Theoretical Contribution

conceptual framework

A framework, taxonomy, or set of definitions that organizes a problem space: distraction taxonomies, levels-of-automation classifications, definitions of driver state constructs, conceptual models of takeover or engagement. The contribution is structured vocabulary and distinctions for thinking about the domain, not causal explanation (theory_or_model) and not empirical results.

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

1. Towards Operationalizing Driver Distraction · 2013 · Foley, James P et al. · archived
2. A Taxonomy of Strategies For Supporting Time-Sharing With Non-Driving Tasks in Automated Driving · 2019 · He, Dengbo et al. · archived
3. Defining Driver Distraction ↗ · 2005 · Pettitt, Michael et al. · indexed
4. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2021 · On-Road Automated Driving (ORAD) Committee · indexed
5. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2018 · On-Road Automated Driving (ORAD) Committee · indexed
6. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles ↗ · 2016 · On-Road Automated Driving (ORAD) Committee · indexed
7. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems ↗ · 2014 · On-Road Automated Driving (ORAD) Committee · indexed
8. Toward Defining Driving Automation from a Human-Centered Perspective ↗ · 2017 · Yang, Ji Hyun et al. · indexed
9. Defining Driver Distraction · 2008 · Lee, John et al. · archived
10. Workload, Distraction, and Automation ↗ · 2020 · Lee, John D. et al. · indexed
11. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Concepts of Operation · 2014 · Marinik, Andrew et al. · archived
12. Work domain modeling of human-automation interaction for in-vehicle automation · 2024 · Zhang, You et al. · archived
13. Human-Centered Challenges and Contribution for the Implementation of Automated Driving · 2011 · van den Beukel, Arie P. et al. · archived
14. Evaluation of Strategies for Integrated Classification of Visual-Manual and Cognitive Distractions in Driving · 2016 · Zhang, Yu et al. · archived
15. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts · 2014 · Trimble, Tammy E. et al. · archived
16. Driver Distraction Injury Prevention Countermeasures‚ÄîPart 2 · 2008 · Regan, Michael et al. · archived
17. Using Driver State Detection in Automated Vehicles · 2018 · Gaspar, John et al. · archived
18. Key considerations in the development of driving automation systems ↗ · 2015 · Christensen, Andy et al. · indexed
19. Consumer Use & Adoption of Advanced Vehicle Systems · 2019 · Seppelt, Bobbie et al. · archived
20. Taxonomy, Open Challenges, Motivations, and Recommendations in Driver Behavior Recognition: A Systematic Review ↗ · 2024 · al-qaysi, ziadoon · indexed
21. Driver Distraction Detection Methods: A Literature Review and Framework · 2021 · Kashevnik, Alexey et al. · archived
22. Minimum Required Attention: A Human-Centered Approach to Driver Inattention ↗ · 2017 · Kircher, Katja et al. · indexed
23. Control Task Substitution in Semiautomated Driving · 2012 · Carsten, Oliver et al. · archived
24. Effects of Distraction in On-Road Level 2 Automated Driving: Impacts on Glance Behavior and Takeover Performance ↗ · 2021 · Yang, Shiyan et al. · indexed
25. The "Out-of-the-Loop" concept in automated driving: proposed definition, measures and implications · 2018 · Merat, Natasha et al. · archived
26. A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction · 2018 · Lint, Hans van et al. · archived
27. Takeover performance according to the level of disengagement during automated driving · 2022 · Gallouin, Evan et al. · archived
28. A critique of the SAE conditional driving automation definition, and analyses of options for improvement · 2018 · Inagaki, Toshiyuki et al. · archived
29. 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
30. A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure ↗ · 2023 · Chen, Sikai et al. · indexed
31. Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic ↗ · 2020 · Markkula, G. et al. · indexed
32. On the Philosophical Foundations of the Distracted Driver and Driving Distraction ↗ · 2008 · Hancock, Peter A. et al. · indexed
33. Humans and intelligent vehicles : the hope, the help, and the harm. · 2016 · Fisher, Donald L. et al. · archived
34. Model-based estimation of the state of vehicle automation as derived from the driver's spontaneous visual strategies · 2019 · Schnebelen, Damien et al. · archived
35. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts ↗ · 2015 · Blanco, Myra et al. · indexed
36. Countermeasures To Detect and Combat Inattention While Driving Partially Automated Systems · 2023 · Paras, Carolina Rodriguez et al. · archived
37. Development of Situational Awareness Enhancing System for Manual Takeover of AV · 2023 · Li, Yujie et al. · archived
38. Devil in the details: Systematic review of TOR signals in automated driving with a generic classification framework ↗ · 2022 · Jansen, Reinier J. et al. · indexed
39. Framing automation of driving tasks: Effects on risk perception and consumers’ understanding of different levels of vehicle automation across four European countries ↗ · 2025 · Harms, Ilse M. et al. · indexed
40. Visual gaze and engagement with non-driving related tasks: a driving simulator study with automated vehicles ↗ · 2025 · Pradhan, Anuj K. · indexed
41. How to navigate the intermediate levels of vehicle automation? ↗ · 2025 · van Nes, Nicole et al. · indexed
42. DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving · 2025 · Halin, Anaïs et al. · archived
43. Applicability of risky decision-making theory to understand drivers' behaviour during transitions of control in vehicle automation · 2019 · GONÇALVES, Rafael Cirino et al. · archived
44. Effect of human–machine interface infotainment systems and automated vehicles on driver distraction ↗ · 2024 · Abbasi, Elahe et al. · indexed
45. An Integrated Open-Source Framework for Automated Analysis of Driver Activity, Glance, and Vehicle Automation Mode ↗ · 2026 · Sahoo, Praneet et al. · indexed
46. Psychological constructs in driving automation: a consensus model and critical comment on construct proliferation ↗ · 2015 · Heikoop, Daniël D. et al. · indexed
47. Detecting driver distraction · 2018 · Liang, Yulan · archived
48. Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors · 2021 · Pradhan, Anuj K. et al. · archived
