Methodological Resource

measurement protocol

A method or protocol for measuring something about drivers: detection-response task procedures, visual occlusion technique, glance coding schemes, takeover-request test protocols, simulator scenario specifications, instrumented-vehicle data collection procedures. The information is HOW TO MEASURE, presented for others to use, distinct from results obtained with the measure (behavioral_performance_data).

1579 paper(s) · newest first · see also all information types

1. Visual-Manual Driver Distraction Guidelines Test Procedures – Task Acceptance Testing Occlusion and Eye Glance Measurement Using Driving Simulator Testing · 2019 · NHTSA · archived
2. Eye Glance Analysis of the Surrogate Tests for Driver Distraction · 2015 · Hsieh, Li et al. · archived
3. Detection-Response Task—Uses and Limitations ↗ · 2018 · Stojmenova, Kristina et al. · indexed
4. The Occlusion Method for Measuring Visual Demand at the IT-Based Driver’s Workplace · 2018 · Bretschneider-Hagemes, Michael · archived
5. AN ALTERNATE METHOD TO EVALUATE DRIVER DISTRACTION ↗ · 2002 · Curry, Reates et al. · indexed
6. Driver Demand: Eye Glance Measures ↗ · 2016 · Seaman, Sean et al. · indexed
7. A Review of Occlusion as a Tool to Assess Attentional Demand in Driving · 2021 · Kujala, Tuomo et al. · archived
8. A Visual Protocol Analysis Method for Collecting Driving Cognitions in Multi-user Driving Simulator Studies ↗ · 2023 · Liang, Ying et al. · indexed
9. Methodology for Capturing Driver Eye Glance Behavior during In-Vehicle Secondary Tasks ↗ · 2005 · Smith, David L. et al. · indexed
10. Enhancing the occlusion technique as an assessment tool for driver visual distraction ↗ · 2010 · Gelau, C. et al. · indexed
11. The Occlusion Procedure for Assessing in-Vehicle Telematics: Tests of Current Vehicle Systems ↗ · 2006 · Harbluk, J.L. et al. · indexed
12. Multi-level Analysis of Distracted Drivers’ Glances: Enhancing the Robustness of the NHTSA Acceptance Criteria ↗ · 2017 · Lee, Ja Young et al. · indexed
13. PADA-AD Test - a standardized test method for assessing takeover performance of drivers during automated driving ↗ · 2022 · Schömig, Nadja et al. · indexed
14. Assessment of the occlusion technique as a means for evaluating the distraction potential of driver support systems ↗ · 2006 · Pettitt, M.A. et al. · indexed
15. Some On-Road Glances are More Equal Than Others: Measuring Engagement in the Driving Task ↗ · 2019 · Hoekstra-Atwood, Liberty et al. · indexed
16. Time-Sharing of a Visual In-Vehicle Task while Driving: Findings from the Task Occlusion Method ↗ · 2003 · Tsimhoni, Omer · indexed
17. Evaluation of in-vehicle HMI using occlusion techniques: experimental results and practical implications ↗ · 2004 · Baumann, Martin et al. · indexed
18. Detection Response Task Evaluation for Driver Distraction Measurement for Auditory-Vocal Tasks: Experiment 2 · 2019 · Ranney, Thomas A. et al. · archived
19. On the relationship between occlusion times and in-car glance durations in simulated driving ↗ · 2023 · Grahn, Hilkka et al. · indexed
20. Distraction Assessment Methods Based on Visual Behavior and Event Detection ↗ · 2008 · Victor, Trent et al. · indexed
21. A Surrogate Test for Cognitive Demand: Tactile Detection Response Task (TDRT) ↗ · 2015 · Hsieh, Li et al. · indexed
22. Validating two assessment strategies for visual and cognitive load in a simulated driving task · 2016 · Castro, S et al. · archived
23. Effects of Visual Demand and In-Vehicle Task Complexity on Driving and Task Performance as Assessed by Visual Occlusion ↗ · 1999 · Tsimhoni, Omer et al. · indexed
24. Extending the Detection Response Task to Simultaneously Measure Cognitive and Visual Task Demands ↗ · 2016 · Strayer, David L. · indexed
25. Evaluation of methods for the assessment of attention while driving ↗ · 2018 · Kircher, Katja et al. · indexed
26. Driver Workload Metrics Project: Task 2 Final Report ↗ · 2006 · U.S. Department of Transportation · indexed
27. Measures and Methods Used to Assess the Safety and Usability of Driver Information Systems · 1995 · Green, Paul · archived
28. Examining potential confounds in use of the detection response task for in-vehicle system evaluation · 2017 · Goethe, RM et al. · archived
29. Evaluating In-Car Tasks’ Distraction Effects with Drive-In Lab · 2025 · Kujala, Tuomo et al. · archived
30. Driver Workload Metrics Task 2 Final Report ↗ · 2006 · Angell, Linda et al. · indexed
31. Linking the Detection Response Task and the AttenD Algorithm Through Assessment of Human–Machine Interface Workload · 2017 · Lee, Joonbum et al. · archived
32. A Dataset on Takeover during Distracted L2 Automated Driving · 2025 · Hwang, Jiwoo et al. · archived
33. The box task - a method for assessing in-vehicle system demand ↗ · 2021 · Trommler, Daniel et al. · indexed
34. How do visual and cognitive non-driving related tasks affect drivers’ visual attention and takeover performance in conditionally automated driving? · 2024 · Pan, Hengyan et al. · archived
35. Occlusion as a measure for visual workload: an overview of TNO occlusion research in car driving ↗ · 2004 · van der Horst, Richard · indexed
36. Second-generation UMTRI coding scheme for classifying driver tasks in distraction studies and application to the ACAS FOT video clips. · 2006 · Yee, Serge et al. · archived
37. In-Vehicle Voice Control Interface Evaluation: Preliminary Driver Workload and Risk Analysis · 2020 · Jenness, James et al. · archived
38. Driver Response to Take-Over Requests in Real Traffic ↗ · 2023 · Pipkorn, Linda et al. · indexed
39. Driver glance behaviors and scanning patterns: Applying static and dynamic glance measures to the analysis of curve driving with secondary tasks ↗ · 2019 · Jeong, Heejin et al. · indexed
40. A Study of the Effect of Varying Visual Occlusion and Task Duration Conditions on Driver Behavior and Performance while Using a Secondary Task Human-Machine Interface ↗ · 2003 · Weir, David H. et al. · indexed
41. Assessment of Secondary Tasks Based on Drivers’ Eye-Movement Features · 2020 · Yao, Ying et al. · archived
42. Effects of Secondary Task Demands on Drivers’ Responses to Events During Driving: Surrogate Methods and Issues · 2007 · Angell, Linda S · archived
43. Towards standardized metrics for measuring takeover performance in conditionally automated driving: A systematic review · 2021 · Tilbury, Dawn M. et al. · archived
44. Measuring Distraction at the Levels of Tactical and Strategic Control: The Limits of Capacity-Based Measures for Revealing Unsafe Visual Sampling Models · 2011 · Kujala, Tuomo et al. · archived
45. Assessing Driver Performance of Lane-Merge Tasks Using Video Capture Method ↗ · 2018 · Bernadin, Shonda et al. · indexed
46. Determining Fixed Glance Duration for Visual Occlusion Research ↗ · 2011 · Chen, Huei-Yen Winnie et al. · indexed
47. On the Difference Between Necessary and Unnecessary Glances Away From the Forward Roadway: An Occlusion Study on the Motorway · 2019 · Kircher, Katja et al. · archived
48. Development of the Enhanced Peripheral Detection Task: A Surrogate Test for Driver Distraction ↗ · 2012 · Hsieh, Li et al. · indexed
49. Guiding Driver Responses During Manual Takeovers from Automated Vehicles · 2023 · Greatbatch, Richard et al. · archived
50. Cooperation Between Vehicle and Driver: Predicting the Driver’s Takeover Capability in Cooperative Automated Driving Based on Orientation Patterns · 2024 · Herzberger, Nicolas et al. · archived
51. Takeover performance evaluation using driving simulation: a systematic review and meta-analysis · 2021 · Soares, Sónia et al. · archived
52. Assessing the visual demand from in-vehicle information systems by means of the occlusion technique: the effects of participant age ↗ · 2008 · Horberry, T. et al. · indexed
53. Multi-Modal Vehicle Display Design and Analysis [Driving with Distractions] · 2004 · Cohen, J. et al. · archived
54. An Empirically Based Suggestion for Reformulating the Glance Duration Criteria in NHTSA's Visual-Manual Interaction Guidelines ↗ · 2013 · Ljung Aust, Mikael et al. · indexed
55. Psychophysiological responses to takeover requests in conditionally automated driving · 2020 · Du, Na et al. · archived
56. Field and Simulator Evaluations of a PC-Based Attention Maintenance Training Program · 2011 · Thomas, F. Dennis et al. · archived
57. Sensitivity of Detection Response Task (DRT) to the Driving Demand and Task Difficulty · 2013 · Bruyas, Marie-Pierre et al. · archived
58. Psychophysiological responses to takeover requests in conditionally automated driving · 2020 · Du, Na et al. · archived
59. Measuring driver distraction – Evaluation of the box task method as a tool for assessing in-vehicle system demand ↗ · 2020 · Morgenstern, Tina et al. · indexed
60. Measuring and Predicting Drivers’ Takeover Readiness and Supporting Takeover Transitions in Automated Driving · 2023 · AAA Foundation for Traffic Safety · archived
61. Look Up! An Eye-Tracking Study on Situation Awareness During Automated Vehicle Takeover ↗ · 2021 · Liang, Nade et al. · indexed
62. Drivers’ Visual Search Strategies in Level 3 Autonomous Driving Depended on Takeover Performance and Takeover Request Lead Time ↗ · 2020 · Jeon, HyunJin et al. · indexed
63. Radio tuning effects on visual and driving performance measures : simulator and test track studies. · 2013 · Perez, Miguel et al. · archived
64. Detection Response Tasks: Using Remote, Headmounted and Tactile Signals to Assess Cognitive Demand While Driving ↗ · 2013 · Harbluk, Joanne L et al. · indexed
65. Visual Demand Evaluation Methods for In-Vehicle Interfaces ↗ · 2012 · Pettitt, Michael et al. · indexed
66. Assessing Text Reading and Text Entry while Driving Using the Visual Occlusion Technique · 2013 · Ghazizadeh, Mahtab et al. · archived
67. On-Road Eye Movement Tracking-Glance Analysis of Dynamic Scenes ↗ · 2005 · Sodhi, Manbir S. · indexed
68. A Driver Situational Awareness Estimation System Based on Standard Glance Model for Unscheduled Takeover Situations ↗ · 2019 · Hayashi, Hiroaki et al. · indexed
69. Study of Reproducibility of Pedal Tracking and Detection Response Task to Assess Driver Distraction ↗ · 2015 · Iwasa, Tatsuya et al. · indexed
70. Measuring the Useful Field of View During Simulated Driving With Gaze-Contingent Displays · 2016 · Gaspar, John G. et al. · archived
71. Visual Demand Evaluation Methods for In-Vehicle Interfaces ↗ · 2010 · Pettitt, Michael et al. · indexed
72. Takeover Response Time Prediction Model Based on Observable Behavior ↗ · 2026 · Qian, Tianyi et al. · indexed
73. The Attentional Demand of Automobile Driving Revisited ↗ · 2015 · Kujala, Tuomo et al. · indexed
74. Applying NHTSA task acceptance criteria to different simulated driving scenarios ↗ · 2015 · Large, David R et al. · indexed
75. A comparison of glance coding approaches for driver attention assessment ↗ · 2024 · Kircher, Katja et al. · indexed
76. Influences of Instructions about Operations on the Evaluation of the Driver Take-Over Task in Cockpits of Highly-Automated Vehicles ↗ · 2021 · Schnöll, Patrick · indexed
77. Automatic processing of gaze movements to quantify gaze scanning behaviors in a driving simulator ↗ · 2020 · Swan, Garrett et al. · indexed
78. Comparison of Static and Driving Simulator Venues for the Tactile Detection Response Task · 2013 · Engström, Johan et al. · archived
79. Effects of Distraction in On-Road Level 2 Automated Driving: Impacts on Glance Behavior and Takeover Performance ↗ · 2021 · Yang, Shiyan et al. · indexed
80. Heavy vehicle driver workload assessment. Task 1, task analysis data and protocols review · 1996 · Tijerina, L et al. · archived
81. Utilizing a remote LED stimulus to concurrently measure cognitive and visual task demand ↗ · 2018 · Motzkus, CJ et al. · indexed
82. Surrogate Measures of Visual Demand while Driving ↗ · 2000 · Farber, Eugene et al. · indexed
83. Eye-Glance Frequency as a Function of Driver's Intent to Change Lanes ↗ · 2018 · Bhattacharya, Sylvia et al. · indexed
84. Construction and Analysis of Driver Takeover Behavior Modes Based on Situation Awareness Theory ↗ · 2024 · Chen, Haolin et al. · indexed
85. Effects of non-driving-related tasks on driving performance after takeover request in automated driving (Level 3): a simulator study · 2025 · Horáková, Miroslava et al. · archived
86. Driver Visual Attention Before and After Take-Over Requests During Automated Driving on Public Roads ↗ · 2022 · Pipkorn, Linda et al. · indexed
87. A Reference Model for Driver Attention in Automation: Glance Behavior Changes During Lateral and Longitudinal Assistance ↗ · 2019 · Morando, Alberto et al. · indexed
88. Glance analysis of driver eye movements to evaluate distraction ↗ · 2002 · Sodhi, Manbir et al. · indexed
89. Examining drivers' eye glance patterns during distracted driving: Insights from scanning randomness and glance transition matrix ↗ · 2017 · Wang, Yuan et al. · indexed
90. Detecting driver distraction · 2018 · Liang, Yulan · archived
91. Detection Algorithm of Takeover Behavior of Automatic Vehicles’ Drivers Based on Deep Learning ↗ · 2019 · Zhang, Li et al. · indexed
92. Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation Awareness ↗ · 2020 · Vogelpohl, Tobias et al. · indexed
93. Preliminary validation of the tactile detection response task (TDRT) for measuring the time-delay effects of cognitive load during actual driving ↗ · 2023 · Syafiq, Mohd Usairy et al. · indexed
94. The power and sensitivity of four core driver workload measures for benchmarking the distraction potential of new driver vehicle interfaces · 2021 · McDonnell, AS et al. · archived
95. The role of take-over cue informativity in interrupted take-over requests in a semi-automated driving scenario · 2026 · Berger, Alexander et al. · archived
96. Spare visual capacity and driver inattention in lateral vehicle control ↗ · 2025 · Sarkar, Abhishek et al. · indexed
97. Research on the Effects of in-Vehicle Human-Machine Interface on Drivers' Pre and Post Takeover Request Eye-tracking Characteristics ↗ · 2022 · Liu, Weimin et al. · indexed
98. On the reliability of the occlusion technique as a tool for the assessment of the HMI of in-vehicle information and communication systems ↗ · 2009 · Gelau, Christhard et al. · indexed
99. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis ↗ · 2025 · Arabian, Ali et al. · indexed
100. Using a visual attentional task and eye-tracking to investigate the effects of pre-takeover resource engagement on attention restoration in conditionally automated driving ↗ · 2025 · Dou, Jinzhen et al. · indexed
101. Sequential In-Vehicle Glance Distributions ↗ · 2014 · Yamani, Yusuke et al. · indexed
102. Effects of various in-vehicle human–machine interfaces on drivers’ takeover performance and gaze pattern in conditionally automated vehicles · 2024 · Shi, Jinlei et al. · archived
103. Assessing the visual and cognitive demands of in-vehicle information systems · 2019 · Strayer, DL et al. · archived
104. Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving ↗ · 2021 · Liang, Nade et al. · indexed
105. Two-stage transition procedure reduces potential hazards on planned transitions in automated driving ↗ · 2024 · Hasegawa, Kunihiro et al. · indexed
106. Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles · 2025 · Gomaa, Amr et al. · archived
107. Sensitivity evaluation of the visual, tactile, and auditory detection response task method while driving ↗ · 2016 · Stojmenova, Kristina et al. · indexed
108. A Comprehensive Review of Driver’s Attention and the Evaluation Methods · 2021 · Abbasi, Elahe et al. · archived
109. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis ↗ · 2026 · Arabian, Ali et al. · indexed
110. Using Driver State Detection in Automated Vehicles · 2018 · Gaspar, John et al. · archived
111. Visual gaze and engagement with non-driving related tasks: a driving simulator study with automated vehicles ↗ · 2025 · Pradhan, Anuj K. · indexed
112. Improvement of Driving Simulator Eye Tracking Software · 2019 · Davis, Brian et al. · archived
113. A Generalized Method to Extract Visual Time-Sharing Sequences From Naturalistic Driving Data ↗ · 2017 · Ahlstrom, Christer et al. · indexed
114. Task-Difficulty Homeostasis in Car Following Models: Experimental Validation Using Self-Paced Visual Occlusion · 2017 · Pekkanen, Jami et al. · archived
115. Eye Glance and Head Turn Correspondence during Secondary Task Performance in Simulator Driving ↗ · 2013 · Talamonti, Walter J. et al. · indexed
116. Stereoscopic 3D dashboards · 2020 · Weidner, Florian et al. · archived
117. How does glance behavior influence crash and injury risk? A ‘what-if’ counterfactual simulation using crashes and near-crashes from SHRP2 ↗ · 2015 · Bärgman, Jonas et al. · indexed
118. How Long <i>Can</i> a Driver (Safely) Glance at an Augmented-Reality Head-Up Display? · 2020 · Faria, Nayara de Oliveira et al. · archived
119. DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data · 2020 · Pakdamanian, Erfan et al. · archived
120. Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection ↗ · 2022 · Qiu, Yuning et al. · indexed
121. Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality · 2024 · Ansar, Muhammad Sajjad et al. · archived
122. Highly automated driving: the role of visuo-attentional and executive abilities in take-over success · 2025 · Schnebelen, Damien et al. · archived
123. Impact of duration of monitoring before takeover request on takeover time with insights into eye tracking data ↗ · 2023 · Huang, Chao et al. · indexed
124. Impact of multi-dimensional cognitive demands on takeover performance, physiological and eye-tracking measures in conditionally automated vehicles ↗ · 2025 · Wang, Ange et al. · indexed
125. Evaluation of the Total Eyes-off-Road Time Glance Criterion in the NHTSA Visual-Manual Guidelines ↗ · 2016 · Young, Richard A. · indexed
126. Automated methods of detecting driver distractions ↗ · 2025 · Reimer, Bryan · indexed
127. Data Reduction Solution for Driving Simulator · 2020 · Pawar, Piyush et al. · archived
128. Prediction of take-over time in highly automated driving by two psychometric tests · 2015 · Körber, Moritz et al. · archived
129. Automatic processing of a car driver eye scanning movements on a simulated highway driving context ↗ · 2002 · Popieul, J.-C. et al. · indexed
130. Takeover performance according to the level of disengagement during automated driving · 2022 · Gallouin, Evan et al. · archived
131. Color Block Task ↗ · 2016 · Wang, Ying et al. · indexed
132. Effect of Directional Auditory Takeover Request on Takeover Behavior and Eye Movement in Conditionally Automated Driving ↗ · 2023 · Ma, Jun et al. · indexed
133. Take-Over Performance and Safety Analysis Under Different Scenarios and Secondary Tasks in Conditionally Automated Driving · 2019 · Wu, Chaozhong et al. · archived
134. Predicting Driver Errors during Automated Vehicle Takeovers · 2023 · Alambeigi, Hananeh et al. · archived
135. Predicting driver distraction using computed occlusion task times : estimation of task element times and distributions. · 2015 · Elwart, Tessa et al. · archived
136. The Tactile Detection Response Task: Preliminary Validation for Measuring the Attentional Effects of Cognitive Load ↗ · 2013 · Young, Richard A et al. · indexed
137. Patterns in transitions of visual attention during baseline driving and during interaction with visual–manual and voice-based interfaces ↗ · 2021 · Reimer, Bryan et al. · indexed
138. Evaluation of a Radio Tuning Task on Android while Driving ↗ · 2015 · Krause, Michael et al. · indexed
139. Developing a New Driving Simulator Task to Assess Drivers' Functional Object Detection ↗ · 2010 · Goodenough, Richard R. et al. · indexed
140. The view from the road: The contribution of on-road glance-monitoring technologies to understanding driver behavior ↗ · 2013 · Taylor, T. et al. · indexed
141. Analyzing Driver Strategy for Scheduled Takeovers Under the Effect of Multi-stage Takeover Request Design ↗ · 2023 · Tan, Xiaomei et al. · indexed
142. Difficulty of Non-Driving Related Task on Driver"s Gaze Fixation and Takeover Performance ↗ · 2021 · Yun, Yong Deok et al. · indexed
143. Measuring cognitive distraction in the automobile · 2013 · Strayer, DL et al. · archived
144. Selection of Measurement Method for Detection of Driver Visual Cognitive Distraction: A Review ↗ · 2017 · Yusoff, Norhasliza M. et al. · indexed
145. SHRP2 naturalistic driving study, phase I summary : State College, Pennsylvania data collection site. · 2013 · Fraser, Janet L. et al. · archived
146. SPIDER 2.0: Driver Distraction and Visual Attention · 2025 · Strayer, David L. · archived
147. Comparing driver reaction and mental workload of visual and auditory take-over request from perspective of driver characteristics and eye-tracking metrics ↗ · 2023 · Chen, Weiya et al. · indexed
148. Eye-head coordination and dynamic visual scanning as indicators of visuo-cognitive demands in driving simulator. · 2020 · Mikula, Laura et al. · archived
149. Driver distraction : a review of the literature ↗ · 2007 · Kircher, Katja · indexed
150. Where drivers are looking at during takeover: Implications for safe takeovers during conditionally automated driving ↗ · 2023 · Huang, Chao et al. · indexed
151. Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios ↗ · 2026 · Lai, Hsueh-Yi et al. · indexed
152. A study of the effect of monitoring request and takeover request time interval on takeover characteristics ↗ · 2025 · Wan, Huasen et al. · indexed
153. EyeSync - Real Time Integration of an Eye Tracker in a Driving Simulator Environment ↗ · 2016 · Loeb, Helen S. et al. · indexed
154. Comprehnsive Measurement and Evidential Evaluation of Driver Drowsiness and Alertness Warning System ↗ · 2026 · Balasubrahmanyan, Chappagadda et al. · indexed