49. How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and Interfaces ↗ · 2024 · Peintner, Jakob et al. · indexed
50. A Comprehensive Review of Driver’s Attention and the Evaluation Methods · 2021 · Abbasi, Elahe et al. · archived
51. The Effects of Visual and Cognitive Distractions on Operational and Tactical Driving Behaviors ↗ · 2013 · Zhang, Yu et al. · indexed
52. Spotlighting distraction in artificial intelligence driver assistance systems · 2023 · Cardoso, Bruno et al. · archived
53. Capturing Voluntary, Involuntary, and Habitual Components of Driver Distraction in a Self-Reported Questionnaire · 2015 · Marulanda, Susana et al. · archived
54. How to assess driver's interaction with partially automated driving systems – A framework for early concept assessment · 2017 · van den Beukel, Arie P. et al. · archived
55. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures · 2019 · McDonald, Anthony D et al. · archived
56. Research Framework for Studying Driver Distraction on Polish City Highways · 2013 · Kelwyn A. D’Souza et al. · archived
57. Distracted when Using Driving Automation: A Quantile Regression Analysis of Driver Glances Considering Task Type · 2022 · He, Dengbo et al. · archived
58. 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
59. Driver Distraction: Mechanisms, Evidence, Prevention, and Mitigation · 2023 · Regan, Michael A. et al. · archived
60. Human-Centered Intervention Based on Tactical-Level Input in Unscheduled Takeover Scenarios for Highly-Automated Vehicles · 2020 · Kamezaki, Mitsuhiro et al. · archived
61. Takeover performance evaluation using driving simulation: a systematic review and meta-analysis · 2021 · Soares, Sónia et al. · archived
62. The implication of non-driving activities on situation awareness and take-over performance in level 3 automation ↗ · 2020 · Yang, Lichao et al. · indexed
63. Quantitative models for automation rate and situation awareness response: A case study of levels of driving automation ↗ · 2021 · Liu, Yunmei et al. · indexed
64. A Systematic Review of Metrics Measuring Takeover Performance in Conditionally Automated Driving ↗ · 2025 · Tilbury, Dawn M. et al. · indexed
65. How Do Advanced Driver Assistance Systems Fit into Level of Automation Frameworks? ↗ · 2022 · Souders, Dustin J. et al. · indexed
66. Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance · 2025 · Liang, Kexin et al. · archived
67. Design of Conditional Driving Automation Variables to Improve Takeover Performance ↗ · 2019 · Tanshi, Foghor et al. · indexed
68. A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition · 2020 · Fasanmade, Adebamigbe et al. · archived
69. 2017 Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2018 · AAA Foundation for Traffic Safety · archived
70. Time Required for Take-over from Automated to Manual Driving ↗ · 2016 · Ito, Toshio et al. · indexed
71. The Effect of Urgency of Take-Over Requests During Highly Automated Driving Under Distraction Conditions · 2021 · Naujoks, Frederik et al. · archived
72. Lateral control assistance in car driving: classification, review and future prospects ↗ · 2011 · Navarro, J. et al. · indexed
73. Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel ↗ · 2018 · Victor, Trent et al. · indexed
74. A theoretical model of human-automation interaction grounded in resource allocation policy during automated driving ↗ · 2018 · Yamani, Yusuke et al. · indexed
75. Human-Machine interfaces and vehicle Automation: A review of the literature and recommendations for system Design, Feedback, and alerts · 2024 · Wang, Meng et al. · archived
76. Cognitive Distraction: Something to Think About · 2013 · AAA Foundation for Traffic Safety · archived
77. Towards standardized metrics for measuring takeover performance in conditionally automated driving: A systematic review · 2021 · Tilbury, Dawn M. et al. · archived
78. Using Driver State Detection in Automated Vehicles [supporting dataset] · 2019 · Gaspar, John et al. · archived
79. Insights for the Future of Car Rental and Ridesharing: Driving Behavior Across Different Levels of Automation · 2025 · Meda, Pranav et al. · archived
80. Vision-Language Hazard Reasoning for Driver Distraction and Workload Estimation ↗ · 2025 · Ng, Shu-Kay et al. · indexed
81. Understanding driver distraction associated with specific behavioural interactions with in-vehicle and portable technologies · 2017 · Imberger, K · archived
82. A Contextual Multimodal System for Increasing Situation Awareness and Takeover Quality in Conditionally Automated Driving · 2023 · Capallera, Marine et al. · archived
83. The Effects of Visual and Cognitive Distraction on Driver Situation Awareness · 2011 · Rogers, Meghan L. et al. · archived
84. Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality · 2024 · Ansar, Muhammad Sajjad et al. · archived
85. Level of Automation Forms a Key Aspect of Autonomy Design ↗ · 2017 · Endsley, Mica R. · indexed
86. The distraction potential of driving a partially automated vehicle through a construction zone · 2025 · Biondi, F et al. · archived
87. Systematic Review of Research on Driver Distraction in the Context of Advanced Driver Assistance Systems ↗ · 2021 · Pradhan, Anuj K. · indexed
88. Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al. · archived
89. Driver Inattention During Vehicle Automation: How Does Driver Engagement Affect Resumption Of Control? ↗ · 2015 · Louw, Tyron et al. · indexed
90. Distraction Becomes Engagement in Automated Driving ↗ · 2015 · Miller, David et al. · indexed
91. Preface to the Special Section on Human Factors and Automation in Vehicles · 2012 · Merat, Natasha et al. · archived
92. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al. · indexed
93. From Manual Driving to Automated Driving · 2019 · Ayoub, Jackie et al. · archived
94. Assessing cognitive distraction in the automobile · 2015 · Strayer, DL et al. · archived
95. 2021 Virtual Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2022 · AAA Foundation for Traffic Safety · archived
96. Modeling Driver Distraction from Cognitive Tasks ↗ · 2019 · Salvucci, Dario D. · indexed
97. A Theoretical Field-Analysis of Automobile-Driving ↗ · 1938 · Gibson, James J. et al. · indexed
98. Driver Distraction ↗ · 2014 · Bengler, Klaus · indexed
99. Conceptualization of Human Factors in Automated Driving by Work Domain Analysis ↗ · 2020 · Zhang, You et al. · indexed