155. Where to gaze during take-over: Eye gaze strategy analysis of different situation awareness and hazard perception levels ↗ · 2023 · Ding, Wen et al. · indexed
156. In a heart beat: Using driver’s physiological changes to determine the quality of a takeover in highly automated vehicles ↗ · 2019 · Alrefaie, Mohamed Taher et al. · indexed
157. Situational Awareness Assessment of Drivers Boosted by Eye-Tracking Metrics: A Literature Review ↗ · 2024 · Arias-Portela, Claudia Yohana et al. · indexed
158. Koordination von Übernahmemanövern beim hochautomatisierten Fahren unter Berücksichtigung der Fahrerverfügbarkeit Coordination of Takeover Maneuvers in Highly Automated Driving Considering Driver Availability · 2021 · Albers, Franz et al. · archived
159. Eye Behaviors: How Driving Simulators can Expand their Role in Science and Engineering ↗ · 2011 · Fisher, Donald L. et al. · indexed
160. New knowledge and methods for mitigating driver distraction · 2018 · Geitner, Claudia · archived
161. The Effect of Urgency of Take-Over Requests During Highly Automated Driving Under Distraction Conditions · 2021 · Naujoks, Frederik et al. · archived
162. Occlusion Paradigm as a Tool to Assess Visual Distraction from In-Vehicle Telematics ↗ · 2002 · Frank, Tracy L. et al. · indexed
163. Analysis of Driver Takeover Performance in Autonomous Vehicles Based on Generalized Estimating Equations ↗ · 2025 · Duan, Min et al. · indexed
164. Effect of Takeover Guidance and Surrounding Traffic Information Affect Takeover Performance in Conditional Driving Automation · 2024 · An, Suyang et al. · archived
165. Research on Multimodal Human-Machine Interface for Takeover Request of Automated Vehicles · 2025 · WANG, Junfeng et al. · archived
166. Determination of Takeover Time Budget Based on Analysis of Driver Behavior · 2022 · Tanshi, Foghor et al. · archived
167. Toward Real-Time Estimation of Driver Situation Awareness: An Eye-tracking Approach based on Moving Objects of Interest ↗ · 2020 · Kim, Hyungil et al. · indexed
168. Gaze Fixation System for the Evaluation of Driver Distractions Induced by IVIS · 2012 · Gil-Jiménez, Pedro et al. · archived
169. A Solution to the Rear-Vision Problem in a Fixed-Base Driving Simulator ↗ · 2004 · Yang, Guihua et al. · indexed
170. Driver response times to auditory, visual, and tactile take-over requests: A simulator study with 101 participants ↗ · 2017 · Petermeijer, Sebastiaan et al. · indexed
171. How Does Approaching a Lead Vehicle and Monitoring Request Affect Drivers’ Takeover Performance? A Simulated Driving Study with Functional MRI ↗ · 2021 · Li, Chimou et al. · indexed
172. How to assess situation awareness while driving with automation? Impact of visual attention during AD mode on measures of situation awareness ↗ · 2025 · Metz, Barbara et al. · indexed
173. Development of a personal computer-based secondary task procedure as a surrogate for a driving simulator · 2007 · Schrock, Steve (Steven Dale) · archived
174. Minimum Time to Situational Awareness During Transfer of Control Under Varying Levels of Task Load · 2020 · Knodler, Michael A. et al. · archived
175. Comparing drivers’ visual attention at Junctions in Real and Simulated Environments · 2019 · Robbins, Chloe J. et al. · archived
176. PILOT-DSM: Risk perception-aligned takeover prompting framework via coverage-gap assessment in conditionally automated driving ↗ · 2026 · Huang, Yexin et al. · indexed
177. Evaluation of the tactile detection response task in a laboratory test using a surrogate driving set‐up ↗ · 2015 · Schindhelm, Roland et al. · indexed
178. Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving · 2020 · Schnebelen, Damien et al. · archived
179. Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis ↗ · 2026 · Chouchane, Hanna et al. · indexed
180. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
181. Exploring Generalizability of Field Experiment Radio Tasks with Naturalistic Driving Data ↗ · 2016 · Seaman, Sean et al. · indexed
182. Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator ↗ · 2022 · Araluce, Javier et al. · indexed
183. Driver Takeover Performance under Different Driving Contexts and Non-Driving Tasks in Level 3 Automated Driving · 2026 · Liu, Meiqi et al. · archived
184. Heavy vehicle driver workload assessment. Task 3, task analysis data collection · 1996 · Kiger, Steven et al. · archived
185. Driving and Speaking: Revelations by the Head-Mounted Detection Response Task · 2013 · Conti, Antonia S et al. · archived
186. Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving ↗ · 2021 · Zhou, Feng et al. · indexed
187. Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving · 2017 · Louw, Tyron et al. · archived
188. The influence of alcohol and automation on drivers visual behavior during test track driving · 2023 · Tivesten, Emma · archived
189. Eye movements in real and simulated driving and navigation control - Foreword to the Special Issue · 2021 · Groner, Rudolf et al. · archived
190. Characterizing visual attention during driving and non-driving hazard perception tasks in a simulated environment ↗ · 2014 · Mackenzie, Andrew K. et al. · indexed
191. Glance behavior as design indices of in-vehicle visual support system: A study using crane simulators ↗ · 2018 · Chew, Jouh Yeong et al. · indexed
192. Driver Distraction: Eye Glance Analysis and Conversation Workload · 2015 · Hickman, Jeffrey S. et al. · archived
193. A Taxonomy for Secondary In-Vehicle Tasks Based on Eye Glance and Task completion Time ↗ · 2005 · Blanco, Myra et al. · indexed
194. The Influence of Visual-Manual Distractions on Anticipatory Driving · 2022 · He, Dengbo et al. · archived
195. Bringing the Driver Back In-The-Loop: Usefulness of Letting the Driver Know the Duration of an Automated Drive and its Impact on Takeover Performance · 2022 · Marx, Cyril et al. · archived
196. Characterizing Driver Behavior during Emergency Vehicle Encounters: An Application of a VR Driving Simulator with Integrated Eye-Tracking ↗ · 2026 · Liu, Lanmin et al. · indexed
197. Eye Tracking in Driver Attention Research—How Gaze Data Interpretations Influence What We Learn ↗ · 2021 · Ahlström, Christer et al. · indexed
198. Gaze behaviours engaged while taking over automated driving: a systematic literature review ↗ · 2022 · Deniel, Jonathan et al. · indexed
199. Gaze Entropy and Driver Safety: Understanding Cognitive Failure and Situational Response Before Take-over ↗ · 2025 · Chang, Mi et al. · indexed
200. Evaluating Visual Display Designs in Vehicles: Advantages and Disadvantages of the Occlusion Technique ↗ · 2000 · Krems, Josef F. et al. · indexed
201. Using the ISO Detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways ↗ · 2024 · Biondi, Francesco N. et al. · indexed
202. Developing a Driving Simulator Based Functional Object Detection Task ↗ · 2012 · Goodenough, Richard R. et al. · indexed
203. Does order matter? Investigating the effect of sequence on glance duration during on-road driving ↗ · 2017 · Lee, Joonbum et al. · indexed
204. Assessing Driver Distraction Due to In-Vehicle Video Systems through Field Testing at the Pecos Research and Testing Center · 2007 · Funkhouser, Dillon et al. · archived
205. Time-Sharing of a Visual In-Vehicle Task While Driving: The Effects of Four Key Constructs ↗ · 2003 · Tsimhoni, Omer et al. · indexed
206. Discriminative Capabilities of Eye Gaze Measures for Cognitive Load Evaluation in a Driving Simulation Task ↗ · 2025 · Bakhchina, Anastasiia et al. · indexed
207. A systematic review on test performance of the driver takeover process in automated driving ↗ · 2025 · Chen, Haolin et al. · indexed
208. A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations · 2021 · Mao, Runze et al. · archived
209. Effects of directional TOR interfaces on takeover performance: A protocol for a systematic review and meta-analysis · 2026 · Zhang, Wei et al. · archived
210. In-vehicle displays for driving automation: a scoping review of display design and evaluation using driver gaze measures ↗ · 2024 · Kanaan, Dina et al. · indexed
211. Comparison of Two Eye-Gaze Based Real-Time Driver Distraction Detection Algorithms in a Small-Scale Field Operational Test · 2009 · Kircher, Katja et al. · archived
212. Operational Definitions of Driving Performance Measures and Statistics ↗ · 2015 · Driver Metrics, Performance, Behaviors and States Committee · indexed
213. Response time and eye tracking datasets for activities demanding varying cognitive load ↗ · 2020 · Pillai, Prarthana et al. · indexed
214. Behavioral Changes to Repeated Takeovers in Highly Automated Driving: Effects of the Takeover-Request Design and the Nondriving-Related Task Modality ↗ · 2018 · Roche, Fabienne et al. · indexed
215. In-Vehicle Information Systems Behavioral Model and Design Support: Final Report · 2000 · Hankey, J. M. et al. · archived
216. Cognitive distraction impairs drivers' anticipatory glances: An on-road study · 2015 · Biondi, F et al. · archived
217. Sensitivity of the lane change test as a measure of in-vehicle system demand ↗ · 2011 · Young, Kristie L. et al. · indexed
218. Identifying Outcome Measures to Evaluate Drivers’ Knowledge of Vehicle Automation · 2024 · AAA Foundation for Traffic Safety · archived
219. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · Miller, Marty et al. · archived
220. Automated Driving: A Literature Review of the Take over Request in Conditional Automation · 2020 · Morales-Alvarez, Walter et al. · archived
221. Temporal Dashboard Gaze Variance (TDGV) Changes for Measuring Cognitive Distraction While Driving ↗ · 2022 · Marx, Cyril et al. · indexed
222. Eye Glance Behavior during Lane Changes and Straight-Ahead Driving ↗ · 2005 · Olsen, Erik C. B. et al. · indexed
223. Assessing the validity of situation awareness measures through visual behaviours in car driving: A comprehensive review ↗ · 2026 · Pelerin, Maëlle et al. · indexed
224. A validation study of a fixed‐based, medium fidelity driving simulator for human–machine interfaces visual distraction testing ↗ · 2023 · Large, David R. et al. · indexed
225. Heatmap-Based Method for Estimating Drivers' Cognitive Distraction · 2020 · Musabini, Antonyo et al. · archived
226. Evaluation of Imminent Take-Over Requests With Real Automation on a Test Track ↗ · 2021 · Wintersberger, Philipp et al. · indexed
227. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al. · indexed
228. Behavioral Indicators of Drowsy Driving: Active Search Mirror Checks · 2022 · Meyer, Jason E. et al. · archived
229. Detecting driver's visual attention area by using vehicle-mounted device ↗ · 2017 · Mizuno, Nobuhiro et al. · indexed
230. The Impact of N-back-Induced Mental Workload and Time Budget on Takeover Performance · 2025 · Goodridge, Courtney Michael et al. · archived
231. The Effects of Multi-modal Takeover Request on Distracted Drivers’ Takeover Performance and Perception · 2022 · Yang, Ye et al. · archived
232. A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding · 2023 · Sharma, Pavan Kumar et al. · archived
233. Exploring the effect of driver drowsiness on takeover performance during automated driving: An updated literature review · 2025 · Pan, Hengyan et al. · archived
234. Predicting Drivers’ Eyes-Off-Road Duration in Different Driving Scenarios ↗ · 2018 · Yuan, Wei et al. · indexed
235. Effects of cognitive and visual loads on driving performance after take-over request (TOR) in automated driving ↗ · 2020 · Choi, Damee et al. · indexed
236. Research on testing technology of distraction monitoring system based on driver attention transfer features ↗ · 2025 · Liu, Jiajie et al. · indexed
237. On the highway measures of driver glance behavior with an example automobile navigation system ↗ · 2004 · Chiang, Dean P. et al. · indexed
238. A Driver Reaction Time Detection System Design ↗ · 2022 · Cheng, Yuhui et al. · indexed
239. Driver Distraction Detection Methods: A Literature Review and Framework · 2021 · Kashevnik, Alexey et al. · archived
240. Detecting Driver Distraction · 2018 · Eskenazi, Maxine et al. · archived
241. Visual demand of curves and fog-limited sight distance and its relationship to brake response time. · 2006 · Cullinane, Brian et al. · archived
242. Gaze Strategies in Driving–An Ecological Approach ↗ · 2022 · Lappi, Otto · indexed
243. Comparing Eye-tracking System Effectiveness in Field and Driving Simulator Studies ↗ · 2023 · Calvi, Alessandro et al. · indexed
244. Attention-guiding Takeover Requests for Situation Awareness in Semi-autonomous Driving ↗ · 2023 · Chen, Qingxin et al. · indexed
245. A distraction index for quantification of driver eye glance behavior: A study using SHRP2 NEST database ↗ · 2019 · Bakhit, Peter R. et al. · indexed
246. Effect of Obstacle Type and Cognitive Task on Situation Awareness and Takeover Performance in Conditionally Automated Driving · 2023 · Meteier, Quentin et al. · archived
247. Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance? · 2019 · Bärgman, Jonas et al. · archived
248. An analysis of the suitability of a low-cost eye tracker for assessing the cognitive load of drivers ↗ · 2018 · Čegovnik, Tomaž et al. · indexed
249. Mitigating effects of distraction: Drivers adjust speed and glance behaviour during secondary tasks in a driving simulator study ↗ · 2026 · Kummerer, Katharina et al. · indexed
250. Effects of time interval and request modality on driver takeover responses: Identifying the optimal time interval for two-stage warning system ↗ · 2025 · Zhang, Jie et al. · indexed
251. Driving Simulator Validation for In-Vehicle Human Machine Interface Assessment ↗ · 2019 · McWilliams, Thomas et al. · indexed
252. Ocular Movement during Curbside Turns at Intersections ↗ · 2003 · Kitajima, Muneo et al. · indexed
253. DReyeVR: Democratizing Virtual Reality Driving Simulation for Behavioural & Interaction Research · 2022 · Silvera, Gustavo et al. · archived
254. The development of a driving simulator for driver’s response during obstacle avoidance task ↗ · 2024 · Ismail, Nursya Mimie Ayuny et al. · indexed
255. Capturing the Mind: Non-Driving-Related Tasks as a Window into Cognitive Engagement in Automated Driving ↗ · 2024 · Bai, Xiaolu et al. · indexed
256. Beyond distraction: unraveling touchscreen effects on driver takeover performance and visual attention dynamics in Level 3 automated driving ↗ · 2026 · Li, Jiateng et al. · indexed
257. Übernahmeaufforderungen beim hochautomatisierten Fahren mit fahrfremden Tätigkeiten – welche Modalitäten sind geeignet? Takeover requests at conditional automated driving with non-driving related activities—which are suitable modalities? · 2022 · Müller, Andreas Lars et al. · archived
258. Development of a Method to Estimate Shortage of Situation Awareness in Takeover based on Reference Model of Cognitive Behavior ↗ · 2020 · OKA, Naoki et al. · indexed
259. Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving ↗ · 2018 · Wandtner, Bernhard et al. · indexed
260. Training Novice Drivers to Shorten Distraction Time [Traffic Tech] · 2010 · NHTSA · archived
261. A quantitative model of takeover request time budget for conditionally automated driving · 2024 · Tanshi, Foghor et al. · archived
262. Human-Centered Intervention Based on Tactical-Level Input in Unscheduled Takeover Scenarios for Highly-Automated Vehicles · 2020 · Kamezaki, Mitsuhiro et al. · archived
263. Taking Over Control from Highly Automated Vehicles ↗ · 2021 · Gold, Christian et al. · indexed
264. Allocation of Drivers’ Visual Attention During Preliminary Uses of Automated Driving: A Wizard-of-Oz Study · 2022 · Barré, Jessy et al. · archived
265. What Can Be Predicted from Six Seconds of Driver Glances? · 2017 · Fridman, Lex et al. · archived
266. Real-World Evaluation of the Impact of Automated Driving System Technology on Driver Gaze Behavior, Reaction Time and Trust · 2021 · Morales-Alvarez, Walter et al. · archived
267. Strategies of Visual Search by Novice and Experienced Drivers · 1972 · Mourant, Ronald R. et al. · archived
268. Development of a Test Protocol to Demonstrate the Effects of Secondary Tasks on Closed-Course Driving Performance ↗ · 2001 · Ranney, Thomas A. et al. · indexed
269. Driver visual attention and in-vehicle touchscreen: the role of short training session · 2026 · Hazoor, Abrar et al. · archived
270. Countermeasures To Detect and Combat Inattention While Driving Partially Automated Systems · 2023 · Paras, Carolina Rodriguez et al. · archived
271. Comparing eye-tracking metrics of mental workload caused by NDRTs in semi-autonomous driving ↗ · 2022 · Chen, Weiya et al. · indexed
272. Think Aloud Protocol Applied in Naturalistic Driving for Driving Rules Generation ↗ · 2020 · Monsalve, Borja et al. · indexed
273. Model-based estimation of the state of vehicle automation as derived from the driver's spontaneous visual strategies · 2019 · Schnebelen, Damien et al. · archived
274. Secondary task boundaries influence drivers' glance durations ↗ · 2015 · Lee, Ja Young et al. · indexed
275. Transition in Different Critical Situations: How Non-Driving Related Tasks Affect Drivers’ Physiological Response and Takeover Behavior After Partial Automation Silent Failures ↗ · 2024 · Xu, Linli et al. · indexed
276. Evaluating the Effects of Secondary Tasks on Driver Gaze Duration: A Duration Modeling Approach ↗ · 2025 · Ali, Yasir et al. · indexed
277. Mearsurment of functional near-infrared spectroscopy signals in distracted drivers v1 · 2017 · Xu, Gongcheng · archived
278. Development and Validation of an Ecological Driver Distraction Evaluation Tool ↗ · 2017 · Young, Kristie L. et al. · indexed
279. Testing Senders’ Visual Occlusion Model: Do Operators (Drivers) Really Predict During Visual Occlusion? ↗ · 2022 · Chen, Huei-Yen Winnie et al. · indexed
280. Predicting driver takeover performance in conditionally automated driving ↗ · 2020 · Du, Na et al. · indexed
281. Comparison of Video-based Driver Gaze Region Estimation Techniques ↗ · 2022 · Yang, Tongxiao et al. · indexed
282. Methodological Approach towards Evaluating the Effects of Non-Driving Related Tasks during Partially Automated Driving ↗ · 2020 · Hollander, Cornelia et al. · indexed
283. The importance of task duration and related measures in assessing the distraction potential of in-vehicle tasks ↗ · 2010 · Burns, Peter et al. · indexed
284. Effects of different takeover request interfaces on takeover behavior and performance during conditionally automated driving ↗ · 2021 · Ou, Yang-Kun et al. · indexed
285. Analysis of Gaze Behavior to Measure Cognitive Distraction in Real-World Driving ↗ · 2018 · Yang, Shiyan et al. · indexed
286. Take-Over Requests for Automated Driving ↗ · 2015 · Melcher, Vivien et al. · indexed
287. Non intrusive physiological measurement for driver cognitive distraction detection: Eye and mouth movements ↗ · 2010 · Azman, Afizan et al. · indexed
288. Glance strategies for using an in-vehicle touch-screen monitor. · 2009 · Fuller, Helen et al. · archived
289. Estimation of Cognitive Distraction from Driver Gazing ↗ · 2017 · Yoshizama, Akira et al. · indexed
290. Feasibility of a Portable Data Acquisition System for Driver Performance Testing ↗ · 1996 · Carter, Richard J. et al. · indexed
291. Visual Attention and Driving: How to Measure it and How to Train it ↗ · 2014 · Mackenzie, A.K et al. · indexed
292. Test procedure for the evaluation of partially automated driving HMI including driver monitoring systems in driving simulation ↗ · 2024 · Schömig, Nadja et al. · indexed
293. Open Source Computer Vision Solution for Head and Gaze Tracking in a Driving Simulator Environment ↗ · 2015 · Caplow-Munro, Devin SJ et al. · indexed
294. Getting back in the loop: Does autonomous driving duration affect driver's takeover performance? · 2024 · Portron, Arthur et al. · archived
295. Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers' Takeover Performance in Conditionally Automated Driving ↗ · 2020 · Du, Na et al. · indexed
296. Evaluation of the Minimum Forward Roadway Glance Duration ↗ · 2015 · Samuel, Siby et al. · indexed
297. Analysis of selected off-road glances during driving in real road traffic ↗ · 2020 · Bucsuházy, Kateřina et al. · indexed
298. A Measurement Systems Analysis of Total Shutter Open Time (TSOT) as a Distraction Metric for Visual-Manual Tasks ↗ · 2007 · Tijerina, Louis et al. · indexed
299. Detection and response to critical lead vehicle deceleration events with peripheral vision: Glance response times are independent of visual eccentricity ↗ · 2021 · Svärd, Malin et al. · indexed
300. Driver Eye Glance Behavior During Car Following on the Road ↗ · 1999 · Tijerina, Louis · indexed
301. Automobile Driver On-Road Performance Test. Volume 1, Final Report · 1981 · McPherson, Kenard et al. · archived
302. What determines the take-over time? An integrated model approach of driver take-over after automated driving ↗ · 2015 · Zeeb, Kathrin et al. · indexed
303. Modeling Effects of Forward Glance Durations on Latent Hazard Detection ↗ · 2017 · Park, Hyoshin et al. · indexed
304. Spotting sheep in Yorkshire: using eye-tracking for studying situation awareness in a driving simulator ↗ · 2010 · Barnard, Yvonne et al. · indexed
305. Visual Demand of Driving Curves as Determined by Visual Occlusion ↗ · 1980 · Tsimhoni, Omer et al. · indexed
306. Visual and cognitive demands of using in-vehicle infotainment systems · 2017 · Strayer, DL et al. · archived
307. Dynamic scan paths investigations under manual and highly automated driving · 2021 · Navarro, Jordan et al. · archived
308. A Framework for Modelling and Analysing Variability in Visual Occlusion Experiments ↗ · 2013 · Chen, Huei-Yen Winnie et al. · indexed
309. The effects of takeover request modalities on highly automated car control transitions ↗ · 2019 · Yoon, Sol Hee et al. · indexed
310. Visual exploration strategies of experienced and non-experienced drivers during the takeover of an automated vehicle ↗ · 2026 · Maëlle, Pelerin et al. · indexed
311. Toward Measurement of Situation Awareness in Autonomous Vehicles ↗ · 2017 · Sirkin, David et al. · indexed
312. The Development of Standard Protocols to Improve the Quality of Driving Simulator Research · 2022 · Harvey, Catherine et al. · archived
313. Research on Evaluation Model for Secondary Task Driving Safety Based on Driver Eye Movements ↗ · 2014 · Jin, Lisheng et al. · indexed
314. Using Occlusion to Measure the Effects of the NHTSA Participant Criteria on Driver Distraction Testing ↗ · 2014 · Domeyer, Joshua E. et al. · indexed
315. Characterizing Drivers' Peripheral Vision via the Functional Field of View for Intelligent Driving Assistance · 2023 · Biswas, Abhijat et al. · archived
316. Analysis of Drivers' Head and Eye Movement Correspondence: Predicting Drivers' Glance Location Using Head Rotation Data ↗ · 2015 · Muñoz, Mauricio et al. · indexed
317. Visual and cognitive demands of using in-vehicle infotainment systems · 2017 · Cooper, JM et al. · archived
318. Driving Fatigue Onset and Visual Attention: An Electroencephalography-Driven Analysis of Ocular Behavior in a Driving Simulation Task · 2024 · Giorgi, Andrea et al. · archived
319. Enhancing safety in conditionally automated driving: Can more takeover request visual information make a difference in hazard scenarios with varied hazard visibility? ↗ · 2024 · Huang, Wei-Chi et al. · indexed
320. Crash Risk: Eye Movement as Indices for Dual Task Driving Workload · 2009 · Kang, Julie J et al. · archived
321. Development of a Robust Database for Measuring Human Gaze Behavior and Performance during Naturalistic Driving ↗ · 2017 · Tavassoli, Abtine et al. · indexed
322. Exploring the Relationship Between Drivers’ Stationary Gaze Entropy and Situation Awareness in a Level-3 Automation Driving Simulation ↗ · 2024 · Ding, Wen et al. · indexed
323. Can we talk about Speed? The Effect of Verbal Protocols on Driver Speed and Perceived Workload ↗ · 2015 · Thomas, Miles et al. · indexed
324. Off-Road Glance Behavior, Response Time to a Forward Collision Hazard, and Engagement Strategy Effects in Automated Driving ↗ · 2017 · Blommer, Mike et al. · indexed
325. Event Detection: The Second Dimension of Driver Performance for Visual-Manual Tasks ↗ · 2012 · Young, Richard A. · indexed
326. Get Ready for Take-Overs: Using Head-Up Display for Drivers to Engage in Non–Driving-Related Tasks in Automated Vehicles ↗ · 2021 · Li, Xiaomeng et al. · indexed
327. Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data ↗ · 2024 · Teshima, Takaaki et al. · indexed
328. Design of an Experiment to Pinpoint Cognitive Failure Processes in the Interaction of Motorists and Vulnerable Road Users ↗ · 2023 · Denk, Florian et al. · indexed
329. An Evaluation of Alternative Methods for Assessing Driver Workload in the Early Development of In-Vehicle Information Systems ↗ · 2002 · Angell, Linda S. et al. · indexed
330. On-road driver eye movement tracking using head-mounted devices ↗ · 2002 · Sodhi, M. et al. · indexed
331. Verbal and Spatial Loading Effects on Eye Movements in Driving Simulators: A Comparison to Real World Driving ↗ · 2002 · Hammel, Kim R. et al. · indexed
332. Take-over performance in evasive manoeuvres · 2017 · Happee, Riender et al. · archived
333. On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions · 2023 · Ebel, Patrick et al. · archived
334. Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment ↗ · 2023 · Presta, Roberta et al. · indexed
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336. Evaluation of Cognitive Distraction in a Real Vehicle Based on the Reflex Eye Movement · 2018 · Son, Le Anh et al. · archived
337. Measuring Inhibitory Control in Driver Distraction ↗ · 2014 · Hoekstra-Atwood, Liberty et al. · indexed
338. Eye Glance and Head Turn Correspondence during Secondary Task Performance in Simulator Driving ↗ · 2014 · Talamonti, Walter J. et al. · indexed
339. Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving ↗ · 2022 · Peng, Haorong et al. · indexed
340. Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data ↗ · 2020 · Pakdamanian, Erfan et al. · indexed
341. Assessment selection in human-automation interaction studies: The Failure-GAM2E and review of assessment methods for highly automated driving · 2018 · Grane, Camilla · archived
342. A reference level for assessing the acceptable visual demand of in-vehicle information systems ↗ · 2010 · Stevens, Alan et al. · indexed
343. Driving with Visual Field Loss: An Exploratory Simulation Study · 2009 · Lockhart, Julie et al. · archived
344. Evaluation and Validation of Distraction Detection Algorithms on Multiple Data Sources ↗ · 2018 · Mehrotra, Shashank Kumar et al. · indexed
345. The effect of cognitive load on Detection-Response Task (DRT) performance during day- and night-time driving: A driving simulator study · 2023 · Öztürk, İbrahim et al. · archived
346. Measuring Driving Behaviors from Live Video ↗ · 2012 · Wang, Kunfeng et al. · indexed
347. An Accuracy Analysis of Techniques for Measuring the Durations of In-Car Manual Tasks ↗ · 1992 · Grant, Barry S. et al. · indexed
348. Toward Driver Stage-wise Takeover Behavior in Autonomous Driving: A Cognitive Process Modeling Approach for Adaptive Takeover Requests Design ↗ · 2026 · Wang, Jie et al. · indexed
349. Human Factors of Driving Automation: Evasive Maneuver Event Response Evaluation · 2023 · Britten, Nicholas N et al. · archived
350. Driver Distraction Using Visual-Based Sensors and Algorithms · 2016 · Fernández, Alberto et al. · archived
351. Eye movement analysis in dynamic scenes: presentation and application of different methods in bend taking during car driving ↗ · 2017 · Navarro, Jordan et al. · indexed
352. Eye Glance Behavior Associated with Cell-Phone Use ↗ · 2014 · Bao, Shan et al. · indexed
353. The Critical Tracking Task ↗ · 2013 · Petzoldt, Tibor et al. · indexed
354. But first let me see: Comparison of light cues after a take-over request in automated driving ↗ · 2025 · Kuhlmann, Kerstin et al. · indexed
355. The Effects of Distraction on Anticipatory Driving · 2018 · He, Dengbo et al. · archived
356. Eye Movement Patterns and Driving Performance ↗ · 2011 · Bian, Zheng et al. · indexed
357. Evaluation of the Effectiveness of a Gaze-Based Training Intervention on Latent Hazard Anticipation Skills for Young Drivers: A Driving Simulator Study · 2018 · Yamani, Yusuke et al. · archived
358. The impact of non-driving related tasks on the development of driver sleepiness and takeover performances in prolonged automated driving ↗ · 2023 · Pan, Hengyan et al. · indexed
359. Considerations When Calculating Percent Road Centre From Eye Movement Data in Driver Distraction Monitoring · 2009 · Ahlstrom, Christer et al. · archived
360. Drivers’ Psychomotor Reaction Times Tested with a Test Station Method ↗ · 2021 · Szydłowski, Tomasz et al. · indexed
361. Impact of information bandwidth of in-vehicle technologies on drivers' attention maintenance performance: A driving simulator study ↗ · 2018 · Yamani, Yusuke et al. · indexed
362. Evaluation of Visual Risk Perception of Automated Driving Tasks by Analyzing Gaze Pattern Dispersion ↗ · 2024 · Liu, Chao et al. · indexed
363. Visual Scanning Training for Older Drivers: A Literature Review · 2018 · Lococo, Kathy H. et al. · archived
364. Focal and Ambient Visual Contributions and Driver Visual Scanning in Lane Keeping and Hazard Detection ↗ · 2004 · Horrey, William J. et al. · indexed
365. Cooperative Overtaking: Overcoming Automated Vehicles' Obstructed Sensor Range via Driver Help · 2019 · Walch, Marcel et al. · archived
366. EVALUATION OF TECHNIQUES FOR OCULAR MEASUREMENT AS AN INDEX OF FATIGUE AND THE BASIS FOR ALERTNESS MANAGEMENT ↗ · 1998 · Dinges, David F. et al. · indexed
367. Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets · 2022 · Kotseruba, Iuliia et al. · archived
368. A Wizard-of-Oz experimental approach to study the human factors of automated vehicles: Platform and methods evaluation ↗ · 2020 · Pai, Ganesh et al. · indexed
369. Sequential In-Vehicle Glance Analysis of Attention Maintenance Behavior for Trained and Untrained Young Drivers ↗ · 2017 · Bıçaksız, Pinar et al. · indexed
370. Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks · 2020 · Lotz, Alexander et al. · archived
371. Drivers use active gaze to monitor waypoints during automated driving · 2021 · Mole, Callum et al. · archived
372. Eye-based driver state monitor of distraction, drowsiness, and cognitive load for transitions of control in automated driving ↗ · 2016 · Cabrall, Christopher et al. · indexed
373. Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance · 2025 · Liang, Kexin et al. · archived
374. Supporting Driver Attention Toward Potential Hazards During Takeover: A Preliminary Result ↗ · 2024 · Tilbury, Dawn M. et al. · indexed
375. Drivers’ Performance in Non-critical Take-Overs From an Automated Driving System—An On-Road Study ↗ · 2022 · Rydström, Annie et al. · indexed
376. A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments ↗ · 2020 · Innes, Reilly J. et al. · indexed
377. Toward Hazard or Action? Effects of Directional Vibrotactile Takeover Requests on Takeover Performance in Automated Driving ↗ · 2022 · Shi, Jinlei et al. · indexed
378. Drivers Glance Like Lizards during Cell Phone Distraction in Assisted Driving ↗ · 2021 · Yang, Shiyan et al. · indexed
379. Validation of auditory detection response task method for assessing the attentional effects of cognitive load ↗ · 2018 · Stojmenova, Kristina et al. · indexed
380. Third Annual Report of the Crash Avoidance Metrics Partnership, April 2003 – March 2004 · 2005 · Deering, Richard K. et al. · archived
381. Hazard Perception in Driving: A Systematic Literature Review · 2022 · Cao, Shi et al. · archived
382. Spotlighting distraction in artificial intelligence driver assistance systems · 2023 · Cardoso, Bruno et al. · archived
383. Design of the New Foot Psychomotor Vigilance Test (PVT) for Screening Driving Ability ↗ · 2025 · Yoshida, Yutaka et al. · indexed
384. Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance ↗ · 2023 · Ezzati Amini, Roja et al. · indexed
385. The Effect of Directional Tactile Guidance on Takeover Performance in Level 3 Automated Driving ↗ · 2025 · Liang, Xinying et al. · indexed
386. The Effect of Driving Automation on Drivers' Anticipatory Glances · 2021 · He, Dengbo et al. · archived
387. A Systematic Review of Metrics Measuring Takeover Performance in Conditionally Automated Driving ↗ · 2025 · Tilbury, Dawn M. et al. · indexed
388. How to Design the Emergency of Takeover Warning and Takeover Scene to Make Drivers have Better Takeover Performance? ↗ · 2024 · Wang, Zhihao et al. · indexed
389. Laboratory and Closed-Course Measures of Driver Decision Making ↗ · 1991 · Ranney, Thomas A. · indexed
390. Analysis of the Effect of Non-Driving-Related Tasks on Drivers’ Visual Load ↗ · 2024 · Pang, Yuwei et al. · indexed
391. Individual Differences and in-Vehicle Distraction While Driving: A Test Track Study and Psychometric Evaluation ↗ · 1999 · Tijerina, Louis et al. · indexed
392. A methodology for assessing driver perception-response time during unanticipated cross-centerline events ↗ · 2021 · Riexinger, Luke E. et al. · indexed
393. 62‐3: <i>Invited Paper:</i> Human Interface Design in Transition from Automated Driving to Manual Driving ↗ · 2018 · Sato, Toshihisa · indexed
394. DRIVER DISTRACTION ASSOCIATED WITH MOBILE PHONE TACTILE TASKS: A DRIVING SIMULATOR-BASED STUDY · 2025 · Mohd Siam, Mohd Firdaus et al. · archived
395. A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging ↗ · 2026 · Seacrist, Thomas et al. · indexed
396. Driver response and recovery following automation initiated disengagement in real-world hands-free driving ↗ · 2023 · Gershon, Pnina et al. · indexed
397. Distracted when Using Driving Automation: A Quantile Regression Analysis of Driver Glances Considering Task Type · 2022 · He, Dengbo et al. · archived
398. Looks Are (Almost) Everything: Where Drivers Look to Get Information ↗ · 2008 · Shinar, David · indexed
399. Bridging Gaps Among Human, Assisted, and Automated Driving With DVIs: A Conceptional Experimental Study ↗ · 2018 · Wang, Jiao et al. · indexed
400. Assessing Energy-Related Situation Awareness Using Self-Controlled Occlusion During Electric Vehicle Driving Scenes · 2024 · Gödker, Markus et al. · archived
401. Investigating the correspondence between driver head position and glance location · 2018 · Lee, Joonbum et al. · archived
402. Multimodal warning design for take-over request in conditionally automated driving · 2020 · Yun, Hanna et al. · archived
403. Using Eye-Tracking for Traffic Control Signage Design at Highway Work Zone ↗ · 2022 · Tang, Ming et al. · indexed
404. Autonomous driving: investigating the feasibility of car-driver handover assistance · 2015 · Walch, Marcel et al. · archived
405. Illuminating Safety: Can Light Cues Enhance Situation Awareness During Take-Overs in Conditional Automated Driving? ↗ · 2024 · Kuhlmann, Kerstin et al. · indexed
406. Deep learning–based eye tracking system to detect distracted driving ↗ · 2024 · Xin, Song et al. · indexed
407. Effects of active and passive secondary tasks in a take-over situation during automated driving ↗ · 2017 · Nakajima, Yutaka et al. · indexed
408. Assessing the Mental States of Fallback-Ready Drivers in Automated Driving by Electrooculography ↗ · 2019 · Wu, Yanbin et al. · indexed
409. Computer vision and driver distraction: Developing a behaviour-flagging protocol for naturalistic driving data ↗ · 2014 · Kuo, Jonny et al. · indexed
410. Mapping Visual Fields in a Panoramic Driving Simulator Under Different Task Loads in Patients with Glaucoma ↗ · 2019 · Ghate, Deepta et al. · indexed
411. An extended keystroke level model (KLM) for predicting the visual demand of in-vehicle information systems ↗ · 2007 · Pettitt, Michael et al. · indexed
412. Method for the evaluation of distraction effects of head-up displays in vehicles using the example of smart glasses ↗ · 2023 · Wiedemann, Katharina et al. · indexed
413. Evaluation of Takeover Time Performance of Drivers in Partially Autonomous Vehicles Using a Wearable Sensor ↗ · 2022 · Dogan, Daghan et al. · indexed
414. Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving ↗ · 2016 · Zeeb, Kathrin et al. · indexed
415. EEG correlates of active visual search during simulated driving: An exploratory study · 2014 · Renold, Hadrien et al. · archived
416. Visual Monitoring of Driver Inattention · 2008 · Bergasa, Luis M. et al. · archived
417. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · NHTSA · archived
418. Comparing Methods of Detecting Mind Wandering While Driving · 2017 · Barragan, Daniela et al. · archived
419. Estimation of Older Driver's Cognitive Performance and Workload Using Features of Eye movement and Pupil Response on Test Routes ↗ · 2022 · Nakayama, Minoru et al. · indexed
420. A broader application of the detection response task to cognitive tasks and online environments ↗ · 2019 · Innes, Reilly James et al. · indexed
421. Short-Term Performance of Visual Attention Prompt Methods Across Driver Proficiency in a Driving Simulator ↗ · 2026 · Liang, Jinwei et al. · indexed
422. Visual Demand of Driving and the Execution of Display-Intensive in-Vehicle Tasks ↗ · 2001 · Tsimhoni, Omer et al. · indexed
423. Comparing Eye-Tracking Metrics with the Driver Activity Load Index ↗ · 2026 · Bend, Julia et al. · indexed
424. Eye movements and hazard perception in active and passive driving ↗ · 2015 · Mackenzie, Andrew K. et al. · indexed
425. Driving Performance while Engaged in MP-3 Player Interaction: Effects of Practice and Task Difficulty on PRT and Eye Movements · 2007 · Chisholm, Susan et al. · archived
426. A Novel Technique for Faster Responses to Take Over Requests in an Automated Vehicle ↗ · 2021 · Walker, Francesco et al. · indexed
427. Comparison Between Visual and Tactile Signal Detection Tasks Applied to the Safety Assessment of In-Vehicle Information Systems ↗ · 2005 · Engström, Johan et al. · indexed
428. Definition of Simulated Driving Tests for the Evaluation of Drivers’ Reactions and Responses ↗ · 2013 · Bartolozzi, Riccardo et al. · indexed
429. SCANNING FOR CRITICAL EVENTS DURING DRIVING: VISUAL SCANNING USING EYE TRACKING TECHNOLOGY ON A DRIVING SIMULATOR ↗ · 2019 · Dickerson, Anne E et al. · indexed
430. The evaluation of the electrooculogram as a psychophysiological measuring instrument in the driver study of driver behaviour ↗ · 1993 · GALLEY, NIELS · indexed
431. Assessing Different Methods for Detection of Distracted Driving ↗ · 2023 · Woods, Amber N. et al. · indexed
432. Visual Attention Demand Evaluation of Conventional and Multifunction in-Vehicle Information Systems ↗ · 2000 · Gellatly, Andrew W. et al. · indexed
433. A study on recognition of in-car visual information ↗ · 2002 · Kamiya, H. et al. · indexed
434. Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving ↗ · 2016 · Borojeni, Shadan Sadeghian et al. · indexed
435. Impact of Temporary Browsing Restrictions on Drivers’ Situation Awareness When Interacting with In-Vehicle Infotainment Systems · 2022 · Meyer, Jason et al. · archived
436. On-to-off-path gaze shift cancellations lead to gaze concentration in cognitively loaded car drivers: A simulator study exploring gaze patterns in relation to a cognitive task and the traffic environment ↗ · 2020 · Nilsson, Emma J. et al. · indexed
437. Using the Lane-Change Test (LCT) to Assess Distraction: Tests of Visual-Manual and Speech-Based Operation of Navigation System Interfaces ↗ · 2007 · Harbluk, Joanne L et al. · indexed
438. Hazard Detection in Driving Simulation using Deep Learning ↗ · 2021 · Pawar, Piyush et al. · indexed
439. Blink Rate as a Measure of Driver Workload during Simulated Driving ↗ · 2020 · Yahoodik, Sarah et al. · indexed
440. Rapid holistic perception and evasion of road hazards · 2019 · Wolfe, Benjamin et al. · archived
441. The effects of various auditory takeover requests: A simulated driving study considering the modality of non-driving-related tasks ↗ · 2024 · Chai, Chunlei et al. · indexed
442. An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems ↗ · 2023 · Liang, Nade et al. · indexed
443. Design of Conditional Driving Automation Variables to Improve Takeover Performance ↗ · 2019 · Tanshi, Foghor et al. · indexed
444. Computer Training Program Improves Teen Drivers’ Attention to the Road [Traffic Tech] · 2011 · NHTSA · archived
445. Response times in drivers' gap acceptance decisions during overtaking · 2023 · Abbink, David A. · archived
446. Repeated conditionally automated driving on the road: How do drivers leave the loop over time? ↗ · 2023 · Dillmann, J. et al. · indexed
447. On the selection of stimulus for the auditory variant of the detection response task method for driving experiments ↗ · 2017 · Stojmenova, Kristina et al. · indexed
448. Bench-Marking Drivers' Visual and Cognitive Demands: A Feasibility Study ↗ · 2015 · Zhang, Yu et al. · indexed
449. An investigation of train driver visual strategies ↗ · 2005 · Luke, T. et al. · indexed
450. Exploring the impact of display types of information about autonomous driving in semi-autonomous vehicles on drivers’ situation awareness and take-over performance under different driving scenarios · 2025 · Zhou, Chengmin et al. · archived
451. The monitoring requests on young driver’s fatigue and take-over performance in prolonged conditional automated driving ↗ · 2023 · Yin, Juan et al. · indexed
452. Evaluation of techniques for ocular measurement as an index of fatigue and as the basis for alertness management · 1998 · Dinges, David F. et al. · archived
453. A TECHNOLOGY TO MEASURE MULTIPLE DRIVING BEHAVIORS WITHOUT SELF‐REPORT OR PARTICIPANT REACTIVITY ↗ · 2001 · Boyce, Thomas E. et al. · indexed
454. The Effects of Lead Time of Take-Over Request and Nondriving Tasks on Taking-Over Control of Automated Vehicles ↗ · 2018 · Wan, Jingyan et al. · indexed
455. The Paradox of Driving-Related Distraction: Driver Monitoring Systems Trigger Warnings During Overtaking Maneuvers ↗ · 2024 · Koniakowsky, Ina Marie et al. · indexed
456. Study on Test Method for Takeover Time of L3 Automatic Vehicles ↗ · 2020 · Shi, Juan et al. · indexed
457. Detection of driver distraction based on temporal relationship between eye-gaze and peripheral vehicle behavior ↗ · 2012 · Hirayama, Takatsugu et al. · indexed
458. Quantifying Driver Response Times Based upon Research and Real Life Data ↗ · 2005 · Muttart, Jeffrey W · indexed
459. Data processing procedures for identifying driver/vehicle properties associated with the control of headway ↗ · 2002 · Fancher, P. et al. · indexed
460. Drivers have constrained cognitive resources under cognitive and visual distraction: Safety implications for transitions of control from vehicle automation ↗ · 2026 · Gonçalves, Rafael C. et al. · indexed
461. Modeling Driver Situational Awareness in Takeover Scenarios Using Multimodal Data and Machine Learning ↗ · 2025 · Jia, Lesong et al. · indexed
462. Inferring Takeover in SAE Level 2 Automated Vehicles Using Driver-Based Behavioral and Psychophysiological Signals ↗ · 2022 · Konishi, Matthew et al. · indexed
463. Measuring Driver Perception: Combining Eye-Tracking and Automated Road Scene Perception ↗ · 2020 · Stapel, Jork et al. · indexed
464. The effects of brief visual interruption tasks on drivers’ ability to resume their visual search for a pre-cued hazard ↗ · 2016 · Borowsky, Avinoam et al. · indexed
465. Driving context and visual-manual phone tasks influence glance behavior in naturalistic driving ↗ · 2014 · Tivesten, Emma et al. · indexed