100. Bridging Gaps Among Human, Assisted, and Automated Driving With DVIs: A Conceptional Experimental Study ↗ · 2018 · Wang, Jiao et al. · indexed
101. Effects of Level 3 Automated Vehicle Drivers’ Fatigue on Their Take-Over Behaviour: A Literature Review ↗ · 2021 · Guo, Hanying et al. · indexed
102. Human factors implications of vehicle automation: Current understanding and future directions · 2014 · Merat, Natasha et al. · archived
103. Supervising the self-driving car: Situation awareness and fatigue during highly automated driving ↗ · 2023 · McKerral, Angus et al. · indexed
104. 2019 Forum on the Impact of Vehicle Technologies and Automation on Users – Design and Safety Implications: A Summary Report · 2020 · AAA Foundation for Traffic Safety · archived
105. Individual Differences in Glance Patterns under Distraction in Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
106. Towards Cooperative Driving: Involving the Driver in an Autonomous Vehicle's Decision Making · 2016 · Walch, Marcel et al. · archived
107. CityMobil · 2009 · Toffetti, Antonella et al. · archived
108. Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data · 2021 · Rangesh, Akshay et al. · archived
109. Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles · 2025 · Gomaa, Amr et al. · archived
110. Measuring and Predicting Drivers’ Takeover Readiness and Supporting Takeover Transitions in Automated Driving · 2023 · AAA Foundation for Traffic Safety · archived
111. Driver Expectations for System Control Errors, Driver Engagement, and Crash Avoidance in Level 2 Driving Automation Systems · 2021 · Russell, Sheldon M. et al. · archived
112. Examining effects of scenario type and vehicle speed on takeover readiness and performance in conditionally automated driving ↗ · 2020 · Tilbury, Dawn M. et al. · indexed
113. Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations ↗ · 2016 · Gold, Christian et al. · indexed
114. Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach · 2023 · Yang, Haohan et al. · archived
115. Human-Machine Interfaces and Vehicle Automation: The Effect of HMI Design on Driver Performance and Behavior · 2023 · Wang, Meng et al. · archived
116. Utilization of Drivetime – Performing Non-Driving Related Tasks While Driving Highly Automated ↗ · 2015 · Gold, Christian et al. · indexed
117. Is the Technology in Your Car Driving You to Distraction? · 2015 · Strayer, David L. · archived
118. A multi-method approach to understanding drivers' experiences and behavior under partial vehicle automation · 2023 · Strayer, DL et al. · archived
119. Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review ↗ · 2023 · Pradhan, Anuj K. · indexed
120. European NCAP Program Developments to Address Driver Distraction, Drowsiness and Sudden Sickness ↗ · 2021 · Fredriksson, Rikard et al. · indexed
121. Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation · 2017 · Louw, Tyron et al. · archived
122. Driver's arousal and workload under partial vehicle automation · 2020 · Strayer, DL et al. · archived
123. Naturalistic Study of Level 2 Driving Automation Functions · 2018 · Russell, Sheldon M. et al. · archived
124. Highly Automated Driving, Secondary Task Performance, and Driver State · 2012 · Merat, Natasha et al. · archived
125. Predicting Takeover Performance and Identifying Behavioral Patterns in Autonomous Vehicles Based on Readiness State and Scenario Complexity ↗ · 2025 · Lai, Hsueh-Yi et al. · indexed
126. NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE ↗ · 2001 · Ranney, Thomas A. et al. · indexed
127. NHTSA DRIVER DISTRACTION RESEARCH: PAST, PRESENT, AND FUTURE ↗ · 2001 · Ranney, Thomas A. et al. · indexed
128. Who is performing the driving tasks after interventions? Investigating drivers' understanding of mode transition logic in automated vehicles ↗ · 2024 · Kim, Soyeon et al. · indexed
129. Situation Awareness in Driving ↗ · 2020 · Endsley, Mica · indexed
130. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
131. Do Researchers Use the Levels of Automation Appropriately? How Automation is Discussed in Research ↗ · 2023 · Parker, Jah’inaya et al. · indexed
132. Driver Distraction Assessment Using Driver Modeling ↗ · 2013 · Hermannstadter, Peter et al. · indexed
133. DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data · 2020 · Pakdamanian, Erfan et al. · archived
134. 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
135. Human factors issues for automated vehicles ↗ · 2012 · Harvey, Catherine · indexed
136. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
137. Terms of debate: Consensus definitions to guide the scientific discourse on visual distraction · 2023 · Liesefeld, Heinrich R. et al. · archived
138. Examining the Role of Driver Perception in Takeover Time: Application of Task-Capability Interface Theory ↗ · 2024 · Liang, Kexin et al. · indexed
139. Modeling Drivers’ Takeover Behavior Depending on the Criticality of Driving Situations and the Complexity of Secondary Tasks ↗ · 2019 · Tanshi, Foghor et al. · indexed
140. Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving · 2025 · Liang, Kexin et al. · archived
141. Considerations for the development of a driver distraction safety rating system for new vehicles · 2020 · Imberger, K · archived
142. Driver's arousal and workload under partial vehicle automation · 2020 · Cooper, JM et al. · archived
143. From Car-Driver-Handovers to Cooperative Interfaces: Visions for Driver-Vehicle Interaction in Automated Driving ↗ · 2017 · Walch, Marcel et al. · indexed
144. Government and Industry Perspectives on Driver Distraction ↗ · 2008 · Tingvall, Claes et al. · indexed
145. Driven to distraction ↗ · 2015 · Strayer, DL et al. · indexed
146. Survey and Synthesis of State of the Art in Driver Monitoring · 2021 · Halin, Anaïs et al. · archived
147. From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attentional Resource Allocation across Automation Levels · 2023 · Figalova, Nikol et al. · archived
148. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures · 2019 · McDonald, Anthony D. et al. · archived
149. Cooperation between drivers and automation: implications for safety ↗ · 2008 · Hoc, Jean-Michel et al. · indexed
150. Look Up! An Eye-Tracking Study on Situation Awareness During Automated Vehicle Takeover ↗ · 2021 · Liang, Nade et al. · indexed
151. Driver behavior while using Level 2 vehicle automation: A hybrid naturalistic study · 2023 · Cooper, JM et al. · archived