466. Driver Glance Behavior Modeling Based on Semi-Supervised Clustering and Piecewise Aggregate Representation ↗ · 2022 · Huang, Jianling et al. · indexed
467. Toward Integrated Takeover Performance Measurement: Validation of Fréchet Distance as a Takeover Performance Metric ↗ · 2024 · Han, Doo Won et al. · indexed
468. Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
469. Impact of Secondary Task Immersion Duration on Take-Over Process of Conditional (L3) Automated Vehicles in an Off-Ramp Area ↗ · 2022 · Li, Haijian et al. · indexed
470. DRIVER DISTRACTION MEASUREMENT IN REAL ROAD TRAFFIC ENVIRONMENTS: AN INSTRUMENTED VEHICLE STUDY ↗ · 2020 · Mohd Siam, Mohd Firdaus et al. · indexed
471. Driver Risk Perception Assessment in Autonomous Takeover Scenarios Under NDRTs Immersion Based on WOA-LightGBM ↗ · 2026 · Duan, Min et al. · indexed
472. Perception analysis of highway quality of service using a driving simulator and eye tracking system ↗ · 2020 · De Campos, Cintia Isabel et al. · indexed
473. Influence of Driver’s Career and Secondary Cognitive Task on Visual Search Behavior in Driving: A Dual-Task Paradigm · 2015 · Lee, Hye-In et al. · archived
474. Preliminary analysis of full-scale driving simulator data for unmasked sleepiness detection ↗ · 2014 · Yang, Ji Hyun et al. · indexed
475. XR-OOM: MiXed Reality driving simulation with real cars for research and design ↗ · 2022 · Goedicke, David et al. · indexed
476. Impact of information-assisted modalities and levels on driver takeover performance in conditional automated driving ↗ · 2025 · Yu, Zhenhua et al. · indexed
477. Improving take-over quality in automated driving by interrupting non-driving tasks ↗ · 2019 · Köhn, Thomas et al. · indexed
478. A Validation of Subsidiary Reaction Time Against Detection of Roadside Obstacles during Prolonged Driving∗ ↗ · 1978 · LAURELL, H. et al. · indexed
479. Quantitative Analysis of Eye-Tracking Data Based on Information-Theoretic Tools for Measuring Driver Drowsiness ↗ · 2024 · Zhu, Yueming et al. · indexed
480. Non-driving related tasks’ effects on takeover and manual driving behavior in a real driving setting: A differentiation approach based on task switching and modality shifting ↗ · 2022 · Shi, Elisabeth et al. · indexed
481. How Long Can a Driver Look? Exploring Time Thresholds to Evaluate Head-up Display Imagery ↗ · 2020 · Hannah Topliss, Bethan et al. · indexed
482. Driver Behavior in Conditional Automation: Comparison of Driving Simulator and Wizard of Oz Conditions ↗ · 2020 · Poisson, Céline et al. · indexed
483. Patterns of Sequential Off-Road Glances Indicate Levels of Distraction in Automated Driving ↗ · 2019 · Yang, Shiyan et al. · indexed
484. A Systematic Literature Review on the Effects of Non-Driving Tasks on the Takeover Process in Highly Automated Driving ↗ · 2023 · Yoon, Sol-Hee et al. · indexed
485. Review of Eye-related Measures of Drivers’ Mental Workload ↗ · 2015 · Marquart, Gerhard et al. · indexed
486. An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving ↗ · 2023 · Deng, Min et al. · indexed
487. The Impact of Non-Driving Related Task Types on Takeover Performance: A Simulated Driving Study Considering Multimodal Warning Systems ↗ · 2024 · Bai, Yuxin et al. · indexed
488. Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking ↗ · 2020 · Hofbauer, Markus et al. · indexed
489. Driver Drowsiness Detection Using Subsidiary Task and Driving Performance Measures ↗ · 1986 · Hardee, H. Lenora et al. · indexed
490. Attentional warnings caused by driver monitoring systems: How often do they appear and how well are they understood? ↗ · 2024 · Forster, Yannick et al. · indexed
491. A Study on Visual Driving Simulator for Analyzing Perception Characteristics of a Driver ↗ · 2018 · Takahashi, Hiroshi et al. · indexed
492. A behavioral inoculation method to improve critical takeover performance of novice drivers in conditionally automated driving ↗ · 2025 · Chai, Chen et al. · indexed
493. A Computational Cognitive Model of Driver Response Time for Scheduled Freeway Exiting Takeovers in Conditionally Automated Vehicles ↗ · 2022 · Tan, Xiaomei et al. · indexed
494. Unlocking Safer Driving: How Answering Questions Help Takeovers in Partially Automated Driving ↗ · 2023 · Bai, Xiaolu et al. · indexed
495. Identifying the Out Of The Loop phenomenon during driving automation using spontaneous gaze behavior ↗ · 2022 · Chouchane, Hanna et al. · indexed
496. Drivers’ Attention Strategies before Eyes-off-Road in Different Traffic Scenarios: Adaptation and Anticipation ↗ · 2021 · Liu, Zhuofan et al. · indexed
497. Overall effects of non-driving related activities’ characteristics on takeover performance in the context of SAE Level 3: A meta-analysis · 2022 · Shi, Elisabeth et al. · archived
498. Automated Driving: Interactive Automation Control System to Enhance Situational Awareness in Conditional Automation · 2018 · Olaverri-Monreal, Cristina et al. · archived
499. Situation Awareness Measurement in Remotely Controlled Cars ↗ · 2021 · Linkov, Václav et al. · indexed
500. Modeling takeover time based on non-driving-related task attributes in highly automated driving ↗ · 2021 · Yoon, Sol Hee et al. · indexed
501. Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat ↗ · 2017 · Petermeijer, S.M. et al. · indexed
502. A Driver Behavior Monitoring System for Sustainable Traffic and Road Construction ↗ · 2023 · Sappl, Hannes et al. · indexed
503. Visual Scanning Training for Older Drivers [Traffic Tech] · 2022 · Staplin, L. et al. · archived
504. Vibrotactile Take-over Requests in Highly Automated Driving ↗ · 2020 · Chu, Duanfeng et al. · indexed
505. A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups ↗ · 2012 · Reimer, Bryan et al. · indexed
506. Age-related differences in the cognitive, visual, and temporal demands of in-vehicle information systems · 2020 · Cooper, JM et al. · archived
507. Olfactory Facilitation of Takeover Performance in Highly Automated Driving ↗ · 2020 · Tang, Qiuyang et al. · indexed
508. How do obstacle characteristics and driver alertness affect the takeover process in conditionally automated driving? ↗ · 2025 · Li, Penghui et al. · indexed
509. Analysis of objective eye tracking data used for vehicle assessment ↗ · 2023 · Novotný, Jan · indexed
510. The concept of “presence” as a measure of ecological validity in driving simulators · 2015 · Deniaud, Christophe et al. · archived
511. The Effects of Momentary Visual Disruption on Hazard Anticipation in Driving ↗ · 2013 · Borowsky, Avinoam et al. · indexed
512. Ready for Take-Over? A New Driver Assistance System for an Automated Classification of Driver Take-Over Readiness ↗ · 2017 · Braunagel, Christian et al. · indexed
513. Measuring driver awareness based on correlation between gaze behavior and risks of surrounding vehicles ↗ · 2012 · Mori, Masataka et al. · indexed
514. Ready to Transition? Strategies to Bring Drivers Back into the Loop Upon Requests to Intervene in Conditionally Automated Driving ↗ · 2024 · Heinrich, Luisa Katharina et al. · indexed
515. Multimodal Cue Combinations: A Possible Approach to Designing In-Vehicle Takeover Requests for Semi-autonomous Driving ↗ · 2019 · Huang, Gaojian et al. · indexed
516. Evaluation of peripheral vision displays to support driver’s situation awareness in automated driving takeover ↗ · 2025 · Li, Jue et al. · indexed
517. Measuring Distraction: Task Duration and the Lane-Change Test (LCT) ↗ · 2005 · Burns, Peter C. et al. · indexed
518. Proactive Evaluation of Traffic Signs Using a Traffic Sign Simulator · 2015 · De Ceunynck, Tim et al. · archived
519. Effects of Long-Lead Monitoring Requests on Driver Trust, Forward Gaze Rate, and Takeover Performance in Level 3 Automated Driving ↗ · 2026 · Akahoshi, Sakura et al. · indexed
520. Should the Urgency of Visual-Tactile Takeover Requests Match the Criticality of Takeover Situations? ↗ · 2020 · Roche, Fabienne et al. · indexed
521. Multiple Measures of Driver Workload according to Takeover Request Lead Time in Conditionally Autonomous Driving ↗ · 2020 · Yun, Yong Deok et al. · indexed
522. Effects of Cognitive Tasks on Drivers' Eye Behavior and Performance ↗ · 2003 · Zheng, Xianjun Sam et al. · indexed
523. Safety Compensation for Improving Driver Takeover Performance in Conditionally Automated Driving · 2020 · Yao, Hua et al. · archived
524. Automatic Test Method of Driver Monitoring System (DMS) Based on Video Injection ↗ · 2026 · Wang, Fengjiao et al. · indexed
525. Ready to transition? Strategies to bring drivers back into the loop upon requests to intervene in conditionally automated driving ↗ · 2025 · Heinrich, Luisa Katharina et al. · indexed
526. Distraction effects of navigation and green-driving systems – results from field operational tests (FOTs) in the UK ↗ · 2015 · Morris, Andrew et al. · indexed
527. Situational Awareness and Time to Takeover: Exploring an Alternative Method to Measure Engagement with High-Level Automation ↗ · 2017 · Clark, Hallie et al. · indexed
528. Beyond Breathalyzers: Towards Pre-Driving Sobriety Testing with a Driver Monitoring Camera · 2025 · Stent, Simon et al. · archived
529. Influence of conventional driving habits on takeover performance in joystick-controlled autonomous vehicles: A low-speed field experiment ↗ · 2024 · He, Shijian et al. · indexed
530. Were they in the loop during automated driving? Links between visual attention and crash potential · 2017 · Louw, Tyron et al. · archived
531. The Attentional Costs of Interrupting Task Performance at Various Stages ↗ · 2002 · Monk, Christopher A. et al. · indexed
532. Standard operation procedures for conducting the on-the-road driving test, and measurement of the standard deviation of lateral position (SDLP) · 2011 · Verster, Joris C. et al. · archived
533. Similarity may be safer: the effect of similarity between Speech-based takeover request style and driver personality on self-driving takeover performance · 2025 · Ma, Keer et al. · archived
534. Predicting Driver’s Transition Time to a Secondary Task Given an in-Vehicle Alert ↗ · 2022 · Hwang, Steven et al. · indexed
535. Using Glance Behaviour to Inform the Design of Adaptive HMI for Partially Automated Vehicles ↗ · 2022 · Ulahannan, Arun et al. · indexed
536. Using Eye-Tracking Technology to Compare Hazard Detection on the Road Versus a Driving Simulator at Night Across Two Age Groups ↗ · 2020 · Leonardo, Juliette et al. · indexed
537. Towards online detection of driver distraction: Eye-movement simulation based on a combination of vestibulo–ocular reflex and optokinetic reflex models ↗ · 2019 · Le, Anh Son et al. · indexed
538. Need for Revised Total Eyes-Off-Road Criterion in the NHTSA Distraction Guidelines: Track Radio-Tuning Data ↗ · 2015 · Young, Richard A · indexed
539. Evaluating distraction of in-vehicle information systems while driving by predicting total eyes-off-road times with keystroke level modeling ↗ · 2017 · Purucker, Christian et al. · indexed
540. The effects of using a portable music player on simulated driving performance and task-sharing strategies ↗ · 2012 · Young, Kristie L. et al. · indexed
541. The Impact of Autonomous Driving Takeover Assistance Information Design on Driver Takeover Performance and Situational Awareness · 2024 · Xie, Lintong et al. · archived
542. European NCAP Driver State Monitoring Protocols: Prevalence of Distraction in Naturalistic Driving ↗ · 2023 · Mulhall, Megan et al. · indexed
543. Cognitive Distraction Detection Using Gaze and Pupil with an Interpretable Approach · 2025 · Tamura, Kimimasa et al. · archived
544. Cardiac Measures of Driver Workload during Simulated Driving with and without Visual Occlusion ↗ · 2003 · Backs, Richard W et al. · indexed
545. In-Vehicle Information Systems Demand Model (Research Update) · 2000 · Dingus, Tom et al. · archived
546. Devil in the details: Systematic review of TOR signals in automated driving with a generic classification framework ↗ · 2022 · Jansen, Reinier J. et al. · indexed
547. Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation ↗ · 2010 · Perez, Antonio et al. · indexed
548. Recognition method of driver's visual distraction based on pupil diameter ↗ · 2018 · Guo, Weiwei et al. · indexed
549. Evaluating driver distraction countermeasures ↗ · 2005 · Karlsson, Rikard · indexed
550. Three Navigation Systems With Three Tasks: Using the Lane-Change Test (LCT) to Assess Distraction Demand ↗ · 2009 · Harbluk, Joanne L et al. · indexed
551. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines ↗ · 2007 · Liang, Yulan et al. · indexed
552. Drivers’ situational awareness of surrounding vehicles during takeovers: Evidence from a driving simulator study ↗ · 2024 · Jia, Lesong et al. · indexed
553. Modelling the Dynamics of Situation Awareness Recovery: The Impact of Graded Warning Strategies in Automated Driving Takeovers ↗ · 2026 · Ding, Yaonan et al. · indexed
554. Which accuracy levels of positioning technologies do drivers really need in connected vehicle settings for safety? · 2021 · Du, Na et al. · archived
555. Looking at the Road When Driving Around Bends: Influence of Vehicle Automation and Speed · 2019 · Schnebelen, Damien et al. · archived
556. Visual in-car warnings: How fast do drivers respond? · 2018 · van der Heiden, Remo M.A. et al. · archived
557. The Effects of Non-Driving-Related Task Engagement on Automated Driving Takeover Performance During the Nighttime ↗ · 2022 · Liang, Nade et al. · indexed
558. Processing of Eye/Head-Tracking Data in Large-Scale Naturalistic Driving Data Sets ↗ · 2012 · Ahlstrom, Christer et al. · indexed
559. Effects of an active visuomotor steering task on covert attention · 2019 · Tuhkanen, Samuel et al. · archived
560. Multimodal Approach for Inattentive Driver Detection ↗ · 2019 · Al-Naimi, Ibrahim et al. · indexed
561. Driving simulator validation studies: A systematic review ↗ · 2024 · Zhang, Siyang et al. · indexed
562. Drivers’ gaze patterns when resuming control with a head-up-display: Effects of automation level and time budget ↗ · 2023 · Xu, Chengliang et al. · indexed
563. How do drivers mitigate the effects of naturalistic visual complexity? · 2023 · Suchan, Jakob · archived
564. Investigating the Influence of Takeover Request Warning Methods on Driver Tension in Level 3 Automated Driving · 2025 · Fukuzawa, Taiga et al. · archived
565. Refining two-stage transition procedures for planned transitions in conditionally automated driving ↗ · 2024 · Hasegawa, Kunihiro et al. · indexed
566. Enhancing situational awareness in highly automated vehicles through driver monitoring ↗ · 2019 · Kashef, Omeed et al. · indexed
567. Estimating Compliance with the 15-Second Rule for Driver-Interface Usability and Safety ↗ · 1999 · Green, Paul · indexed
568. The Impact of Mental States, Scenarios, and Modalities on Informative Takeover Requests in Automated Driving ↗ · 2025 · Lo, Wei-Hsiang et al. · indexed
569. Effects of In-Vehicle Touchscreen Location on Driver Task Performance, Eye Gaze Behavior, and Workload During Conditionally Automated Driving: Nondriving-Related Task and Take-Over ↗ · 2024 · Ban, Gayoung et al. · indexed
570. Driver Situation Awareness for Regaining Control from Conditionally Automated Vehicles: A Systematic Review of Empirical Studies ↗ · 2024 · Tan, Xiaomei et al. · indexed
571. Takeover performance of older drivers in automated driving: A review · 2022 · Gasne, C. et al. · archived
572. Takeover requests for automated driving: The effects of signal direction, lead time, and modality on takeover performance ↗ · 2022 · Huang, Gaojian et al. · indexed
573. Effects of saccadic and scent stimulations on driver attentiveness in automated driving systems ↗ · 2023 · HIROSE, Toshiya et al. · indexed
574. Readiness Estimation for a Take-Over Request in Automated Driving on an Expressway ↗ · 2022 · Suzuki, Ryohei et al. · indexed
575. The Effect of Stimulus Modality on Signal Detection: Implications for Assessing the Safety of In-Vehicle Technology ↗ · 2008 · Merat, Natasha et al. · indexed
576. Multimodal interaction strategies for take-over requests in L3 automated driving ↗ · 2024 · He, Banben et al. · indexed
577. Automated Driving Systems: Impact of Haptic Guidance on Driving Performance after a Take Over Request ↗ · 2022 · Morales-Alvarez, Walter et al. · indexed
578. Study on the Driver Visual Workload in High-Density Interchange-Merging Areas Based on a Field Driving Test ↗ · 2024 · Zhang, Yue et al. · indexed
579. Effects of dual-message tactile sliding takeover requests on takeover performance in an automated driving system ↗ · 2024 · Qiu, Zihao et al. · indexed
580. Head tracking based glance area estimation for driver behaviour modelling during lane change execution ↗ · 2014 · Pech, Timo et al. · indexed
581. Vehicle-Based Drowsy Driver Detection: Current Status and Future Prospects · 1994 · Knipling, Ronald R. et al. · archived
582. A gaze-based driver distraction countermeasure: Comparing effects of multimodal alerts on driver's behavior and visual attention ↗ · 2025 · Lachance-Tremblay, Jérémy et al. · indexed
583. Central Interference in Driving · 2006 · Levy, Jonathan et al. · archived
584. Video Test to Evaluate Detection Performance of Drivers with Hemianopia: Preliminary Results ↗ · 2013 · Bowers, Alex R et al. · indexed
585. Takeover Request Design in Automated Driving: A Systematic Review ↗ · 2021 · Salubre, Kevin Joel et al. · indexed
586. Evaluating the Visual Demand of In-Vehicle Information Systems ↗ · 2011 · Irune, Ainojie Alexander · indexed
587. Opportunities and Limitations of a Gaze-Contingent Display to Simulate Visual Field Loss in Driving Simulator Studies ↗ · 2022 · Biebl, Bianca et al. · indexed
588. Takeover Transition in Autonomous Vehicles: A YouTube Study · 2019 · Zhou, Feng et al. · archived
589. Factors Affecting Glance Behavior when Interacting with In-Vehicle Devices: Implications from a Simulator Study ↗ · 2013 · Peng, Yiyun et al. · indexed
590. The Effects of Augmented Reality Head-Up Display Graphics on Driver Situation Awareness and Takeover Performance in Driving Automation Systems ↗ · 2022 · Greatbatch, Richard L et al. · indexed
591. Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles ↗ · 2020 · Lee, Seul Chan et al. · indexed
592. Predicting the duration of reduced driver performance during the automated driving takeover process ↗ · 2024 · Wang, Changshuai et al. · indexed
593. Vehicle-Based Drowsy Driver Detection: Current Status And Future Prospects · 1994 · NHTSA · archived
594. Understanding take-over performance of high crash risk drivers during conditionally automated driving ↗ · 2020 · Lin, Qingfeng et al. · indexed
595. Validation of a Driving Simulation Facility for Instrument Panel Task Performance ↗ · 1990 · Kurokawa, Ko et al. · indexed
596. Memory for a Hazard is Interrupted by Performance of a Secondary In-Vehicle Task ↗ · 2014 · Borowsky, Avinoam et al. · indexed
597. A novel study on subjective driver readiness in terms of non-driving related tasks and take-over performance ↗ · 2022 · Kim, Jungsook et al. · indexed
598. A Task-Analytic Approach for Estimating Driver Task Demands on Specific Roadway Sections ↗ · 2012 · Lichty, Monica G. et al. · indexed
599. How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving ↗ · 2012 · Liang, Yulan et al. · indexed
600. Threat-cued or action-cued? Effects of attention guidance strategy on decision-support in automated driving under complex takeover situations ↗ · 2026 · Dou, Jinzhen et al. · indexed
601. An on-road assessment of cognitive distraction: Impacts on drivers’ visual behavior and braking performance ↗ · 2006 · Harbluk, Joanne L. et al. · indexed
602. Effects of Quantity and Size of Buttons of In-Vehicle Touch Screen on Drivers’ Eye Glance Behavior ↗ · 2017 · Feng, Fred et al. · indexed
603. Feasibility of Measuring Eye Movements in Real-World and Simulated Driving Situations ↗ · 1966 · Williamson, Thomas R. et al. · indexed
604. Context-Sensitive Auditory Takeover Warning Under Weather and Scenario Demands: A Driving-Simulator Study with Eye-Tracking Evidence ↗ · 2026 · Zhou, Hongmei et al. · indexed
605. The fundamentals of eye tracking part 2: From research question to operationalization ↗ · 2025 · Hooge, Ignace T. C. et al. · indexed
606. The interactive effects of NDRT cognitive complexity and traffic density on takeover performance in level 3 automated driving: a multimodal EEG and behavioral study ↗ · 2026 · Guo, Qi et al. · indexed
607. A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving ↗ · 2025 · Wu, Haoran et al. · indexed
608. Examining Driver Situation Awareness in the Takeover Process of Conditionally Automated Driving With the Effect of Age ↗ · 2024 · Ding, Wen et al. · indexed
609. Economical Visual Attention Test for Elderly Drivers · 2020 · Onishi, Akinari · archived
610. It’s Out of Our Hands Now! Effects of Non-Driving Related Tasks During Highly Automated Driving on Drivers’ Fatigue ↗ · 2017 · Jarosch, Oliver et al. · indexed
611. What You See is What You Get? Correspondence of Video and Interview Data on Secondary Task Engagement While Driving-A Naturalistic Driving Study ↗ · 2019 · Kreusslein, Maria et al. · indexed
612. The correlation between drivers’ road familiarity and glance behavior using real vehicle experimental data and mathematical models ↗ · 2024 · Huang, Jing et al. · indexed
613. Research on the Influence Law of Driving Experience on Drivers’ Gaze Behavior ↗ · 2019 · Ji, Bingkui et al. · indexed
614. Efficient PERCLOS and Gaze Measurement Methodologies to Estimate Driver Attention in Real Time ↗ · 2014 · Darshana, Sanka et al. · indexed
615. Continuous-time feedback device to enhance situation awareness during take-over requests in automated driving conditions ↗ · 2022 · Gomes, Guilherme Daniel et al. · indexed