152. Influence of Driving Experience on Distraction Engagement in Automated Vehicles · 2019 · He, Dengbo et al. · archived
153. User Interactions with Vehicle Automation Technologies: A Review of Previous Research and a Proposed Framework · 2023 · AAA Foundation for Traffic Safety · archived
154. 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
155. How Do Automation Modes Influence the Frequency of Advanced Driver Distraction Warnings? A Simulator Study ↗ · 2023 · Koniakowsky, Ina Marie et al. · indexed
156. A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure · 2023 · Chen, Sikai et al. · archived
157. Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection · 2023 · Suchan, Jakob et al. · archived
158. Strategies for reducing driver distraction from in-vehicle telematics devices : a discussion document · 2003 · Transport Canada, Road Safety and Motor Vehicle Regulations Directorate · archived
159. Beyond Levels of Automation: Human System Modes, Levels, Functions and Patterns for an Intelligent Human Systems Integration of Humans and Co-Systems · 2024 · Flemisch, Frank et al. · archived
160. Driver Distraction with Wireless Telecommunications and Route Guidance Systems · 2000 · Tijerina, L. et al. · archived
161. Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation Awareness ↗ · 2020 · Vogelpohl, Tobias et al. · indexed
162. A Research Framework for Studying Transit Bus Driver Distraction · 2013 · D’Souza, Kelwyn A. et al. · archived
163. The “field of safe travel” revisited: interpreting driving behaviour performance through a holistic approach ↗ · 2017 · Papakostopoulos, Vassilis et al. · indexed
164. Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction · 2023 · He, Dengbo et al. · archived
165. 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
166. The Effects of Non-Driving-Related Task Engagement on Automated Driving Takeover Performance During the Nighttime ↗ · 2022 · Liang, Nade et al. · indexed
167. Attention selection and task interference indriving: an action-oriented view ↗ · 2009 · Engström, Johan et al. · indexed
168. Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks ↗ · 2010 · Ersal, Tulga et al. · indexed
169. Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors · 2021 · AAA Foundation for Traffic Safety et al. · archived
170. 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
171. Fatigue and Voluntary Utilization of Automation in Simulated Driving ↗ · 2012 · Neubauer, Catherine et al. · indexed
172. 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
173. The multitasking motorist and the attention economy · 2021 · Strayer, DL et al. · archived
174. Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion · 2020 · Miles, James et al. · archived
175. 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
176. Modeling driver-vehicle interaction in automated driving Modellierung der Fahrer-Fahrzeug-Interaktion beim automatisierten Fahren · 2022 · Nobari, Khazar Dargahi et al. · archived
177. Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S ↗ · 2017 · Endsley, Mica R. · indexed
178. Driver Distraction Analysis on Naturalistic Heavy Vehicle Data: Task 2: Analysis of Sleeper Berth Data for Distraction Events – Draft Final Report · 2001 · Hanowski, Richard J. et al. · archived
179. Drivers have Impaired Working Memory under High Cognitive Load and Visual Distraction: Safety Implications for Transitions of Control from Vehicle Automation ↗ · 2026 · Goncalves, Rafael Cirino et al. · indexed
180. Conditions for a safe state of automated road vehicles ↗ · 2015 · Reschka, Andreas et al. · indexed
181. Caltrans UAS and Driver Safety: Driver Distraction in the Presence of UAS · 2024 · Akhavian, Reza et al. · archived
182. National Advanced Driving Simulator Measures Driver Interactions with Automated Driving System · 2017 · NHTSA · archived
183. Susceptibility to Driver Distraction Questionnaire · 2014 · Feng, Jing et al. · archived
184. Using Human-Machine Interfaces To Convey Feedback in Automated Vehicles · 2019 · Shull, Emily et al. · archived
185. Human Factors Design of Automated Highway Systems: Scenario Definition · 1995 · NHTSA · archived
186. Takeover Safety Analysis with Driver Monitoring Systems and Driver–Vehicle Interfaces in Highly Automated Vehicles ↗ · 2021 · Yu, Dongyeon et al. · indexed
187. Driver’s Arousal and Workload under Partial Vehicle Automation · 2020 · AAA Foundation for Traffic Safety · archived
188. Confidence Horizon for a Dynamic Balance between Drivers and Vehicle Automation: First Sketch and Application · 2022 · Herzberger, Nicolas et al. · archived
189. Understanding the Effects of Distracted Driving and Developing Strategies to Reduce Resulting Deaths and Injuries: A Report to Congress · 2013 · Vegega, Maria et al. · archived
190. The Naturalistic Study of Distracted Driving: Moving from Research to Practice ↗ · 2011 · Hanowski, Richard Joseph · indexed
191. 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
192. Distraction and Inattention Countermeasure Technologies ↗ · 2011 · Victor, Trent · indexed
193. Biologically Inspired Automotive User Interfaces for Partially and Highly Automated Maneuver Gestures: Final Results and Outlook · 2022 · Herzberger, Nicolas Daniel et al. · archived
194. Measuring cognitive distraction in the automobile II · 2014 · Strayer, DL et al. · archived
195. Heatmap-Based Method for Estimating Drivers' Cognitive Distraction · 2020 · Musabini, Antonyo et al. · archived
196. Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles ↗ · 2020 · Fisher, Donald L. et al. · indexed
197. A User-Centered Approach to Adapt the Human-Machine Cooperation Strategy in Autonomous Driving · 2021 · Coeugnet, Stéphanie et al. · archived
198. Moving Into the Loop: An Investigation of Drivers' Steering Behavior in Highly Automated Vehicles ↗ · 2020 · Alsaid, Areen et al. · indexed
199. Modeling of takeover variables with respect to driver situation awareness and workload for intelligent driver assistance ↗ · 2019 · Tanshi, Foghor et al. · indexed
200. Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · Ahlstrom, Christer et al. · archived
201. Driver intervention performance assessment as a key aspect of L3–L4 automated vehicles deployment ↗ · 2021 · Rodak, Aleksandra et al. · indexed
202. From HMI to HMIs: Towards an HMI Framework for Automated Driving · 2020 · Bengler, Klaus et al. · archived
203. The Role of Driver Distraction in Traffic Crashes · 2001 · Stutts, Jane C. et al. · archived
204. Usability testing of three visual HMIs for assisted driving: How design impacts driver distraction and mental models · 2023 · Perrier, Mickaël J. R. et al. · archived
205. Context-Aware Driver Distraction Severity Classification using LSTM Network ↗ · 2019 · Fasanmade, Adebamigbe et al. · indexed
206. Behavior change associated with using partial automation among three samples of drivers during a 4-week field trial ↗ · 2025 · Reagan, Ian J. et al. · indexed
207. An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction · 2024 · Schwager, Robin et al. · archived
208. Development and evaluation of a human machine interface to support mode awareness in different automated driving modes · 2022 · Tinga, Angelica M. et al. · archived
209. An Investigation of Peer Influences on Risky Child and Adolescent Pedestrian Road Crossing: Final Report · 2016 · Plumert, Jodie M. et al. · archived
210. Autonomous driving: investigating the feasibility of car-driver handover assistance · 2015 · Walch, Marcel et al. · archived
211. CH-LSTTM: A Taxonomy of Traffic Hazards · 2024 · Yan, Song et al. · archived
212. Improving Driver Performance and Experience in Assisted and Automated Driving With Visual Cues in the Steering Wheel ↗ · 2022 · Diederichs, Frederik et al. · indexed
213. Exploring the Relationship Between Drivers’ Stationary Gaze Entropy and Situation Awareness in a Level-3 Automation Driving Simulation ↗ · 2024 · Ding, Wen et al. · indexed
214. Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles ↗ · 2020 · Lee, Seul Chan et al. · indexed
215. The role of driver distraction in traffic crashes · 2001 · Stutts, Jane C. et al. · archived
216. Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards · 2025 · Shleibik, Yousra et al. · archived
217. Cognitive load and task switching in drivers: Implications for road safety in semi-autonomous vehicles ↗ · 2024 · Xu, Jinhui et al. · indexed
218. Exploring driving anger-caused impairment of takeover performance among professional taxi drivers · 2024 · Pan, Hengyan et al. · archived
219. From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels · 2023 · Figalova, Nikol et al. · archived
220. Human-Machine Interfaces and Vehicle Automation: A Review of the Literature and Recommendations for System Design, Feedback, and Alerts · 2022 · AAA Foundation for Traffic Safety · archived
221. How do distracted and normal driving differ : an analysis of the ACAS naturalistic driving data · 2007 · Green, Paul E. et al. · archived
222. Modeling the Impact of Automation on Driver Distraction: A Queuing Theory Approach ↗ · 2025 · Parker, Jah’inaya et al. · indexed
223. Evaluating In-Car Tasks’ Distraction Effects with Drive-In Lab · 2025 · Kujala, Tuomo et al. · archived
224. Assessment of Truck Driver Distraction Problem and Research Needs · 2005 · Llaneras, Robert E. et al. · archived
225. Attentive User Interfaces to Improve Multitasking and Take-Over Performance in Automated Driving ↗ · 2019 · Wintersberger, Philipp et al. · indexed
226. Understanding the impacts of mobile phone distraction on driving performance: A systematic review · 2016 · Oviedo-Trespalacios, Óscar et al. · archived
227. Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions · 2013 · Jamson, A. Hamish et al. · archived
228. Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving · 2020 · Zhou, Feng et al. · archived
229. Modelling level 1 situation awareness in driving: A cognitive architecture approach · 2024 · Rehman, Umair et al. · archived
230. Investigating the impact of driving automation systems on distracted driving behaviors ↗ · 2021 · Dunn, Naomi et al. · indexed
231. Interactive Traffic Management for Highly Automated Vehicles · 2023 · Alkim, Tom et al. · archived
232. Engagement in Non-Driving Related Tasks as a Non-Intrusive Measure for Mode Awareness: A Simulator Study ↗ · 2020 · Forster, Yannick et al. · indexed
233. Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving · 2017 · Louw, Tyron et al. · archived
234. Effects of Task-Induced Fatigue in Prolonged Conditional Automated Driving ↗ · 2019 · Jarosch, Oliver et al. · indexed
235. Effects of Non-Driving Related Task Modalities on Takeover Performance in Highly Automated Driving ↗ · 2018 · Wandtner, Bernhard et al. · indexed
236. Use of High-Fidelity Simulation to Evaluate Driver Performance with Vehicle Automation Systems · 2009 · Brown, Timothy et al. · archived
237. Can EEG Measurements be Used to Estimate the Performance of Taking over Control from an Autonomous Vehicle for Different Levels of Distracted Driving? An Explorative Study ↗ · 2022 · Van Miltenburg, Maykel M.P.G. et al. · indexed
238. Behavioral Research and Practical Models of Drivers' Attention · 2021 · Kotseruba, Iuliia et al. · archived
239. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
240. Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing · 2024 · Deng, Min et al. · archived
241. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al. · archived
242. Human Factors of Driving Automation: Evasive Maneuver Event Response Evaluation · 2023 · Britten, Nicholas N et al. · archived
243. Predicting Driver Takeover Time in Conditionally Automated Driving · 2021 · Ayoub, Jackie et al. · archived
244. Control Transition Interfaces in Semiautonomous Vehicles ↗ · 2017 · Mirnig, Alexander G. et al. · indexed
245. Effects of unreliable automation, non-driving related task, and takeover time budget on drivers’ takeover performance and workload ↗ · 2022 · Shahini, Farzaneh et al. · indexed
246. Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS · 2024 · Hasan, Aamir et al. · archived
247. Assessing the Ghanaian driver's susceptibility to distraction engagement · 2025 · Sam, Enoch F. · archived
248. Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode · 2022 · Zhao, Hongfei et al. · archived
249. Human-Machine Interaction for Vehicles: Review and Outlook ↗ · 2018 · Kun, Andrew L. · indexed
250. Supporting Driver Attention Toward Potential Hazards During Takeover: A Preliminary Result ↗ · 2024 · Tilbury, Dawn M. et al. · indexed
251. Driver’s Mental Model of Vehicle Automation ↗ · 2020 · Seppelt, Bobbie et al. · indexed
252. Predicting drivers’ takeover time for safe and comfortable vehicle control transitions: The role of spare capacity and driver characteristics ↗ · 2025 · Liang, Kexin et al. · indexed