616. Investigating the Influence of Working Memory Processes on the Box Task combined with a Detection Response Task · 2022 · Trommler, Daniel et al. · archived
617. Study of road safety from the position of driver information load ↗ · 2024 · Pugachev, I. N. et al. · indexed
618. Driver Hazard Detection and Avoidance Performance as a Function of Eyes-Off-Road Interval Under Partially Automated Driving ↗ · 2017 · Glaser, Yi et al. · indexed
619. Die Evaluation von Fahrerinformationssystemen mit dem ”Lane Change Test“: Ergänzungen zum Normenentwurf ISO/DIS 26022Evaluating Driver Information Systems Using the “Lane Change Test”: Extensions to the Draft International Standard ISO/DIS 26022 ↗ · 2009 · Vöhringer-Kuhnt, Thomas · indexed
620. Experimental analysis of human control characteristics on driving tasks based on gaze measurement data ↗ · 2007 · Satoshi Suzuki et al. · indexed
621. A simulator evaluation of the effects of attention maintenance training on glance distributions of younger novice drivers inside and outside the vehicle ↗ · 2013 · Divekar, Gautam et al. · indexed
622. Evaluating Effects of Urgent Takeover Requests on Driver Stress through Galvanic Skin Response Analysis ↗ · 2022 · Yin, Weiru et al. · indexed
623. New Measure of Inattentiveness to Forward Roadway ↗ · 2012 · Pollatsek, Alexander et al. · indexed
624. Overview of research on driver drowsiness definition and driver drowsiness detection ↗ · 1995 · Wierwille, Walter W. · indexed
625. Overview of research on driver drowsiness definition and driver drowsiness detection ↗ · 1995 · Wierwille, Walter W. · indexed
626. Identifying novice drivers in need of hazard perception ability improvement for takeover performance ↗ · 2024 · Weng, Shixuan et al. · indexed
627. Comparative experiment of attention prompting methods using VR driving simulator ↗ · 2022 · Liang, Jinwei et al. · indexed
628. Take-over again: Investigating multimodal and directional TORs to get the driver back into the loop ↗ · 2017 · Petermeijer, Sebastiaan et al. · indexed
629. The Effect of AR-HUD Takeover Assistance Types on Driver Situation Awareness in Highly Automated Driving: A 360-Degree Panorama Experiment ↗ · 2023 · Wu, Zhendong et al. · indexed
630. Takeover Directly or Gradually? Comparison of Single Stage and Dual Stage Human-Machine Interface on Drivers’ Visual Behaviors and Subjective Ratings over Cognitive Demand, Motoric Demand, and Time Demand ↗ · 2022 · Liu, Weimin et al. · indexed
631. Driver Inattention Detection based on Eye Gaze—Road Event Correlation ↗ · 2009 · Fletcher, Luke et al. · indexed
632. Revisiting Radio Tuning: A Secondary Analysis Comparing Glance Behavior Across Five Vehicles ↗ · 2017 · McWilliams, Thomas et al. · indexed
633. From reading to driving ↗ · 2018 · Borojeni, Shadan Sadeghian et al. · indexed
634. Driver Takeover Performance and Monitoring Behavior with Driving Automation at System-Limit versus System-Malfunction Failures · 2020 · DeGuzman, Chelsea A. et al. · archived
635. The effects of commercial electronic variable message signs (CEVMS) on driver attention and distraction : an update · 2009 · Molino, John A. et al. · archived
636. Risk Awareness and Perception Training Using VR Headsets: The Validation of VR Headsets to Measure Hazard Anticipation Behaviors · 2019 · Fitzpatrick, Cole et al. · archived
637. Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-car data ↗ · 2017 · Seppelt, Bobbie et al. · indexed
638. Take-Over Time: A Cross-Cultural Study of Take-Over Responses in Highly Automated Driving ↗ · 2021 · Strle, Gregor et al. · indexed
639. Inattentional Blindness While Driving ↗ · 2003 · Wood, Chip et al. · indexed
640. Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator ↗ · 2020 · González-Ortega, David et al. · indexed
641. On-Road Evaluation of In-vehicle Interface Characteristics and Their Effects on Performance of Visual Detection on the Road and Manual Entry · 2018 · Suh, Youngbo et al. · archived
642. Authoring critical situations for assessing driving ability among drivers with visual field defects ↗ · 2015 · Peters, Björn et al. · indexed
643. Assessment of Driver Situation for Control Authority Transition from Conditionally Automated Vehicles using Chassis and Galvanic Skin Response Sensors ↗ · 2025 · Dogan, Daghan et al. · indexed
644. Task-specific versus free-choice non-driving-related tasks: Enhancing automated driving takeover research through varied task engagement ↗ · 2025 · Wang, Wenjun et al. · indexed
645. Applying data visualisation for a rapid overview and comparison of HFE measures to evaluate in-vehicle interfaces ↗ · 2016 · Geitner, Claudia et al. · indexed
646. Constructing the behavioral sequence of the takeover process—TOR, behavior characteristics and phases division: A real vehicle experiment ↗ · 2023 · Yu, Zhenhua et al. · indexed
647. Investigating and Developing Methods for Traditional Participant-based Data Collection with Remote Experimenters · 2023 · Miller, Marty · archived
648. Using Markov Chains to Understand the Sequence of Drivers' Gaze Transitions During Lane-Changes in Automated Driving ↗ · 2019 · Gonçalves, Rafael et al. · indexed
649. PREDICTOR: A tool to predict the timing of the take-over response process in semi-automated driving ↗ · 2024 · Janssen, Christian P. et al. · indexed
650. An Assessment of Behavioral Tests to Detect Impaired Drivers · 1981 · Snapper, K. J. (Kurt J.) et al. · archived
651. Optic Flow and Tunnel Vision in the Detection Response Task ↗ · 2019 · van Winsum, Wim · indexed
652. Age-related effects of executive function on takeover performance in automated driving · 2022 · Peng, Qijia et al. · archived
653. Impact of non-driving related task types, request modalities, and automation on driver takeover: A meta-analysis ↗ · 2025 · Jin, Lisheng et al. · indexed
654. A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior ↗ · 2013 · Ahlstrom, Christer et al. · indexed
655. How visual information influences dual-task driving and tracking · 2020 · Broeker, Laura et al. · archived
656. Using a Driving Simulator to Create a Visual Search Test for Drivers with Parkinson's Disease ↗ · 2019 · Devos, Hannes et al. · indexed
657. Detection and controlling of drivers' visual focus of attention ↗ · 2017 · Debnath, Partha Pratim et al. · indexed
658. Isolating the Effect of Off-Road Glance Duration on Driving Performance: An Exemplar Study Comparing HDD and HUD in Different Driving Scenarios ↗ · 2021 · Smith, Missie et al. · indexed
659. Information Fusion for Driver Distraction Studies Using Eye Tracking Glasses ↗ · 2021 · Paletta, Lucas et al. · indexed
660. Engagement in Non-Driving Related Tasks as a Non-Intrusive Measure for Mode Awareness: A Simulator Study ↗ · 2020 · Forster, Yannick et al. · indexed
661. Age-Related Differences in Vehicle Control and Eye Movement Patterns at Intersections: Older and Middle-Aged Drivers · 2016 · Yamani, Yusuke et al. · archived
662. Situation Awareness in Remote Operators of Autonomous Vehicles: Developing a Taxonomy of Situation Awareness in Video-Relays of Driving Scenes · 2021 · Mutzenich, Clare et al. · archived
663. Gaze guidance reduces the number of collisions with pedestrians in a driving simulator ↗ · 2012 · Pomarjanschi, Laura et al. · indexed
664. RISEE: A Highly Interactive Naturalistic Driving Trajectories Dataset with Human Subjective Risk Perception and Eye-tracking Information ↗ · 2025 · Wu, Xinzheng et al. · indexed
665. Exploring the Use of XR Interfaces for Driver Assistance in Take Over Request ↗ · 2022 · Mukhopadhyay, Abhishek et al. · indexed
666. Visual and Cognitive Demands of Using In-Vehicle Information Systems · 2017 · AAA Foundation for Traffic Safety et al. · archived
667. The Alabama VIP older driver study rationale and design: examining the relationship between vision impairment and driving using naturalistic driving techniques ↗ · 2018 · Owsley, Cynthia et al. · indexed
668. A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures ↗ · 2024 · Kolus, Ahmet · indexed
669. Can variations in visual behavior measures be good predictors of driver sleepiness? A real driving test study ↗ · 2017 · Wang, Yonggang et al. · indexed
670. Latencies in Vehicle Steering: It is Possible to Measure Drivers’ Response Latencies and Attention Unobtrusively on the Road ↗ · 1981 · Summala, H. · indexed
671. Is driving experience all that matters? Drivers’ takeover performance in conditionally automated driving ↗ · 2023 · Zhang, Neng et al. · indexed
672. Developing Driving Task Scenarios for Developmentally Tailored Driving Assessments: Using an Evidence-Centered Design Model ↗ · 2011 · Roelofs, Erik et al. · indexed
673. Study on Driver’s Preview Distance Based on Driving Simulator Tests ↗ · 2023 · Gobbi, Massimiliano et al. · indexed
674. Drivers’ Individual Design Preferences of Takeover Requests in Highly Automated Driving ↗ · 2019 · Brandenburg, Stefan et al. · indexed
675. Road-to-Lab: Validation of the Static Load Test for Predicting On-Road Driving Performance While Using Advanced In-Vehicle Information and Communication Devices ↗ · 2005 · Young, Richard et al. · indexed
676. Head-Up Displays and Distraction Potential · 2023 · Russell, Sheldon M. et al. · archived
677. Inattentional Blindness in a Simulated Driving Task ↗ · 2013 · Kennedy, Kellie D. et al. · indexed
678. Adaptations of drivers’ gaze behaviour during car-following as a function of vehicle automation, duration of use and prior driving experience · 2026 · Schnebelen, Damien et al. · archived
679. Interaction of oculomotor and manual behavior: evidence from simulated driving in an approach–avoidance steering task ↗ · 2019 · Schneider, Norbert et al. · indexed
680. The concept of driver takeover assessment in the vehicles with conditional automation ↗ · 2018 · Razin, Paula et al. · indexed
681. Video-based detection and analysis of driver distraction and inattention ↗ · 2014 · Yun, Yixiao et al. · indexed
682. Driver behavior and mental workload for takeover safety in automated driving: ACT-R prediction modeling approach ↗ · 2024 · Oh, Hyungseok et al. · indexed
683. Effects of Non-Driving Related Tasks During Self-Driving Mode ↗ · 2022 · Minhas, Saad et al. · indexed
684. Trends and Future Prospects of the Drowsiness Detection and Estimation Technology · 2021 · Arakawa, Toshiya · archived
685. Comparison of younger and older drivers’ glance behavior and performance in a driving simulator ↗ · 2012 · Son, Joonwoo et al. · indexed
686. Experiment Design for Measuring Driver Reaction Time in Driving Situation ↗ · 2013 · Zhang, Zhong et al. · indexed
687. ResNet50 Architecture and AttenD Algorithm-based Driver Distraction Detection Method ↗ · 2025 · Liu, Xiaoyang et al. · indexed
688. Expert-based controllability assessment of control transitions from automated to manual driving ↗ · 2018 · Naujoks, Frederik et al. · indexed
689. DashGaze: Driver Gaze Through Dashcam ↗ · 2025 · John, Thrupthi Ann et al. · indexed
690. The Driver Distraction Detection Algorithm AttenD ↗ · 2017 · Kircher, Katja et al. · indexed
691. A Dual-Cameras-Based Driver Gaze Mapping System With an Application on Non-Driving Activities Monitoring ↗ · 2020 · Yang, Lichao et al. · indexed
692. Eye Movement Detection for Assessing Driver Drowsiness by Electrooculography ↗ · 2013 · Ebrahim, Parisa et al. · indexed
693. Driver Visual Behavior in the Presence of Commercial Electronic Variable Message Signs (CEVMS) · 2011 · Perez, William A. et al. · archived
694. Evaluating Older Drivers&#039; Skills · 2013 · Chaudhary, Neil K. et al. · archived
695. Road dependent driver eye movements under real driving conditions by electrooculography ↗ · 2013 · Ebrahim, P. et al. · indexed
696. Real-Time System for Monitoring Driver Vigilance ↗ · 2006 · Bergasa, L.M. et al. · indexed
697. Surprise Braking Trials, Time-to-Collision Judgments, and “First Look” Maneuvers Under Realistic Rear-End Crash Scenarios · 2005 · Kiefer, R. J. et al. · archived
698. Situation awareness based on eye movements in relation to the task environment ↗ · 2018 · de Winter, J. C. F. et al. · indexed
699. Driving Simulation as a Performance-based Test of Visual Impairment in Glaucoma ↗ · 2012 · Medeiros, Felipe A. et al. · indexed
700. Assessing the Effects of Modalities of Takeover Request, Lead Time of Takeover Request, and Traffic Conditions on Takeover Performance in Conditionally Automated Driving ↗ · 2023 · Yang, Weida et al. · indexed
701. Methodology for in-the-Wild Driver Monitoring Dataset Formation ↗ · 2022 · Bulygin, Alexandr et al. · indexed
702. Multisensory Signal Detection: How Does Driving and IVIS Management Affect Performance? ↗ · 2007 · Merat, Natasha et al. · indexed
703. Age-Related Decrements in Automobile Instrument Panel Task Performance ↗ · 1989 · Hayes, Brian C. et al. · indexed
704. The Neuroscience of (Dis)Trust: Proactive Takeovers in Human–AV Interaction ↗ · 2026 · Zhang, Yinsu et al. · indexed
705. Investigating the Effect of Performing Voice Recognition Tasks on the Detection of Forward and Peripheral Events ↗ · 2004 · Schreiner, Christopher et al. · indexed
706. A method for predicting the risk of virtual crashes in a simulated driving task using behavioural and subjective drowsiness measures ↗ · 2016 · Murata, Atsuo et al. · indexed
707. Head and eye gaze dynamics during visual attention shifts in complex environments ↗ · 2012 · Doshi, A. et al. · indexed
708. Car Drivers' Pattern of Eye Fixations on the Road and in the Laboratory ↗ · 1981 · Cohen, Amos S. · indexed
709. The Effects of a Scheduled Driver Engagement Strategy in Automated Driving ↗ · 2015 · Blommer, Mike et al. · indexed
710. Mental Workload and Visual Impairment: Differences between Pupil, Blink, and Subjective Rating · 2008 · Recarte, Miguel Ángel et al. · archived
711. Research on Driving Takeover Methods for Human-Machine Co-Driving Intelligent Vehicles in Dangerous Traffic Situations ↗ · 2025 · Wu, Shaobin et al. · indexed
712. Age-Related Effects of Executive Function on Takeover Performance: A Simulator Study in Automated Driving · 2021 · Peng, Qijia et al. · archived
713. Please take over! An analysis and strategy for a driver take over request during autonomous driving ↗ · 2015 · Bahram, Mohammad et al. · indexed
714. Inference of large truck driver's intent to change lanes to pass a lead vehicle via analyses of driver's eye glance behavior in the real world ↗ · 2007 · Itoh, M. et al. · indexed
715. Test-Retest Reliability of Simulated Driving Performance: A Pilot Study ↗ · 2013 · Irwin, Christopher et al. · indexed
716. New, Improved, Comprehensive, and Automated Driver’s License Test and Vision Screening System · 2005 · Straus, Sandy H. · archived
717. The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles ↗ · 2022 · Tan, Xiaomei et al. · indexed
718. Safely and Effectively Communicating Non-Connected Vehicle Information to Connected Vehicles through Field- and Driving-Simulator-Based Research · 2019 · Noyce, David A. et al. · archived
719. A Driving Simulation Study Examining Destination Entry with iOS 5 Google Maps and a Garmin Portable GPS System ↗ · 2013 · Dopart, Celena et al. · indexed
720. Driver blink measurement by the motion picture processing and its application to drowsiness detection ↗ · 2003 · Ito, T. et al. · indexed
721. Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems · 2023 · Strayer, David L. · archived
722. Age-Related Differences in the Cognitive, Visual and Temporal Demands of In-Vehicle Information Systems · 2019 · AAA Foundation for Traffic Safety · archived
723. Driver Distraction through Conversation Measured with Pupillometry ↗ · 2013 · Dlugosch, Carsten et al. · indexed
724. Multitasking induced contextual blindness · 2025 · Cooper, JM et al. · archived
725. Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness ↗ · 2020 · Deo, Nachiket et al. · indexed
726. Reducing Older Driver Crashes: Technology, Training and Livable Communities · 2015 · Romoser, Matthew R. E. et al. · archived
727. 'To See or Not to See?' How Do Eye Movements Change Within Immersive Driving Environments ↗ · 2014 · Reich, Diana et al. · indexed
728. Detection of driver visual field narrowing ↗ · 2013 · Barby, K. et al. · indexed
729. Examining Driver Situation Awareness in the Takeover Process of Conditionally Automated Driving With the Effect of Age ↗ · 2024 · Ding, Wen et al. · indexed
730. Effects of scheduled manual driving on drowsiness and response to take over request: A simulator study towards understanding drivers in automated driving ↗ · 2019 · Wu, Yanbin et al. · indexed
731. Driver compliance to take-over requests with different auditory outputs in conditional automation ↗ · 2017 · Forster, Yannick et al. · indexed
732. Effects of non-driving related tasks on readiness to take over control in conditionally automated driving ↗ · 2021 · Lin, Qing-feng et al. · indexed
733. 2013–2014 National Roadside Study of Alcohol and Drug Use by Drivers: Methodology · 2016 · Kelley-Baker, Tara et al. · archived
734. Design of Gaze Evaluation System in Driving Using Eye Tracking and Object Detection ↗ · 2025 · Thakulla, Jagat et al. · indexed
735. Detection method for driver's gaze direction based on improved VGG network ↗ · 2023 · Wang, Haowen et al. · indexed
736. Visual Reaction Time: A Tool for Reducing Road Traffic Collisions and Driving Simulator. ↗ · 2021 · Rajdeep, Prashant et al. · indexed
737. Gaze-based Drowsiness Recognition for Level 3 Automated Driving: Designing Core Features and Temporal Windows ↗ · 2026 · Jang, Eun Hye et al. · indexed
738. Effects of alcohol intoxication goggles (fatal vision goggles) with a concurrent cognitive task on simulated driving performance · 2019 · Irwin, Christopher et al. · archived
739. Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control ↗ · 2017 · Eriksson, Alexander et al. · indexed
740. Investigating the Effect of a Visual Search Task for Simulator-Based Driver Training ↗ · 2013 · van Leeuwen, P M et al. · indexed
741. Effects of integrated takeover request warning with personal portable device on takeover time and post-takeover performance in level 3 driving automation ↗ · 2024 · Talukder, Niloy et al. · indexed
742. Relationship Between Driver Eyes-Off-Road Interval and Hazard Detection Performance Under Automated Driving ↗ · 2016 · Glaser, Yi G. et al. · indexed
743. Impact of Cognitive Task Complexity on Drivers’ Visual Tunneling ↗ · 2009 · Reimer, Bryan · indexed
744. A Systematic Review of Takeover System Design and Evaluation in Highly Automated Driving ↗ · 2025 · Liu, Tianrui et al. · indexed
745. VTD: Visual and Tactile Dataset for Driver State and Behavior Detection ↗ · 2025 · Wang, Jie et al. · indexed
746. Mind-Wandering and Driving: Comparing Thought Report and Individual Difference Measures · 2019 · Walker, Heather E K et al. · archived
747. Get ready for automated driving using Virtual Reality ↗ · 2018 · Sportillo, Daniele et al. · indexed
748. Visuospatial Workload Measurement of an Interface Based on a Dual Task of Visual Working Memory Test ↗ · 2016 · Miura, Takahiro et al. · indexed
749. Assessing the Impact of Age on Cognitively Induced Visual Tunneling · 2013 · Reimer, Bryan · archived
750. Driver Visual Behavior in the Presence of Commercial Electronic Variable Message Signs (CEVMS) · 2012 · Perez, William A. et al. · archived
751. Relationship Between Motor Vehicle Collisions and Results of Perimetry, Useful Field of View, and Driving Simulation in Drivers With Glaucoma ↗ · 2015 · Tatham, Andrew J. et al. · indexed
752. Standardized Test Procedure for External Human–Machine Interfaces of Automated Vehicles ↗ · 2020 · Kaß, Christina et al. · indexed
753. Drugs, driving, and models to measure driving impairment ↗ · 2009 · Owens, Katherine et al. · indexed
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755. Road user hazard perception tests: A systematic review of current methodologies ↗ · 2019 · Moran, Caroline et al. · indexed
756. Assessment of cognitive workload of in-vehicle systems using a visual peripheral and tactile detection task setting ↗ · 2012 · Bengler, Klaus et al. · indexed
757. Assessing drivers' response during automated driver support system failures with non-driving tasks ↗ · 2017 · Shen, Sijun et al. · indexed
758. Naturalistic driving data extraction and processing for studying driver head scanning behavior at intersections ↗ · 2026 · Pundlik, Shrinivas et al. · indexed
759. Designing Visual-auditory Attention-guiding Takeover Request for Semi-autonomous Driving ↗ · 2023 · Chen, Qingxin et al. · indexed
760. Exploring the Influence of Light and Cognitive Load on Pupil Diameter in Driving Simulator Studies · 2011 · Palinko, Oskar et al. · archived
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762. Design and Development of a Tactile Takeover Warning System Using a Tactile Seat for Automated Driving · 2025 · Shi, Jinlei et al. · archived
763. How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving ↗ · 2014 · Radlmayr, Jonas et al. · indexed
764. Effective measures for evaluating safe driving ability with a driving simulator and eye movement tracking ↗ · 2026 · Inoue, Takuya et al. · indexed
765. Driver's Hand Trajectory-Guided Takeover Intention Inference in Conditionally Automated Driving ↗ · 2025 · Zhu, Jieyu et al. · indexed
766. Automatic and manual driving paradigms: Cost-efficient mobile application for the assessment of driver inattentiveness and detection of road conditions ↗ · 2016 · Allamehzadeh, Arman et al. · indexed
767. DReye VR: Democratizing Virtual Reality Driving Simulation for Behavioural &amp; Interaction Research ↗ · 2022 · Silvera, Gustavo et al. · indexed
768. Gaze Behavior During Simulated Driving: Elements for a Visual Driving Aid ↗ · 2005 · Mestre, Daniel R et al. · indexed
769. Development of Performance Specifications for Collision Avoidance systems for Lane Change Crashes, Task 6, Interim Report: Testbed Systems Design and Associated Facilities · 2001 · Talmadge, S. et al. · archived