253. Human-Machine Interfaces and Vehicle Automation: The Effect of HMI Design on Driver Performance and Behavior · 2023 · AAA Foundation for Traffic Safety · archived
254. SITUATION AWARENESS: WHAT IT IS AND WHY IT MATTERS FOR ITS ↗ · 1999 · Harbluk, Joanne L. et al. · indexed
255. Simulator Study of Involuntary Driver Distraction Under Different Perceptual Loads ↗ · 2017 · Hoekstra-Atwood, Liberty et al. · indexed
256. Towards a transactional ergonomics for driver stress and fatigue ↗ · 2002 · Matthews, Gerald · indexed
257. In-vehicle displays to support driver anticipation of traffic conflicts in automated vehicles · 2021 · He, Dengbo et al. · archived
258. Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use · 2025 · Halin, Anaïs et al. · archived
259. Analysis of the distraction impact on driving performance across driving styles: A driving simulator study in various speed conditions · 2025 · Faqani, Mobina et al. · archived
260. The role of take-over cue informativity in interrupted take-over requests in a semi-automated driving scenario · 2026 · Berger, Alexander et al. · archived
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262. Precursor Systems Analyses of Automated Highway Systems. Automated Check Out · 1995 · NHTSA · archived
263. Review of real-time visual driver distraction detection algorithms ↗ · 2010 · Ahlström, Christer et al. · indexed
264. Impact of Smart Phones’ Interaction Modality on Driving Performance for Conventional and Autonomous Vehicles · 2020 · Favaro, Francesca M · archived
265. Effects of User Interfaces on Take-Over Performance: A Review of the Empirical Evidence · 2021 · Kim, Soyeon et al. · archived
266. Impact of Voice Assistants’ Conversational Style on Cognitive Driver Distraction · 2025 · Dittrich, Monique et al. · archived
267. Measuring Cognitive Distraction in the Automobile II: Assessing In-Vehicle Voice-Based Interactive Technologies · 2014 · AAA Foundation for Traffic Safety · archived
268. Training to Improve Drivers’ Behavior When Partial Driving Automation Fails [supporting datasets] · 2022 · Roberts, Shannon C et al. · archived
269. Driver Behavior Analysis for Safe Driving: A Survey ↗ · 2015 · Kaplan, Sinan et al. · indexed
270. 2022 Forum on the Impact of Vehicle Technologies and Automation on Users: A Summary Report · 2022 · AAA Foundation for Traffic Safety · archived
271. Automotive Collision Avoidance System Field Operational Test · 2005 · Llaneras, Robert E. et al. · archived
272. Understanding Driver-Automated Vehicle Interactions Through Wizard of Oz Design Improvisation ↗ · 2015 · Mok, Brian et al. · indexed
273. A quantitative model of takeover request time budget for conditionally automated driving · 2024 · Tanshi, Foghor et al. · archived
274. Situation Awareness Classification Using Multi-modal Sensing in Automated Driving ↗ · 2021 · Liang, Nade et al. · indexed
275. New knowledge and methods for mitigating driver distraction · 2018 · Geitner, Claudia · archived
276. Literature Review of Behavioral Adaptations to Advanced Driver Assistance Systems · 2016 · AAA Foundation for Traffic Safety · archived
277. Driver arousal and workload under partial vehicle automation: A pilot study · 2020 · Lohani, M et al. · archived
278. Predicting Driver Errors during Automated Vehicle Takeovers · 2023 · Alambeigi, Hananeh et al. · archived
279. A multimodal interaction concept for cooperative driving ↗ · 2013 · Zimmermann, Markus et al. · indexed
280. Driver Distraction and Inattention: A Queuing Theory Approach ↗ · 2017 · Senders, John W. · indexed
281. Is conditionally automated driving a bad idea? Observations from an on-road study in automated vehicles with multiple levels of driving automation · 2025 · Kim, Soyeon et al. · archived
282. The effect of driver cognitive abilities and distractions on situation awareness and performance under hazard conditions · 2016 · Kaber, David B. et al. · archived
283. Semi-automated versus highly automated driving in critical situations caused by automation failures · 2014 · Strand, Niklas et al. · archived
284. Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control ↗ · 2017 · Eriksson, Alexander et al. · indexed
285. Transition to manual: Driver behaviour when resuming control from a highly automated vehicle ↗ · 2014 · Merat, Natasha et al. · indexed
286. Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review · 2024 · Lorenz, Martin et al. · archived
287. Synthesis of Literature Relating to Cellular Telephone/Personal Digital Assistant Use in Commercial Truck and Bus Operations · 2011 · NHTSA · archived
288. Where drivers are looking at during takeover: Implications for safe takeovers during conditionally automated driving ↗ · 2023 · Huang, Chao et al. · indexed
289. The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study ↗ · 2026 · Cai, Yuan et al. · indexed
290. Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis · 2025 · Vasta, N et al. · archived
291. State-of-Knowledge on Distracted Driving Due to Portable Electronic Device Use: 2008 – 2022 Update · 2024 · Wright, Timothy J. et al. · archived
292. Driver Reactions to Automated Vehicles · 2018 · Eriksson, Alexander et al. · archived
293. Identifying Mental Frameworks Underlying Driver Behavior in Urban Contexts [Summary] · 2024 · Carver, DeWayne et al. · archived
294. A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al. · archived
295. Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue ↗ · 2024 · Wei, Ran et al. · indexed
296. Effects of non-driving related tasks on mental workload and take-over times during conditional automated driving · 2021 · Müller, Andreas et al. · archived
297. Human system patterns for interaction and cooperation of automated vehicles and humans ↗ · 2023 · Flemisch, Frank et al. · indexed
298. Driver heterogeneity in willingness to give control to conditional automation · 2024 · Ansar, Muhammad Sajjad et al. · archived
299. Assessment of Driving Automation Interfaces via Visual Attention Measures: A Literature Review ↗ · 2021 · Kanaan, Dina et al. · indexed
300. Estimating the out-of-the-loop phenomenon from visual strategies during highly automated driving · 2020 · Schnebelen, Damien et al. · archived
301. Factors related to drivers' perception of interference from in-vehicle activities ↗ · 2010 · Horrey, William J. et al. · indexed