770. Driver Drowsiness Detection Using Eye Movement Behavior · 2025 · Biradar, Sonali et al. · archived
771. Practical aspects of measuring camera‐based indicators of alcohol intoxication in manual and automated driving ↗ · 2024 · Zemblys, Raimondas et al. · indexed
772. On-Road Study of Drivers’ Use of Rearview Video Systems (ORSDURVS) · 2008 · Mazzae, Elizabeth N. et al. · archived
773. How to Use Driving Simulators Properly: Impacts of Human Sensory and Perceptual Capabilities on Visual Fidelity ↗ · 2018 · Zhao, Xi et al. · indexed
774. It’s about time! Earlier take-over requests in automated driving enable safer responses to conflicts ↗ · 2022 · Pipkorn, Linda et al. · indexed
775. A temporal analysis of safety drivers taking back control in public roadway automated driving trials ↗ · 2019 · Corcoran, Nicole et al. · indexed
776. Driving Assessment Tools Used by Driver Rehabilitation Specialists: Survey of Use and Implications for Practice ↗ · 2013 · Dickerson, Anne E. · indexed
777. Research on the standard status and test methods of driver attention monitoring system ↗ · 2021 · Zhang, Jinchong et al. · indexed
778. Spare visual capacity and driver inattention in dynamic car following scenarios ↗ · 2024 · Kujala, Tuomo et al. · indexed
779. SEEV Modeler: A GUI-Based Tool for the SEEV Model Simulation ↗ · 2021 · Rheem, Hansol et al. · indexed
780. Influence of cognitively distracting activity on driver’s eye movement during preparation of changing lanes ↗ · 2008 · Zhou, Huiping et al. · indexed
781. Towards a complete human driver model: the effect of vision on driving performance ↗ · 2006 · Barton, J.E. et al. · indexed
782. Task analysis of intersection driving scenarios : information processing bottlenecks · 2006 · Richard, Christian M. et al. · archived
783. The validity of driving simulation for assessing differences between in-vehicle informational interfaces: A comparison with field testing ↗ · 2010 · Wang, Ying et al. · indexed
784. Emergency Takeover under Low Driving Experience: A Study on Driver Performance Analysis and Adaptive Behaviors ↗ · 2023 · Chen, Chen et al. · indexed
785. Drivers use active gaze to monitor waypoints during automated driving ↗ · 2020 · Mole, Callum et al. · indexed
786. Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera ↗ · 2017 · Schmidt, Jürgen et al. · indexed
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788. Effects of request-to-intervene message contents on driver performance and safety under conditionally automated driving system ↗ · 2020 · An, Suyang et al. · indexed
789. Heatmap-Based Method for Estimating Drivers’ Cognitive Distraction ↗ · 2020 · Musabini, Antonyo et al. · indexed
790. Designing take over scenarios for automated driving ↗ · 2014 · Lorenz, Lutz et al. · indexed
791. Simple gaze-contingent cues guide eye movements in a realistic driving simulator ↗ · 2013 · Pomarjanschi, Laura et al. · indexed
792. Methods in Cognitive Pupillometry: Design, Preprocessing, and Statistical Analysis ↗ · 2022 · Mathôt, Sebastiaan et al. · indexed
793. Discriminating cognitive processes with eye movements in a decision-making driving task. ↗ · 2014 · Lemonnier, Sophie et al. · indexed
794. Reported Order of Importance Does not Predict Fixation Order when Viewing Driving Scenes ↗ · 2020 · Diamond, Anastasia et al. · indexed
795. Assessing Driver Distraction From Unmanned Aerial Vehicles and Under‐Bridge Inspection Trucks: A Driving Simulator Study Using Eye Tracker and EEG ↗ · 2026 · Kusha, Zainab Afzali et al. · indexed
796. Effects of Driving Experience and Traffic Density on the Performance of Takeover in Autonomous Driving ↗ · 2025 · Dai, Xuelong et al. · indexed
797. Multimodal classification of driver glance ↗ · 2017 · Baumann, Daniel et al. · indexed
798. Vehicle-based drowsy driver detection: Current status and future prospects ↗ · 2013 · Knipling, R R et al. · indexed
799. Measuring the Applicability of Intersection-Based Older Driver Training Programs ↗ · 2020 · Schneider, Craig A. et al. · indexed
800. Takeover Requests Signaled by Arrows in an Automated Driving System: The Influence of Information Direction and Lead Time on Performance ↗ · 2025 · Qiu, Zihao et al. · indexed
801. Evaluating interactions with non-existing automated vehicles: three Wizard of Oz approaches ↗ · 2016 · Habibovic, A. et al. · indexed
802. Utilization of Drivetime – Performing Non-Driving Related Tasks While Driving Highly Automated ↗ · 2015 · Gold, Christian et al. · indexed
803. Comparing the responses and visual behaviors of older and younger drivers in car-to-cyclist collisions using a driving simulator · 2025 · Zhao, Yuqing et al. · archived
804. S.A.D.E.—A Standardized, Scenario-Based Method for the Real-Time Assessment of Driver Interaction with Partially Automated Driving Systems ↗ · 2022 · Schömig, Nadja et al. · indexed
805. Age-Related Differences in the Cognitive, Visual and Temporal Demands of In-Vehicle Information Systems · 2019 · Cooper, Joel M. et al. · archived
806. Workshop on Virtual Reality (VR) in Automated Vehicles: Developing and Evaluating Metrics to Assess VR in the Car ↗ · 2020 · Becerra, Zoe M et al. · indexed
807. The Effect of Tactile Prompts During the Takeover Process of Autonomous Driving · 2025 · Guo, Sijia et al. · archived
808. Eye gaze tracking based driver monitoring system ↗ · 2017 · Mavely, Annu George et al. · indexed
809. Aggregated mapping of driver attention from matched optical flow ↗ · 2014 · Perko, Roland et al. · indexed
810. Reading While Driving: A Study on Drivers’ Strategies of In-Vehicle Task Initiation ↗ · 2012 · Liang, Yulan et al. · indexed
811. Text a Bit Longer or Drive Now? Resuming Driving after Texting in Conditionally Automated Cars ↗ · 2024 · Ch, Nabil Al Nahin et al. · indexed
812. Effect of a looming visual cue on situation awareness and perceived urgency in response to a takeover request ↗ · 2024 · Park, YounJung et al. · indexed
813. The Effect of Augmented Reality Cues on Glance Behavior and Driver-Initiated Takeover on SAE Level 2 Automated-Driving ↗ · 2021 · de Oliveira Faria, Nayara et al. · indexed
814. On validating a generic camera-based blink detection system for cognitive load assessment · 2023 · Biondi, Francesco N. et al. · archived
815. A Study on the Gaze Range Calculation Method During an Actual Car Driving Using Eyeball Angle and Head Angle Information ↗ · 2019 · Sakurai, Keiko et al. · indexed
816. A Link Between Trust in Technology and Glance Allocation in On-Road Driving · 2017 · Geitner, Claudia et al. · archived
817. Relationships Between Older Drivers’ Cognitive Abilities as Assessed on the MoCA and Glance Patterns During Visual-Manual Radio Tuning While Driving ↗ · 2016 · Lee, Joonbum et al. · indexed
818. Driver fatigue discrimination method based on visual features ↗ · 2022 · Zhang, Shuwei et al. · indexed
819. The development and implementation of driving information collection and recording system for driving behavior analysis ↗ · 2020 · Wu, Chien-Chung · indexed
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821. The Conclusion of a Driving Study About Warnings Depends upon How Response Time is Defined ↗ · 2017 · Liu, Ke et al. · indexed
822. Driver drowsiness recognition based on computer vision technology ↗ · 2012 · Zhang, Wei et al. · indexed
823. Proposal of a correct driving operation support system using VR and eye tracking technology ↗ · 2023 · Ito, Tetsuhiro et al. · indexed
824. Individual Differences in Signal Perception for Takeover Request in Autonomous Driving ↗ · 2023 · Lee, Okkeun et al. · indexed
825. Using gaze-based interactions in automated vehicles for increased road safety ↗ · 2019 · Schmidt, Holger et al. · indexed
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828. The Detection of Visual Distraction using Vehicle and Driver-Based Sensors ↗ · 2016 · Schwarz, Chris et al. · indexed
829. Analysis of eye gaze given different automated driving styles in an urban environment ↗ · 2022 · Felbel, Konstantin et al. · indexed
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831. Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking ↗ · 2018 · Moore, Katherine Sledge et al. · indexed
832. Glances That Matter: Applying Quantile Regression to Assess Driver Distraction from Off-Road Glances ↗ · 2018 · Liu, Shu-Yuan et al. · indexed
833. Eye Movement-Based Inference of Truck Driver&amp;apos;s Intent of Changing Lanes ↗ · 2009 · Zhou, Huiping et al. · indexed
834. Examining driver sleepiness based on his visual actions with ML Techniques ↗ · 2024 · Rawat, Vandana et al. · indexed
835. The Effects of Momentary Visual Disruption on Hazard Anticipation and Awareness in Driving ↗ · 2014 · Borowsky, Avinoam et al. · indexed
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837. Driving distraction detection based on gaze activity ↗ · 2021 · Zhang, Yingji et al. · indexed
838. BIONIC – ‘eyes-free’ design of secondary driving controls ↗ · 2005 · Porter, J Mark et al. · indexed
839. A Differential 2D Gaussian Ellipse-Based Eye Movement Analysis · 2025 · Zhang, Jiahao et al. · archived
840. Is the self-confrontation method applicable to Naturalistic Driving Studies? ↗ · 2019 · Barbier, Cécile et al. · indexed
841. A pre-drive ocular assessment predicts alertness and driving impairment: A naturalistic driving study in shift workers ↗ · 2019 · Mulhall, Megan D. et al. · indexed
842. Information as a Source of Distraction · 2015 · Inman, Vaughan W. et al. · archived
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846. Time to Focus on the Road: Adaptive Monitoring Requests Design for Attentional Shift in Conditional Automated Driving ↗ · 2025 · Lim, Yeonsu et al. · indexed
847. Effects of a PC-Based Attention Maintenance Training Program on Driver Behavior Can Last Up to Four Months: Simulator Study ↗ · 2016 · Divekar, Gautam et al. · indexed
848. Design and Implementation of a Multimodal Driver Data Collection and Processing Apparatus for Naturalistic Driving Scenarios ↗ · 2025 · Chen, Ke et al. · indexed
849. Do Expert Gaze Patterns Causally Improve Lap Times in Circuit Driving? ↗ · 2026 · Yasuda, Hiroshi et al. · indexed
850. Validating a methodology for understanding pedestrian - vehicle interactions: A comparison of video and field observations ↗ · 2021 · Madigan, Ruth et al. · indexed
851. Gaze doesn’t always lead steering ↗ · 2018 · Lehtonen, Esko et al. · indexed
852. Supervising the self-driving car ↗ · 2019 · McKerral, Angus et al. · indexed
853. Detecting Critical Mismatched Driver Visual Attention During Lane Change: An Embedding Kernel Algorithm ↗ · 2024 · Xu, Jingbin et al. · indexed
854. Validation of a Driving Simulator by Measuring the Visual Attention Skill of Older Adult Drivers ↗ · 2003 · Lee, Hoe C. et al. · indexed
855. Noncritical State Transitions During Conditionally Automated Driving on German Freeways: Effects of Non–Driving Related Tasks on Takeover Time and Takeover Quality ↗ · 2019 · Naujoks, Frederik et al. · indexed
856. On the Cost of Detection Response Task Performance on Cognitive Load ↗ · 2020 · Biondi, Francesco N. et al. · indexed
857. Evaluating the Influence of Alert Modalities on Driver Attention Transitions Under Visual Distraction: A Sequence Analysis Approach ↗ · 2026 · Shirani, Niloufar et al. · indexed
858. Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness ↗ · 2019 · Baccour, Mohamed Hedi et al. · indexed
859. What the drivers do and do not tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations ↗ · 2014 · Banks, Victoria A. et al. · indexed
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863. An Evaluation of Inclusive Dialogue-Based Interfaces for the Takeover of Control in Autonomous Cars ↗ · 2018 · Politis, Ioannis et al. · indexed
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866. Developing a Standardized Performance Evaluation of Vehicles with Automated Driving Features · 2019 · Basantis, Alexis et al. · archived
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868. Can Drowsiness be seen in the eyes? A new detection method of driver drowsiness levels based on eye-tracking data ↗ · 2025 · Zhang, Runlin et al. · indexed
869. Keeping the driver in the loop through semi-automated or manual lane changes in conditionally automated driving ↗ · 2021 · Dillmann, J. et al. · indexed
870. Comparative safety analysis of take-over control mechanisms of conditionally automated vehicles ↗ · 2025 · Karimi, Arastoo et al. · indexed
871. Predicting Takeover Quality in Conditionally Autonomous Vehicles based on Takeover Request Modalities, Driver Physiological State and the Environment · 2022 · De Salis, Emmanuel et al. · archived
872. Driving With Hemianopia X: Effects of Cross Traffic on Gaze Behaviors and Pedestrian Responses at Intersections · 2022 · Xu, Jing et al. · archived
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874. The Rolling Robot and the Human Brain: Handover of the Driving Task in Automated Vehicles · 2024 · Roessger, Peter et al. · archived
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876. Two-Minute Peripheral Motion Contrast Threshold Test Predicts Older Drivers’ Collisions and Hazardous Driving in Simulator ↗ · 2013 · Henderson, Steven et al. · indexed
877. The Influence of Driver’s Age on Glance Allocations during Single-Task Driving and Voice vs. Visual-Manual Radio Tuning ↗ · 2016 · Dobres, Jonathan et al. · indexed
878. Sensation Seeking and Drivers’ Glance Behavior while Engaging in a Secondary Task ↗ · 2016 · Lee, Joonbum et al. · indexed
879. Takeover Safety Analysis with Driver Monitoring Systems and Driver–Vehicle Interfaces in Highly Automated Vehicles ↗ · 2021 · Yu, Dongyeon et al. · indexed
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898. How much time do drivers need to obtain situation awareness? A laboratory-based study of automated driving ↗ · 2016 · Lu, Zhenji et al. · indexed
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902. Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios? ↗ · 2024 · Li, Ming-Jie et al. · indexed
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907. Analysis of Visual Scanning Patterns Comparing Drivers of Simulated L2 and L0 Systems ↗ · 2019 · Hatfield, Nathan et al. · indexed
908. Development of Warning Methods for Planned and Unplanned Takeover Requests in a Simulated Automated Driving Vehicle ↗ · 2022 · Hong, Sara et al. · indexed
909. Towards unpacking older drivers’ visual-motor coordination: A gaze-based integrated driving assessment ↗ · 2018 · Sun, Qian Chayn et al. · indexed
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912. In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour ↗ · 2011 · Rakotonirainy, Andry et al. · indexed
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915. Driver-initiated take-overs during critical evasion maneuvers in automated driving ↗ · 2024 · Becker, Sandra et al. · indexed
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920. A Real-Time Context-Dependent Driver Attention AssessmentSystem Using Pupil Orientation and Head Posture ↗ · 2025 · Zhang, Weiwei et al. · indexed
921. Driver Gaze Fixation and Pattern Analysis in Safety Critical Events ↗ · 2023 · Bhagat, Hirva et al. · indexed
922. Adaptive Takeover Strategy Based on Driver Fatigue State System for L3 Autonomous Vehicles ↗ · 2025 · Li, Xiao et al. · indexed
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924. Evaluating Freeze and Real-Time Probing for Situation Awareness Measurement in the Pedestrian Environment ↗ · 2025 · Akbar, Gilang H. et al. · indexed
925. Informing drivers via wearable devices: Impacts of tactile warning locations on takeover performance in automated driving ↗ · 2025 · Zhang, Fangda et al. · indexed
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930. Latent Psychological Data Structure of Secondary Driving Tasks ↗ · 2004 · Curry, Reates · indexed
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937. Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle · 2020 · Gomaa, Amr et al. · archived
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942. Where to Look? VR Gaze-Based Analysis in Adverse Weather Driving ↗ · 2025 · Bang, Junsik et al. · indexed
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953. ATTENDO ↗ · 2013 · Hillebrand, Axel · indexed
954. Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor ↗ · 2024 · TADA, Masahiro et al. · indexed
955. An Approach to Transfer of Control Between Automated Vehicle and Driver · 2026 · Dubovsky, V. et al. · archived
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957. How to Design Valid Simulator Studies for Investigating User Experience in Automated Driving ↗ · 2018 · Hock, Philipp et al. · indexed
958. Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor ↗ · 2017 · Hu, Jwu‐Sheng et al. · indexed
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963. Non-Intrusive Detection of Drowsy Driving Based on Eye Tracking Data ↗ · 2019 · Zandi, Ali Shahidi et al. · indexed
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967. Impact of the difficulty of the box task on its sensitivity when combined with a detection response task to assess secondary task workload ↗ · 2025 · Trommler, Daniel et al. · indexed
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995. The Effect of Cognitive Load on Drivers’ Visual Search Strategies During Partially Automated Driving in an Urban Environment ↗ · 2025 · Qin, Hao et al. · indexed
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1003. Information Difference of Transfer Entropies between Head Motion and Eye Movement Indicates a Proxy of Driving ↗ · 2023 · Zhang, Runlin et al. · indexed
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1006. Take-Over Safety Evaluation of Conditionally Automated Vehicles under Typical Highway Segments ↗ · 2023 · Li, Yi et al. · indexed
1007. Driving Fatigue Detection Based on Behavioral with Cognitive Task Scenario ↗ · 2025 · Hadi, Faisal et al. · indexed
1008. Practical Considerations in Building a Simulation-Based Driver Monitoring Evaluation System: Focus on Virtual Driver Generation* ↗ · 2025 · Oh, C. et al. · indexed
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1010. Investigating the Impacts of Road Traffic Conditions and Driver’s Characteristics on Automated Vehicle Takeover Time and Quality Using a Driving Simulator ↗ · 2021 · So, Jaehyun Jason et al. · indexed
1011. A Compact Wearable Eye Movement Measurement System for Support of Safe Driving ↗ · 2019 · Hoshino, Kiyoshi et al. · indexed
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1015. Gaming to Safety ↗ · 2016 · Xie, Jeanne Y. et al. · indexed
1016. A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers · 2013 · Dasgupta, Anirban et al. · archived
1017. Effect of different alcohol levels on take-over performance in conditionally automated driving · 2018 · Wiedemann, Katharina et al. · archived
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1019. Stopping by looking: A driver-pedestrian interaction study in a coupled simulator using head-mounted displays with eye-tracking ↗ · 2022 · Mok, Chun Sang et al. · indexed
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1054. Precognitive control: open- and closed-loop steering in a lane-change manoeuvre ↗ · 1985 · GODTHELP, J. · indexed
1055. Can We Distinguish Driver’s Age Based on Their Eye Movements? ↗ · 2023 · Thai, Jason et al. · indexed
1056. Driver Logo Sign Detection and Hazard Responses during Partially Automated Driving ↗ · 2020 · Cauffman, Stephen J. et al. · indexed
1057. Analyzing crowdsourced ratings of speech-based take-over requests for automated driving ↗ · 2017 · Bazilinskyy, P. et al. · indexed
1058. Eye Tracking System Measurement of Saccadic Eye Movement with Different Illuminance Transmission Exposures during Driving Simulation ↗ · 2022 · Ahmad, Azmir et al. · indexed
1059. Changes of Driving Performance and Gaze Behavior of Novice drivers During a 30-min Simulator-based Training ↗ · 2015 · van Leeuwen, P.M. et al. · indexed
1060. When terminology hinders research: the colloquialisms of transitions of control in automated driving ↗ · 2022 · Maggi, Davide et al. · indexed
1061. Driver Responses to Cyclists Crossing from Near and Far Side in Driving Simulator Experiments · 2022 · Zhao, Yuqing et al. · archived
1062. Multimodal Displays for Take-over in Level 3 Automated Vehicles while Playing a Game ↗ · 2019 · Jeon, Myounghoon · indexed
1063. Simulator Study of Effects of Alternative Distraction Mitigation Strategies in Driver Workload Manager ↗ · 2011 · Tijerina, Louis et al. · indexed
1064. Effects of visual and conversation tasks upon a functional visual field while driving ↗ · 2002 · Ayama, M. et al. · indexed
1065. Monitoring head/eye motion for driver alertness with one camera ↗ · 2002 · Smith, P. et al. · indexed
1066. DRIVER INFORMATION NEEDS ↗ · 1971 · Allen, T M et al. · indexed
1067. A Study on the Control Authority Transition Characteristics by Driver Information ↗ · 2019 · Kim, HyunSuk et al. · indexed
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1069. Assessing driver behaviour at the limits of system function for automated driving ↗ · 2016 · ABE, Genya et al. · indexed
1070. Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification · 2015 · Fridman, Lex et al. · archived
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1072. Driver Intervention Detection via Real-Time Transfer Function Estimation ↗ · 2021 · Schinkel, Wouter S. et al. · indexed
1073. Real-Time Assessment of Secondary Task Intrusiveness upon Real-World Driver Steering Performance using a Fiber-Optic Gyroscope ↗ · 2000 · Schieber, Frank et al. · indexed
1074. Effects of Work Zone Infrastructure on Transitioning from Automated to Manual Driving for Work Zones with Lane Reductions · 2024 · Sanchez, Robert et al. · archived
1075. Peripheral Monitoring of Traffic in Conditionally Automated Driving ↗ · 2018 · Radlmayr, Jonas et al. · indexed
1076. Measuring Train Driver Performance as Key to Approval of Driverless Trains ↗ · 2025 · Tagiew, Rustam et al. · indexed
1077. A Virtual Reality Driving Simulator with Gaze Tracking for Analyzing Driver’s Behavior ↗ · 2022 · Maruyama, Ryohei et al. · indexed
1078. Real time and non-intrusive driver fatigue monitoring · 2005 · Zhu, Zhiwei et al. · archived
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1081. The effect of distraction, response mode and age on peripheral target detection to inform studies of lighting for driving ↗ · 2020 · Fotios, S et al. · indexed
1082. Driver Sleepiness Detection System Based on Eye Movements Variables ↗ · 2013 · Jin, Lisheng et al. · indexed
1083. Pilot Study on Gaze Characteristics of Older Drivers While Watching Driving Movies ↗ · 2024 · Kawabata, Kaori et al. · indexed
1084. How is Driving-Related Attention in Driving with Visual Secondary Tasks Controlled? Evidence for Top-Down Attentional Control ↗ · 2017 · Metz, Barbara et al. · indexed
1085. Do Drivers’ Decision or Emotion Behaviors Made in a Video Test Count? A Comparison between Video Watching and Simulator Driving ↗ · 2015 · Wang, Wei et al. · indexed
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1087. Haptic Vibration as Mutual Assistance: Enhancing Driver-Automation Collaboration for Safer Takeovers in Conditional Automation ↗ · 2026 · Xu, Jinhui et al. · indexed
1088. Perceptual and attentional factors in detection of driving-relevant visual events ↗ · 2017 · Rosenholtz, Ruth et al. · indexed
1089. Driver gaze tracker using deformable template matching ↗ · 2011 · Wang, Wei et al. · indexed
1090. Drugged Driving Expert Panel Report: A Consensus Protocol for Assessing the Potential of Drugs to Impair Driving · 2011 · Logan, Barry K. et al. · archived
1091. Understanding cyclists’ perception of driverless vehicles through eye-tracking and interviews ↗ · 2024 · Berge, Siri Hegna et al. · indexed
1092. Occupational Therapy Assessment of Open-Road Driving Performance: Validity of Directed and Self-Directed Navigational Instructional Components ↗ · 2004 · Mallon, Kerry et al. · indexed
1093. Predicting Driver Takeover Decisions in Conditionally Automated Vehicles with a Gaze-based Deep Learning Model ↗ · 2023 · Gupta, Shantanu et al. · indexed
1094. Assessing Driver Distraction Due to In-Vehicle Video Systems through Field Testing at the Pecos Research and Testing Center ↗ · 2007 · Funkhouser, Dillon et al. · indexed
1095. Effect of driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation ↗ · 2025 · Saito, Yuichi et al. · indexed
1096. The Relationship Between Takeover Request Lead Time and Drivers’ Situation Awareness for Freeway Exiting in Conditionally Automated Driving ↗ · 2021 · Tan, Xiaomei et al. · indexed
1097. Estimation of a three-dimensional gaze point and the gaze target from the road images ↗ · 2011 · Takagi, Kenji et al. · indexed
1098. The Impact of Dual-Task on Lateral Performance: A Simulation-Based Study of Driving Distraction when Approaching Risky Situations ↗ · 2011 · Zhang, Hui et al. · indexed
1099. Blinking and Driving: the Influence of Saccades and Cognitive Workload · 2013 · Cardona, Genís et al. · archived
1100. Analysis of relationship between characteristics of driver's eye movements and visual scene in driving events ↗ · 2011 · Miyoshi, Tetsuya et al. · indexed
1101. Validation of the European visual field standards for driving: A driving simulator‐based study ↗ · 2024 · Sudmann, Thea Melsen et al. · indexed
1102. Evaluation of Driver Distraction with Changes in Gaze Direction Based on a Vestibulo-Ocular Reflex Model ↗ · 2017 · Son, Le Anh et al. · indexed
1103. Enhancing safety in remote takeover of highly automated mining trucks: What are the different effects of audiovisual takeover requests under daytime and nighttime conditions? ↗ · 2026 · Liu, Dong et al. · indexed
1104. Reducing Barriers in Analyzing Eye Tracking Data: The Development of a GUI to Preprocess Eye Tracking Data ↗ · 2024 · Atweh, Jad A. et al. · indexed
1105. A Neural Network-Based Driver Gaze Classification System with Vehicle Signals ↗ · 2020 · Dari, Simone et al. · indexed
1106. Near Peripheral Motion Contrast Threshold Predicts Older Drivers' Driving Simulator Performance ↗ · 2009 · Henderson, Steven et al. · indexed
1107. Data-Driven Estimation of Driver Attention Using Calibration-Free Eye Gaze and Scene Features ↗ · 2022 · Hu, Zhongxu et al. · indexed
1108. A study on the correlation between subjective driver readiness and NDRT Type during automated driving ↗ · 2020 · Kim, Jungsook et al. · indexed
1109. Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles · 2025 · Lu, Xiao et al. · archived
1110. Takeover request (TOR) effects during different automated vehicle failures ↗ · 2021 · DeGuzman, Chelsea A. et al. · indexed
1111. Driver Gaze Behavior Is Different in Normal Curve Driving and when Looking at the Tangent Point ↗ · 2015 · Itkonen, Teemu et al. · indexed
1112. Effects of visual field impairment on driving ↗ · 2015 · Andersson, Jan et al. · indexed
1113. Distracted Driving Due to Visual Working Memory Load · 2014 · Mordkoff, J. Toby et al. · archived
1114. Gaze and Eye Tracking: Techniques and Applications in ADAS ↗ · 2019 · Khan, Muhammad Qasim et al. · indexed
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1117. Monitoring driver attention distraction with binocular vision ↗ · 2019 · Sun, Hai Yan et al. · indexed
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1119. Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods ↗ · 2018 · Oliveira, Licinio et al. · indexed
1120. Gaze guidance reduces the number of vehicle-pedestrian collisions in a driving simulator ↗ · 2011 · Pomarjanschi, Laura et al. · indexed
1121. Eye Gaze Estimation Invisible and IR Spectrum for Driver Monitoring System ↗ · 2020 · Mohan, Susmitha et al. · indexed
1122. The on-the-road driving test ↗ · 2009 · Verster, Joris C. et al. · indexed
1123. An overview of driving distraction measure methods ↗ · 2009 · Qun Wu · indexed
1124. Using Saccadic Intrusions To Quantify Mental Workload ↗ · 2009 · Tokuda, Satoru et al. · indexed
1125. Detecting driver inattention in the absence of driver monitoring sensors ↗ · 2005 · Torkkola, K. et al. · indexed
1126. The relationship of measures of eye behavior and driving performance under the influence of alcohol ↗ · 2026 · Brown, Timothy et al. · indexed
1127. The application of an RGB-D camera for monitoring the allocation of visual attention among high-speed train drivers · 2025 · Shen, Weiyi et al. · archived
1128. Perceptual Load in Different Regions of the Visual Scene and Its Relevance for Driving · 2015 · Marciano, Hadas et al. · archived
1129. Driver Gaze Tracking and Eyes Off the Road Detection System ↗ · 2015 · Vicente, Francisco et al. · indexed
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1134. Conversation Disrupts Visual Scanning of Traffic Scenes ↗ · 2001 · McCarley, Jason S. et al. · indexed
1135. Comparison of Methods to Evaluate the Influence of an Automated Vehicle’s Driving Behavior on Pedestrians: Wizard of Oz, Virtual Reality, and Video ↗ · 2020 · Fuest, Tanja et al. · indexed
1136. Visual attention outperforms visual-perceptual parameters required by law as an indicator of on-road driving performance ↗ · 2020 · Grundler, Wolfgang et al. · indexed
1137. Machine learning agent to recommend the best modality for takeover during conditionally automated driving · 2022 · de Salis, Emmanuel et al. · archived
1138. Oculomotor response in measuring driving fatigue ↗ · 2015 · Puspasari, Maya Arlini et al. · indexed
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1143. Detecting driver fatigue through the use of advanced face monitoring techniques · 2001 · Veeraraghavan, Harini et al. · archived
1144. A New Protocol to Study Mind-Wandering for Air Traffic Controllers · 2023 · Servais, Anaïs et al. · archived
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1149. How to Induce Drowsiness When Testing Driver Drowsiness and Attention Warning (DDAW) Systems ↗ · 2023 · Wörle, Johanna et al. · indexed
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1152. Investigation of the contributing factors of driver takeover time under conditional autonomous driving conditions ↗ · 2024 · Chen, Tao et al. · indexed
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1154. Effect of Response Method on Driver Responses to Auditory Warnings in Simulated Semi-autonomous Driving ↗ · 2018 · Mishler, Scott et al. · indexed
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1156. Embodied Visual Perception for Driver Fatigue Monitoring Systems: A Hierarchical Decoupling Framework for Robust Fatigue Detection and Scenario Understanding ↗ · 2026 · Chen, Siyu et al. · indexed
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1164. Driver attention in urban intersections when crossing paths with cyclists · 2025 · Ahlström, Christer et al. · archived
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1166. Sleep in highly automated driving: Takeover performance after waking up ↗ · 2020 · Wörle, Johanna et al. · indexed
1167. Effects of Driver and Secondary Task Characteristics on Lane Change Test Performance ↗ · 2012 · Rodrick, David et al. · indexed
1168. On the Road to Productivity: Investigating Text-Presentation Techniques and Audio Assistance for Non-Driving Tasks in Conditionally Automated Vehicles ↗ · 2023 · Patel, Shiv G et al. · indexed
1169. Visual Attention During Simulated Autonomous Driving in the US and Japan ↗ · 2017 · Shinohara, Yumiko et al. · indexed
1170. Predicting Operator Workload from Oculometric Data in High-Demand Environments: A Case Study with MATB-II · 2025 · Pogliano, Marco et al. · archived
1171. Takeover Context Matters: Characterising Context of Takeovers in Naturalistic Driving using Super Cruise and Autopilot ↗ · 2023 · Yang, Shiyan et al. · indexed
1172. Investigating Factors Influencing Takeover Performance in Conditionally Automated Driving: The Role of Uncertainty Communication ↗ · 2025 · Tekkesinoglu, Sule et al. · indexed
1173. Effects of explanation-based knowledge regarding system functions and driver’s roles on driver takeover during conditionally automated driving: A test track study ↗ · 2021 · Zhou, Huiping et al. · indexed
1174. Human-Machine Interfaces for Handover from Automated Driving Systems: A Literature Review ↗ · 2020 · Greatbatch, Richard L. et al. · indexed
1175. Modeling the Effect of Subtask Boundaries on Driver Glance Behavior ↗ · 2017 · Lee, Ja Young et al. · indexed
1176. Head pose and gaze direction tracking for detecting a drowsy driver ↗ · 2014 · In-Ho Choi et al. · indexed
1177. Visual Search While Ambulance Driving ↗ · 2026 · Tutenuit, Virginie et al. · indexed
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1179. Eye movements reveal that drivers can predict the location of hazards in dynamic road scenes but gaze and awareness are dissociable ↗ · 2025 · Song, Jiali et al. · indexed
1180. The Effect of Driver Fatigue on Takeover Reaction Time under Human-Machine Co-Driving ↗ · 2023 · Li, Wenliang et al. · indexed
1181. A Systematic Review of Takeover System Design in Highly Automated Driving ↗ · 2026 · Liu, Tianrui et al. · indexed
1182. DGAZE: Driver Gaze Mapping on Road ↗ · 2020 · Dua, Isha et al. · indexed
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1184. Rerun: Enabling Multi-Perspective Analysis of Driving Interaction in VR ↗ · 2022 · Goedicke, David et al. · indexed
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1187. Only Trust a Hidden Wizard: Investigating the Effects of Wizard Visibility in Automotive Wizard of Oz Studies ↗ · 2024 · Kotsios, Heike Christiane et al. · indexed
1188. Effects of Individual Vehicle Differences on Advanced Driver-Assist System Takeover Alert Behavior ↗ · 2022 · Bauchwitz, Benjamin et al. · indexed
1189. Detection of brake lights while distracted: Separating peripheral vision from cognitive load ↗ · 2019 · Wolfe, Benjamin et al. · indexed
1190. Evaluating the Effect of Google Glass on Driver Distraction · 2018 · Fisher, Donald L. et al. · archived
1191. Real-time Driver Monitoring System with Facial Landmark-based Eye Closure Detection and Head Pose Recognition · 2023 · Kim, Dohun et al. · archived
1192. 55 Rides: attention annotated head and gaze data during naturalistic driving ↗ · 2021 · Kübler, Thomas C et al. · indexed
1193. Probabilistic Time-To-Collision: Correlation of Driver Gaze and Surrounding Objects ↗ · 2020 · Epple, Nico et al. · indexed
1194. An HMI Concept to Improve Driver's Visual Behavior and Situation Awareness in Automated Vehicle ↗ · 2018 · Yang, Yucheng et al. · indexed
1195. Vigilance decrement during the on-the-road driving tests: The importance of time-on-task in psychopharmacological research ↗ · 2012 · Verster, Joris C. et al. · indexed
1196. EFFECTS OF TWO DIFFERENT MENTAL TASKS ON VISUAL SEARCH BEHAVIOUR WHILE DRIVING ↗ · 1999 · Recarte, Miguel A. et al. · indexed
1197. Assessing the effectiveness of traffic control devices in deterring wrong-way driving by alcohol-impaired drivers: a driving simulator study ↗ · 2026 · Song, Yukun et al. · indexed
1198. Using Facial Features to Detect Driver’s Drowsiness State ↗ · 2023 · Krity, Kaushiki et al. · indexed
1199. Evaluation of Driver’s Cognitive Load when Presented Information on the Windshield using P300 Latency in Eye-fixation Related Potentials ↗ · 2019 · Takada, Shinya et al. · indexed
1200. Do Drivers Pay Attention during Highway-Based Automated Lane Changes while Operating under Hands-Free Partially Automated Driving? ↗ · 2024 · Llaneras, Robert et al. · indexed
1201. Driver Gaze Region Estimation Based on Computer Vision ↗ · 2020 · Shan, Xinghua et al. · indexed
1202. A Literature Review on Additional Semantic Information Conveyed from Driving Automation Systems to Drivers through Advanced In-Vehicle HMI Just Before, During, and Right After Takeover Request ↗ · 2022 · Liu, Weimin et al. · indexed
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1209. Asynchrony of Directional Auditory Warnings and Visual Information in Hands-on SAE Level 2 Automated Vehicles: Analysis of Driver Responses ↗ · 2025 · Arabian, Ali et al. · indexed
1210. Systematic Review Protocol on Mobile Physiological Monitoring Systems for Driver Fatigue Detection ↗ · 2025 · Scherz, Wilhelm Daniel et al. · indexed
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1213. Contributions to Driver Fatigue Detection Based on Eye-tracking ↗ · 2021 · Băiașu, Ana-Maria et al. · indexed
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1215. Scanning Behaviour in Natural Scenes is Influenced by a Preceding Unrelated Visual Search Task ↗ · 2011 · Thompson, Catherine et al. · indexed
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1217. Applying Adaptive Gain Theory to Pupillary Dynamics During Hands-Off L2 Driving Under High Cognitive Load ↗ · 2026 · Goodridge, Courtney Michael et al. · indexed
1218. Opposing Traffic Safety Assist Draft Test Procedure Performability Validation · 2021 · Manahan, Taylor et al. · archived
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1221. Skill Acquisition While Operating In-Vehicle Information Systems: Interface Design Determines the Level of Safety-Relevant Distractions ↗ · 2009 · Jahn, Georg et al. · indexed
1222. Vision-based drowsiness detector for a realistic driving simulator ↗ · 2010 · Garcia, I. et al. · indexed
1223. Drivers' and non-drivers' performance in a change detection task with static driving scenes: is there a benefit of experience? ↗ · 2014 · Zhao, Nan et al. · indexed
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1226. Relation of Useful Field of View and other Screening Tests to on-Road Driving Performance ↗ · 2000 · Myers, Renee S. et al. · indexed
1227. Optimizing the HMI Design for the Takeover Request in Conditional Automated Driving ↗ · 2025 · Xi, Yu · indexed
1228. Multimodel System for Driver Distraction Detection and Elimination ↗ · 2022 · AbouOuf, Abdulrahman et al. · indexed
1229. Differences in glance behavior between drivers using a rearview camera, parking sensor system, both technologies, or no technology during low-speed parking maneuvers ↗ · 2016 · Kidd, David G. et al. · indexed
1230. Eye tracking system to detect driver drowsiness ↗ · 2015 · Nguyen, T. P. et al. · indexed
1231. Systematic review and meta-analysis of take-over time from automated driving at SAE levels 2 and 3 to manual control ↗ · 2025 · Sekadakis, Marios et al. · indexed
1232. Wake Up and Take Over! The Effect of Fatigue on the Take-over Performance in Conditionally Automated Driving ↗ · 2018 · Feldhutter, Anna et al. · indexed
1233. How should drivers’ use of Automated Lane Keeping Systems (ALKS) be assessed? A study with experienced driving assessors in a Wizard-of-Oz vehicle ↗ · 2026 · Bazilinskyy, Pavlo et al. · indexed
1234. Exploratory Advanced Research Program : Video Analytics Research Projects · 2015 · NHTSA · archived
1235. Reproducibility of Driving Profiles – Application of the Wizard of Oz Method for Vehicle Pedestrian Interaction ↗ · 2019 · Fuest, T. et al. · indexed
1236. Driving with Glaucoma ↗ · 2015 · Kübler, Thomas C. et al. · indexed
1237. Situation Awareness Measurement in Pedestrian Environments: A Comparison between Freeze-probing and Realtime-probing technique ↗ · 2022 · Akbar, Gilang Hamzah et al. · indexed
1238. A Review of Fatigue Driving Detection Based on Electrooculogram ↗ · 2021 · Tian, Yuanyuan et al. · indexed
1239. Using a Vibrotactile Seat for Facilitating the Handover of Control during Automated Driving ↗ · 2017 · Telpaz, Ariel et al. · indexed
1240. Directional vibrotactile takeover requests on a wrist-worn device: effects of age, pattern type, and urgency in automated driving ↗ · 2025 · Lo, Wei-Hsiang et al. · indexed
1241. DRIVER BEHAVIOR MONITORING SYSTEM ↗ · 2021 · Rybak, Andriian · indexed
1242. Takeover Quality: Assessing the Effects of Time Budget and Traffic Density with the Help of a Trajectory-Planning Method ↗ · 2020 · Doubek, Fabian et al. · indexed
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1245. Unsupervised Blink Detection and Driver Drowsiness Metrics on Naturalistic Driving Data ↗ · 2020 · Dari, Simone et al. · indexed
1246. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system ↗ · 2011 · Jo, Jaeik · indexed
1247. Eyeblink detection for wearable eye trackers in real-world environments ↗ · 2026 · Nishizono, Ryota et al. · indexed
1248. A Morphological Method for Driver Fatigue Monitoring ↗ · 2024 · Wu, Wen-Yen · indexed
1249. Proposal of a Cost-Effective and Adaptive Customized Driver Inattention Detection Model Using Time Series Analysis and Computer Vision ↗ · 2024 · Sim, Sangwook et al. · indexed
1250. Dashcam-Based Driver Monitor for Semi-Autonomous Driving ↗ · 2023 · Sunagawa, Mika et al. · indexed
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1252. The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness ↗ · 2020 · Meteier, Quentin et al. · indexed
1253. Useful Field of View in Simulated Driving: Reaction Times and Eye Movements of Drivers ↗ · 2013 · Seya, Yasuhiro et al. · indexed
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1256. Distracted worker: Using pupil size and blink rate to detect cognitive load during manufacturing tasks ↗ · 2022 · Biondi, Francesco et al. · indexed
1257. THE RACER’S GAZE: VISUAL STRATEGY IN HIGH-SPEED SPORTS EXPERTISE ↗ · 2024 · Lappi, Otto et al. · indexed
1258. Eye-tracking for detection of driver fatigue ↗ · 2002 · Eriksson, M. et al. · indexed
1259. Explaining Takeover Requests: The Role of Hazard Type and Explanation Strategy in Conditionally Automated Driving ↗ · 2025 · Jeong, Subin et al. · indexed
1260. Effect of Cognitive Demand on Functional Visual Field Performance in Senior Drivers with Glaucoma ↗ · 2017 · Gangeddula, Viswa et al. · indexed
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1262. Behavioural accident avoidance science: understanding response in collision incipient conditions ↗ · 2003 · HANCOCK, PA et al. · indexed
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1264. Effects of driving style on takeover performance during automated driving: Under the influence of warning system factors ↗ · 2024 · Zhang, Yaping et al. · indexed
1265. Driver observation and shared vehicle control: supporting the driver on the way back into the control loop ↗ · 2018 · Ludwig, Julian et al. · indexed
1266. The Compatibility between the Takeover Process in Conditional Automated Driving and the Current Geometric Design of the Deceleration Lane in Highway ↗ · 2021 · Chen, Cihe et al. · indexed
1267. What Drivers Make of Directional Maneuver Information in a Take-Over Scenario ↗ · 2018 · Kalb, Luis et al. · indexed
1268. Research knows best, but how to communicate distraction measures practically in an industrial context ↗ · 2017 · Geitner, Claudia et al. · indexed
1269. The Effects of Augmented Reality Head-Up Displays on Drivers' Eye Scan Patterns, Performance, and Perceptions ↗ · 2017 · Smith, Missie et al. · indexed
1270. MUST: Smartwatch-based Multimodal Framework for Predicting Driver State and Takeover Performance ↗ · 2026 · Sheem, Seokyong et al. · indexed
1271. Pilot Study of Driver Use of a Camera-Based Visibility System Versus Mirrors · 2023 · Mazzae, Elizabeth N. et al. · archived
1272. A Novel Approach to Sensorimotor Skill Acquisition Utilizing Sensory Substitution: A Driving Simulation Study ↗ · 2019 · Ueda, Sayako et al. · indexed
1273. Effects of Inaccurate Gaze Behavior on Young Drivers’ Hazard Anticipation ↗ · 2019 · Yahoodik, Sarah et al. · indexed