302. Investigating Problem of Distracted Drivers on Louisiana Roadways · 2018 · Sun, Xiaoduan et al. · archived
303. Training to Improve Drivers’ Behavior When Partial Driving Automation Fails · 2020 · Roberts, Shannon C et al. · archived
304. From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al. · archived
305. This is your brain on autopilot: Neural indices of driver workload and engagement during partial vehicle automation · 2023 · McDonnell, AS et al. · archived
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307. A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al. · archived
308. Effects of non-driving related tasks during autonomous driving · 2023 · Horáková, Miroslava · archived
309. Effects of Traffic Conditions on Driver Takeover Performance and Situational Awareness ↗ · 2023 · Jia, Lesong et al. · indexed
310. Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · Dong, Yanchao et al. · indexed
311. Driving Under Involuntary Distraction and Varied Perceptual Loads ↗ · 2016 · Hoekstra-Atwood, Liberty et al. · indexed
312. Adaptive human machine interface based on the detection of driver's cognitive state using machine learning approach ↗ · 2014 · Pinotti, Daniele et al. · indexed
313. Predicting Take-over Time for Autonomous Driving with Real-World Data:\n Robust Data Augmentation, Models, and Evaluation · 2021 · Rangesh, Akshay et al. · archived
314. On the impact of on-road partially-automated driving on drivers’ cognitive workload and attention allocation ↗ · 2024 · Biondi, FN et al. · indexed
315. Typology of Behavioral and Emotional Reactions to Uncomfortable Automated Driving Operations · 2024 · Beggiato, Matthias et al. · archived
316. Performance of an Additional Task During Level 2 Automated Driving: An On-Road Study Comparing Drivers With and Without Experience With Partial Automation ↗ · 2018 · Solís-Marcos, Ignacio et al. · indexed
317. A Review of Shared Control for Automated Vehicles: Theory and Applications · 2020 · Marcano, Mauricio et al. · archived
318. Handovers and Resumption of Control in Semi-Autonomous Vehicles ↗ · 2017 · Mirnig, Alexander G. et al. · indexed
319. Driver Distraction in Commercial Vehicle Operations (TechBrief) · 2009 · NHTSA · archived
320. Linking Behaviour and Perception to Evaluate Meaningful Human Control over Partially Automated Driving · 2026 · George, Ashwin et al. · archived
321. How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving ↗ · 2014 · Radlmayr, Jonas et al. · indexed
322. Crash Studies of Driver Distraction ↗ · 2008 · Gordon, Craig · indexed
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327. Influence of Surrounding Traffic and System Behaviors on Driver-Initiated Automation Disengagements in Urban Overtaking Scenarios ↗ · 2025 · Muslim, Husam et al. · indexed
328. Driver Distraction in Commercial Motor Vehicle Operations · 2017 · Hanowski, Richard J. et al. · archived
329. Cooperation between driver and automated driving system: Implementation and evaluation · 2017 · Guo, Chunshi et al. · archived
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331. Behavioral Transportation: The Role of Psychological, Cognitive, and Social Factors in Distracted Driving Behavior ↗ · 2023 · Gabaldon, Janeth · indexed
332. User Experience and Behavioural Adaptation Based on Repeated Usage of Vehicle Automation: Online Survey · 2024 · Mbelekani, Naomi Y. et al. · archived
333. Approaches for loss of vigilance in vehicle automation: a meta-analytical study ↗ · 2017 · Gonçalves, Rafael Cirino et al. · indexed
334. Spoken Dialog Planning to Reduce User Distraction in Mobile Environments · 2015 · Glass, James et al. · archived
335. The Underpinnings of Workload in Unmanned Vehicle Systems · 2017 · Hooey, Becky L. et al. · archived
336. Emergency, Automation Off: Unstructured Transition Timing for Distracted Drivers of Automated Vehicles ↗ · 2015 · Mok, Brian et al. · indexed
337. A bibliometric review of research on driver fatigue under conditional automated driving ↗ · 2026 · Ni, Dingan et al. · indexed
338. Disengagement from driving when using automation during a 4-week field trial ↗ · 2021 · Reagan, Ian J. et al. · indexed
339. Investigating the Impact of Distracted Driving among Different Socio-Demographic Groups · 2019 · Jeihani, Mansoureh et al. · archived
340. Assessing the Effects of In-Vehicle Tasks on Driving Performance ↗ · 2011 · Horrey, William J. · indexed
341. Recognition of Manual Driving Distraction Through Deep-Learning and Wearable Sensing · 2019 · Li, Li et al. · archived
342. Prevalence and distribution of young driver distraction errors in naturalistic driving · 2014 · Carney, Cher et al. · archived
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350. Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track · 2024 · Figalova, Nikol et al. · archived
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353. Detecting Driver Distraction · 2018 · Eskenazi, Maxine et al. · archived
354. Post Take-Over Performance Varies in Drivers of Automated and Connected Vehicle Technology in Near-Miss Scenarios · 2024 · Yamani, Yusuke et al. · archived
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356. Effect of Fixed and sEMG-Based Adaptive Shared Steering Control on Distracted Driver Behavior ↗ · 2021 · Wang, Zheng et al. · indexed
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359. An eHMI Presenting Request-to-Intervene and Takeover Status of Level 3 Automated Vehicles to Support Surrounding Traffic Safety · 2026 · Liu, Hailong et al. · archived
360. Vibrotactile Displays: A Survey With a View on Highly Automated Driving ↗ · 2015 · Petermeijer, Sebastiaan M. et al. · indexed
361. Designing transparency for automated driving: Effects of ambient light cues and explanations on driver performance · 2025 · Huang, Jingyu et al. · archived
362. Research and Design Considerations for Presentation of Non-Safety Related Information via In-Vehicle Displays during Automated Driving ↗ · 2022 · Cauffman, Stephen J. et al. · indexed
363. Comparison of Visual Sampling Patterns Under Simulated L2 and L0 Systems ↗ · 2018 · Hatfield, Nathan et al. · indexed
364. Examining the impacts of drivers' emotions on takeover readiness and performance in highly automated driving · 2019 · Du, Na et al. · archived
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366. Detection of driver manual distraction via image-based hand and ear recognition · 2020 · Li, Li et al. · archived