1274. Looking out or Looking Away?—Exploring the Impact of Driving With a Passenger on Young Drivers’ Eye Glance Behavior ↗ · 2022 · Mehrotra, Shashank et al. · indexed
1275. The L3Pilot Data Management Toolchain for a Level 3 Vehicle Automation Pilot · 2020 · Hiller, Johannes et al. · archived
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1278. Distinct oculomotor signatures for task disengagement and reduction in vigilance during a supervisory task ↗ · 2026 · Ficarella, Stefania C. et al. · indexed
1279. Detecting and mitigating driver distraction with motion capture technology: Distracted driving warning system ↗ · 2013 · Gallahan, S. L. et al. · indexed
1280. Do Augmented Reality Head-Up Displays Reduce Drivers’ Subsequent Search Misses in Dual-Hazard Scenes? A 360° VR-Based Hazard Perception Test with Eye-Tracking ↗ · 2026 · Wu, Zhendong et al. · indexed
1281. A Probabilistic Model for Visual Driver Gaze Approximation from Head Pose Estimation ↗ · 2020 · Shirpour, Mohsen et al. · indexed
1282. Driver monitoring using the in-vehicle camera ↗ · 2019 · Masanovic, Luka et al. · indexed
1283. Optic flow density modulates corner-cutting in a virtual steering task for younger and older adults · 2024 · Giguere, Arianna P. et al. · archived
1284. The Effects of Control Takeover Request Modality of Automated Vehicle and Road Type on Driver’s Takeover Time and Mental Workload ↗ · 2023 · Yun, Nam-Kyung et al. · indexed
1285. Driver Responses to Incongruent V2V and V2I Safety Critical Information in Left-Turn Across Path Scenarios ↗ · 2017 · Richard, Christian et al. · indexed
1286. Rapid cognitive testing predicts real-world driving risk in commercial and medically at-risk drivers ↗ · 2025 · Atkin, Alice E. et al. · indexed
1287. The Effects of Cognitive and Visual Workload on Peripheral Detection in the Detection Response Task ↗ · 2018 · van Winsum, Wim · indexed
1288. Driver fatigue surveillance via eye detection ↗ · 2014 · Chang, Tang-Hsien et al. · indexed
1289. A drowsiness detection using smart sensors during driving and smart message alert system to avoid accidents ↗ · 2022 · Vinoth, T. et al. · indexed
1290. Driving Maneuver Prediction Based on Driver Behavior Observation ↗ · 2021 · Diederichsa, Frederik et al. · indexed
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1292. Detecting Driver Fatigue With Eye Blink Behavior · 2024 · Akin, Ali et al. · archived
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1294. Should I stay or Should I go? Using a Cooperative Sneak Peek Interface in Highly Automated Vehicles ↗ · 2022 · Pichen, Jürgen et al. · indexed
1295. A Low-Cost System for Dynamic Analysis of Pupillary Light Response for a Driver Drowsiness Detection System ↗ · 2018 · Amodio, Alessandro et al. · indexed
1296. How Does Driver Takeover Worsen in a Sudden System Failure of Conditionally Automated Driving? ↗ · 2020 · Yao, Hua et al. · indexed
1297. Should the urgency of auditory-tactile takeover requests match the criticality of takeover situations? ↗ · 2018 · Roche, Fabienne et al. · indexed
1298. Predictable eye-head coordination during driving ↗ · 1992 · Land, Michael F. · indexed
1299. Analyzing Gaze During Driving: Should Eye Tracking Be Used to Design Automotive Lighting Functions? ↗ · 2025 · Kunst, Korbinian et al. · indexed
1300. Automated Vision-Based Detection of Impairment Through Divided Attention Psychophysical Tests ↗ · 2025 · Roshan, Saboora M. et al. · indexed
1301. Driver Fatigue Detection System Based on Eye Movements ↗ · 2013 · Niu, Qingning et al. · indexed
1302. A New Method for Estimating Effects of Visual Field Loss in a Panoramic Driving Environment ↗ · 2017 · Anderson, David E et al. · indexed
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1305. An interactive driver assistance system monitoring the scene in and out of the vehicle ↗ · 2004 · Petersson, Lars et al. · indexed
1306. Improved perception-reaction time information for intersection sight distance · 2002 · Hostetter, Robert S. et al. · archived
1307. Multimodal Priming of Drivers for a Cooperative Take-Over ↗ · 2018 · Kalb, Luis et al. · indexed
1308. Direct Measurement of Situation Awareness: Validity and Use of SAGAT · 2017 · Endsley, Mica R. · archived
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1310. Driver Hypo-vigilance Detection Based on Eyelid Behavior ↗ · 2009 · Sigari, Mohamad Hoseyn · indexed
1311. Identifying cognitive distraction using steering wheel reversal rates ↗ · 2016 · Kountouriotis, Georgios K. et al. · indexed
1312. Prevention of Road Accident by Implementing the Driver Drowsiness Detection and Driver Alert System · 2026 · Raju, S. Razaul Karim et al. · archived
1313. Designing a test battery for real-world visual search · 2025 · Sherman, Charli et al. · archived
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1315. Preliminary investigation of real-time monitoring of a driver in city traffic ↗ · 2002 · Betke, M. et al. · indexed
1316. Drivers Drowsiness Detection using Image Processing and I-Ear Techniques ↗ · 2023 · Ananthi, S. et al. · indexed
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1320. Driver-Independent Assessment of Arousal States from Video Sequences Based on the Classification of Eyeblink Patterns ↗ · 2008 · Nopsuwanchai, Roongroj et al. · indexed
1321. Two-stage remote takeover strategy for autonomous driving based on driving risk fields ↗ · 2025 · Li, Kunbin et al. · indexed
1322. Driver Responses to Simultaneous V2V and V2I Safety Critical Information in Left-turn Across Path Scenarios ↗ · 2015 · Richard, Christian et al. · indexed
1323. Slow eyelid closure as a measure of driver drowsiness and its relationship to performance ↗ · 2015 · Jackson, Melinda L. et al. · indexed
1324. The Driver Has Control: Exploring Driving Performance with Varying Automation Capabilities ↗ · 2015 · Johns, Mishel et al. · indexed
1325. Attentional Biases during Steering Behavior · 2013 · Bieg, Hans-Joachim et al. · archived
1326. Comprehensive system for the evaluation of the attention level of a driver ↗ · 2016 · Pullano, S. A. et al. · indexed
1327. DMS - Driver Monitoring System for License Test Using Machine Learning ↗ · 2024 · Sakthy, S. Susila et al. · indexed
1328. Saccadic eye movement performance as an indicator of driving ability in elderly drivers · 2015 · Schmitt, Kai-Uwe et al. · archived
1329. A Review on Driver Distraction Detection Methods ↗ · 2020 · Vismaya, U.K et al. · indexed
1330. Visual Attention and Roadway Landmark Identification in At-Risk Older Drivers, · 2001 · Crowe, Amy et al. · archived
1331. Eye-tracking metrics for estimating workload and characterizing errors in conflict detection and resolution during simulated en route air-traffic control · 2025 · Navia, José A. et al. · archived
1332. Individuals with severe visual field loss from stroke and glaucoma could have on‐road driving safety comparable to normally sighted drivers ↗ · 2025 · Bro, Tomas et al. · indexed
1333. Measuring Interaction-based Secondary Task Load: A Large-Scale Approach using Real-World Driving Data ↗ · 2021 · Ebel, Patrick et al. · indexed
1334. Driver Gaze Zone Dataset With Depth Data ↗ · 2019 · Ribeiro, Rafael F. et al. · indexed
1335. In-Vehicle Decision Support to Reduce Crashes at Rural Thru-Stop Intersections · 2011 · Hayes, Caroline et al. · archived
1336. Examining the Convergent and Discriminant Validity of Visual and Mental Workload Using Ocular Activity Variables ↗ · 2010 · Jessee, Michael S. · indexed
1337. Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge ↗ · 2020 · Rangesh, Akshay et al. · indexed
1338. Technology to Detect Driver Sleepiness ↗ · 2019 · Penzel, Thomas et al. · indexed
1339. Do the eyes have it? A comparison of eye-movement and attentional-probe-based approaches to indexing attentional control within the antisaccade paradigm · 2022 · Basanovic, Julian et al. · archived
1340. Autonomous Driving ↗ · 2017 · Walch, Marcel et al. · indexed
1341. Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust ↗ · 2017 · Hergeth, Sebastian et al. · indexed
1342. An EOG-based Vigilance Estimation Method Applied for Driver Fatigue Detection ↗ · 2015 · Ma, Jia-Xin et al. · indexed
1343. Impact of Cognitive Distractions on Drivers’ Hazardous Event Anticipation and Mitigation Behavior in Vehicle–Bicycle Conflict Situations ↗ · 2020 · Ebadi, Yalda et al. · indexed
1344. Feasibility Study of Drowsy Driving Prediction based on Eye Opening Time ↗ · 2017 · Hatakeyema, Yoshiyuki · indexed
1345. Vigilance, boredom proneness and detection time of a malfunction in partially automated driving ↗ · 2015 · Korber, Moritz et al. · indexed
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1347. Development of drowsiness detection system ↗ · 2002 · Ueno, H. et al. · indexed
1348. Adaptive Time Budgets for Safe and Comfortable Vehicle Control Transition in Conditionally Automated Driving · 2025 · Liang, Kexin et al. · archived
1349. A Literature Review of Inattentional and Change Blindness in Transportation · 2009 · Hannon, D. · archived
1350. Analysis of aging drivers' behaviors navigating with in-vehicle visual display systems ↗ · 2003 · Pauzie, A. et al. · indexed
1351. Driver Drowsiness Detection Based on Eye Analysis ↗ · 2018 · Ursulescu, Oana et al. · indexed
1352. Performance in Takeover and Characteristics of Non-driving Related Tasks during Highly Automated Driving in Younger and Older Drivers ↗ · 2017 · Clark, Hallie et al. · indexed
1353. Driver Gaze Region Estimation without Use of Eye Movement ↗ · 2016 · Fridman, Lex et al. · indexed
1354. Considering Conspicuity for North Carolina Department of Transportation Light Trucks Final Report · 2022 · Sylcott, Brian · archived
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1356. Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Executing Safety Control under Hands-off Partial Driving Automation ↗ · 2023 · Saito, Yuichi et al. · indexed
1357. Gaze Patterns in a Steering-Into-Lane Task on a Straight Road: The Effect of Driving Speed, Lane, and Expertise ↗ · 2011 · Kadar, Endre E. et al. · indexed
1358. Designing for the Extremes: Modeling Drivers’ Response Time to Take Back Control From Automation Using Bayesian Quantile Regression ↗ · 2021 · DinparastDjadid, Azadeh et al. · indexed
1359. Haptic Interface for Vehicular Touch Screens · 2013 · Colgate, J. Edward et al. · archived
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1361. Driver Monitoring System based on Distracted Driving Decision Algorithm ↗ · 2022 · Jeon, Sehwan et al. · indexed
1362. Tunneled In ↗ · 2017 · Mok, Brian et al. · indexed
1363. Predicting Driver Emergency Response Onset using Time-to-Impact ↗ · 2022 · Erazo, Fabian et al. · indexed
1364. Camera-Based Driver Monitoring System for Abnormal Behavior Detection · 2020 · Aljaafreh, Ahmad · archived
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1366. Visual attention while driving: sequences of eye fixations made by experienced and novice drivers ↗ · 2003 · Underwood, Geoffrey et al. · indexed
1367. Should an external human-machine interface flash or just show text? A study with a gaze-contingent setup ↗ · 2023 · Eisma, Yke Bauke et al. · indexed
1368. Research on Driving Distraction Based on Peripheral Detection Task ↗ · 2015 · Zhang, Haichao et al. · indexed
1369. Driver Drowsiness Detection Based on Face Feature and Perclos ↗ · 2021 · Gopi, S. et al. · indexed
1370. Additional Findings on the Multi-Modal Demands of “Voice-Command” Interfaces ↗ · 2016 · Mehler, Bruce et al. · indexed
1371. Eye Movements as an Indicator of Situation Awareness in a Flight Simulator Experiment ↗ · 2012 · van de Merwe, Koen et al. · indexed
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1376. Identification of Target Objects from Gaze Behavior during a Virtual Navigation Task ↗ · 2021 · Enders, Leah R. et al. · indexed
1377. Attention and Threat Detection: Warnings and How They Affect Takeover Performance ↗ · 2020 · Brunsen, Emily et al. · indexed
1378. Eye Blink Detection- A New System for Driver Drowsiness and Distraction Detection ↗ · 2024 · Journal, IJSREM · indexed
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1382. The Immediate Effects of Glare and Electrochromic Glare-Reducing Mirrors in Simulated Truck Driving ↗ · 2000 · Ranney, Thomas A. et al. · indexed
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1384. Observation of Gap Acceptance During Intersection Approach ↗ · 2007 · Cody, Delphine et al. · indexed
1385. Validation of the Vehicle in the Loop (VIL); A milestone for the simulation of driver assistance systems ↗ · 2007 · Bokc, Thomas et al. · indexed
1386. Modeling Slow Lead Vehicle Lane Changing ↗ · 2003 · Olsen, Erik C. B. et al. · indexed
1387. Driver Drowsiness Detection System · 2026 · Kushwaha, Abhishek · archived
1388. Human-Centered HMI Design for Level 3 Automated Driving Takeover Process ↗ · 2023 · Qiu, Yuqi · indexed
1389. Driver drowsiness detection system · 2026 · Dalvi, Spandan et al. · archived
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1394. Driver Drowsiness Identification by Means of Passive Techniques for Eye Detection and Tracking ↗ · 2010 · Cristiani, Andrea et al. · indexed
1395. A Takeover Authority Transfer Strategy Based on Driver State Boundaries ↗ · 2026 · Zhang, Wen et al. · indexed
1396. Keep Your Eyes on the Road: Young Driver Crash Risk Increases According to Duration of Distraction ↗ · 2014 · Simons-Morton, Bruce G. et al. · indexed
1397. Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue ↗ · 2004 · Ji, Q. et al. · indexed
1398. THE EFFECT OF DRIVING EXPERIENCE ON DRIVER'S VISUAL ATTENTION. AN ANALYSIS OF OBJECTS LOOKED AT, USING THE VERBAL REPORT METHOD ↗ · 1980 · Renge, Kazumi · indexed
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1401. How Driver Monitoring System Effectively Alerts Drivers of Partially Automated Vehicles ↗ · 2022 · Jiang, Wen et al. · indexed
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1403. Time-sharing strategies in driving after various cerebral lesions ↗ · 2004 · Wikman, Anna-Stina et al. · indexed
1404. Distraction Detection in Automotive Environment using Appearance-based Gaze Estimation ↗ · 2022 · L.R.D, Murthy et al. · indexed
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1408. Visual Strategies of the Racing Driver ↗ · 2025 · Lappi, Otto et al. · indexed
1409. Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model ↗ · 2023 · Shajari, Arian et al. · indexed
1410. The Robustness of the Horizontal Gaze Nystagmus Test · 2007 · Burns, Marcelline · archived
1411. Effect of a Concurrent Auditory Task on Visual Search Performance in a Driving-Related Image-Flicker Task ↗ · 2002 · Richard, Christian M. et al. · indexed
1412. Assessing Response Time Effects of Forward Collision Warning HMIs with Central Tendency, Variance, and Dominance Tests ↗ · 2014 · Tijerina, Louis et al. · indexed
1413. Real-Time Vision-Based Driver Drowsiness/Fatigue Detection System ↗ · 2010 · Yao, K. P. et al. · indexed
1414. Countermeasures to prevent detection failure of a vehicle approaching on collision course ↗ · 2011 · Uchida, Nobuyuki et al. · indexed
1415. Ocular Activity as a Measure of Mental and Visual Workload ↗ · 2010 · Jessee, M. Sage · indexed
1416. Secondary Tasks and Autonomous Vehicles ↗ · 2019 · Jones, Vanessa et al. · indexed
1417. A study on the Effects of Providing Situation Awareness Information for the Control Authority Transition of Automated Vehicle ↗ · 2019 · Kim, HyunSuk et al. · indexed
1418. Next – Gen Driver Monitoring System ↗ · 2024 · Murugan, Suganiya et al. · indexed
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1420. Implicit Calibration of Point-of-Gaze on Scene Image Using Smooth-Pursuit Eye Movements for Driver Monitoring ↗ · 2025 · Nakazawa, Riku et al. · indexed
1421. Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles ↗ · 2025 · Ko, Jieun et al. · indexed
1422. Research on the Visual Search Time of Metro Driving Human-Machine Interface Based on Cognitive Load Equilibrium in GoA 2 Mode ↗ · 2025 · Ma, Yuming et al. · indexed
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1424. A Prospective, Population-Based Study of the Role of Visual Impairment in Motor Vehicle Crashes among Older Drivers: The SEE Study · 2007 · Rubin, Gary S. et al. · archived
1425. The Influence of Prolonged Conditionally Automated Driving on the Take-Over Ability of the Driver ↗ · 2017 · Schmidt, Jürgen et al. · indexed
1426. Driver Gaze Zone Estimation Based on Three-Channel Convolution-Optimized Vision Transformer With Transfer Learning ↗ · 2024 · Li, Zhao et al. · indexed
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1428. Using Image Processing in the Proposed Drowsiness Detection System Design ↗ · 2018 · POURSADEGHIYAN, Mohsen et al. · indexed
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1430. Detection of Operator Drowsiness Using Google Glass ↗ · 2015 · He, Jibo et al. · indexed
1431. The Role of Nonverbal Communication in Driver Yielding Behavior: A VR-Based Analysis of Pedestrian–Driver Interactions ↗ · 2026 · Won, Jinho et al. · indexed
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1433. Driver Gaze Detection Based on Deep Residual Networks Using the Combined Single Image of Dual Near-Infrared Cameras ↗ · 2019 · Yoon, Hyo Sik et al. · indexed
1434. Maintaining Situational Awareness: The Role of Visual Attention ↗ · 1999 · Chaparro, Alex et al. · indexed
1435. The Importance of Cueing While Visually Searching a 360 Degree Environment for Multiple Targets in the Context of Autonomous Driving · 2025 · Wickens, C. D. et al. · archived
1436. Driver Drowsiness Detection System Based on Eye State Analysis · 2024 · C, Pavilaa. · archived
1437. Behavioral and physiological responses to takeovers in different scenarios during conditionally automated driving ↗ · 2024 · Du, Na et al. · indexed
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1439. The Quality of Behavioral and Environmental Indicators Used to Infer the Intention to Change Lanes ↗ · 2007 · Henning, Matthias J et al. · indexed
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1443. The Spatial Allocation of Drivers' Visual Attention During Driving in Traffic Environment ↗ · 2010 · Xia, Ru Ting et al. · indexed
1444. Adapting hazard perception testing to the Czech driving context: a comparison of hazard perception paradigms in differentiating driver experience and collision history ↗ · 2026 · Ventsislavova, Petya et al. · indexed
1445. Driver-initiated take-overs during critical braking maneuvers in automated driving – The role of time headway, traction usage, and trust in automation ↗ · 2022 · Becker, Sandra et al. · indexed
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1451. Assertive Takeover Requests: Immediate and Sustained Effects on Stress and Performance ↗ · 2023 · Kraut, Vanessa et al. · indexed
1452. Are our legal visual requirements for driving adequate? ↗ · 2021 · Al Busaidi, Aisha · indexed
1453. Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality ↗ · 2021 · Du, Na et al. · indexed
1454. Real-Time Driver Drowsiness Detection System Based on PERCLOS and Grayscale Image Processing ↗ · 2016 · Yan, Jun-Juh et al. · indexed
1455. A Driving Simulator Experiment to Teach Experimental Design in an Undergraduate Psychology Research Methods Course ↗ · 2025 · Toegel, Forrest et al. · indexed
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1457. Driver Drowsiness Detection System ↗ · 2021 · V, Kiranmayee · indexed
1458. Predicting road scenes from brief views of driving video ↗ · 2019 · Wolfe, Benjamin et al. · indexed
1459. Attentional capture in driving displays · 2016 · Arexis, Mahé et al. · archived
1460. Assessment of Driver Attention during a Safety Critical Situation in VR to Generate VR-based Training ↗ · 2019 · Bozkir, Efe et al. · indexed
1461. Protocol for the REVELIO test-track pilot study: a randomised, controlled, single-centre trial in healthy recreational cannabis users investigating real-time in-vehicle detection of cannabis-impaired driving ↗ · 2026 · Deuber, Robin et al. · indexed
1462. Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking ↗ · 2024 · Hu, Zhongxu et al. · indexed
1463. The effect of an occlusion-induced delay on braking behavior in critical situations: A driving simulator study ↗ · 2022 · de Winter, Joost C F et al. · indexed
1464. Impact of alcohol on lane placement and glance patterns when passing a parked active law enforcement vehicle. · 2014 · Finley, Melisa D. et al. · archived
1465. Real-time eye detection and tracking for driver observation under various light conditions ↗ · 2003 · Xia Liu et al. · indexed
1466. Driver Gaze Estimation Method Based on Improved Multi-Head Attention ↗ · 2025 · Li, Penghua et al. · indexed
1467. Examining Driver Sleepiness Detection Based on Visual Actions Using Haar Cascading and CNN ↗ · 2025 · Rawat, Vandana et al. · indexed
1468. Development of a headlight glare simulator for a driving simulator ↗ · 2013 · Hwang, Alex D. et al. · indexed
1469. The Impact of Transition Window Duration on Nominal Transitions of Control in Conditional Automation ↗ · 2026 · Gaspar, John et al. · indexed
1470. The Effects of Landmark Salience on Drivers’ Spatial Cognition and Takeover Performance in Autonomous Driving Scenarios ↗ · 2025 · Liu, Xianyun et al. · indexed
1471. Eye blink parameters to indicate drowsiness during naturalistic driving in participants with obstructive sleep apnea: A pilot study ↗ · 2021 · Cori, Jennifer M. et al. · indexed
1472. DNN-Based Prediction of Standard Driving Posture for Vehicle Takeover ↗ · 2023 · Gou, Junjie et al. · indexed
1473. Speech-based takeover requests in conditionally automated driving: Effects of different voices on the driver takeover performance ↗ · 2022 · Wang, Yi et al. · indexed
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