367. Defining and Substantiating the Terms Scene, Situation, and Scenario for Automated Driving ↗ · 2015 · Ulbrich, Simon et al. · indexed
368. Examining the impacts of drivers’ emotions on takeover readiness and performance in highly automated driving · 2019 · Ayoub, Jackie et al. · archived
369. Detection and Categorization of Altercontrol. Phase 2 Report to BMW on a Methodical Approach for the Engineering of Driver Assistance Systems · 2001 · Ervin, Robert et al. · archived
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371. Secondary Task Engagement During Automated Drives: Friend and Foe? ↗ · 2020 · Shupsky, Taylor et al. · indexed
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388. Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems · 2023 · Strayer, David L. · archived
389. Prevalence and Distribution of Young Driver Distraction Errors in Naturalistic Driving · 2014 · Carney, Cher et al. · archived
390. Take-Over Performance and Safety Analysis Under Different Scenarios and Secondary Tasks in Conditionally Automated Driving · 2019 · Wu, Chaozhong et al. · archived
391. A Vehicle Guidance Model with a Close-to-Reality Driver Model and Different Levels of Vehicle Automation · 2021 · Ma, Xiaoyi et al. · archived
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393. Tools for Transport: Driven to Learn With Connected Vehicles · 2021 · Morris, Nichole et al. · archived
394. Deployment Scenarios for Vehicles with Higher-Order Automation · 2016 · Beiker, Sven · archived
395. Effect of Adaptive and Fixed Shared Steering Control on Distracted Driver Behavior · 2021 · Wang, Zheng et al. · archived
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401. Understanding the Impact of Technology: Do Advanced Driver Assistance and Semi-Automated Vehicle Systems Lead to Improper Driving Behavior? · 2019 · AAA Foundation for Traffic Safety · archived
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406. The impact of visual user interfaces on drivers’ understanding of driving control mode and hands-on steering wheel requirement in Level 2 automated vehicles · 2024 · Kim, Soyeon et al. · archived
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418. Predicting Takeover Performance in Conditionally Automated Driving ↗ · 2020 · Du, Na et al. · indexed
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423. Adaptive Time Budgets for Safe and Comfortable Vehicle Control Transition in Conditionally Automated Driving · 2025 · Liang, Kexin et al. · archived
424. Trends in U.S. Drivers’ Perceptions and Attitudes Toward Vehicle Automation, 2019–2025 · 2026 · AAA Foundation for Traffic Safety · archived
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427. Analysis of Gaze Behavior to Measure Cognitive Distraction in Real-World Driving ↗ · 2018 · Yang, Shiyan et al. · indexed
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433. Consumer Information Potpourri: Instructional and Operational Variability Among Passenger Vehicle Automated Systems ↗ · 2019 · Wright, Timothy J. et al. · indexed
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440. The Effect of Partial Automation on Driver Attention: A Naturalistic Driving Study ↗ · 2019 · Gaspar, John et al. · indexed
441. The impact of smart driving aids on driving performance and driver distraction · 2011 · Birrell, S.A. et al. · archived
442. Identification of dynamic driving styles based on behavioral primitives. · 2026 · Zheng, X et al. · archived
443. Exploring the Behaviour Change Wheel and the Theoretical Domains Framework in interventions for mobile phone driver distraction: A scoping review ↗ · 2024 · Demir, Basar et al. · indexed
444. The Relationship between Driver Fatigue and Driver Distraction ↗ · 2008 · Williamson, Ann · indexed
445. Architecture for multi-level cooperation and dynamic authority management in an Automated Driving System - A case study on lane change cooperation ↗ · 2016 · Benloucif, Mohamed Amir et al. · indexed
446. The Challenges of Driving Mode Switching in Automated Vehicles: A Review ↗ · 2023 · Hu, Lin et al. · indexed
447. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · NHTSA · archived
448. Toward an Integrated Model of Driver Behavior in Cognitive Architecture ↗ · 2001 · Salvucci, Dario D. et al. · indexed
449. Exploration of Contributing Factors of Different Distracted Driving Behaviors · 2019 · Shi, Jing et al. · archived
450. Embodied Cognitive Architecture to Support Driver Performance ↗ · 2018 · Artifice, Andreia et al. · indexed
451. Driving Performance After Self-Regulated Control Transitions in Highly Automated Vehicles ↗ · 2017 · Eriksson, Alexander et al. · indexed
452. A driver-distraction-based lane-keeping assistance system · 2007 · Pohl, Jochen et al. · archived
453. Automation Lessons from Other Domains ↗ · 2020 · Wickens, C. D. · indexed
454. 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
455. Multi-level cooperation between the driver and an automated driving system during lane change maneuver ↗ · 2016 · Benloucif, M. A. et al. · indexed
456. Applying Mambaattention, Tabpfn, and Tabtransformers to Classify Sae Automation Levels in Crashes · 2025 · Das, Subasish et al. · archived
457. A human factors perspective on automated driving · 2017 · Kyriakidis, Miltos et al. · archived
458. Investigating the interplay between cognitive workload and situation awareness during full driving automation ↗ · 2025 · Sahoo, P et al. · indexed
459. Stabilization Time after Mode Switch in Conditionally Automated Driving: Focusing on Drivers’ Cognitive Load and Visual Attention ↗ · 2025 · Li, Yujin et al. · indexed
460. Impacts of In-vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation ↗ · 2022 · Souders, Dustin et al. · indexed
461. Automated Driving Systems (ADS) Operational Behavior and Traffic Regulations Information – Concept of Use · 2020 · Garrett, Kyle et al. · archived
462. Drivers and automation: a systematic review on road suitability for assisted and partially/conditionally automated vehicles ↗ · 2026 · Karimi, Arastoo et al. · indexed
463. Stabilization Time after Mode Switch in Conditionally Automated Driving: Focusing on Drivers Cognitive Load and Visual Attention ↗ · 2025 · Li, Yujin et al. · indexed
464. 0-7033: Defining Operational Design Domains (ODDs) for the Safe Blending of Levels 0-4 Connected and Autonomous Vehicles (CAVs) in the Traffic Streams · 2023 · Chin, Kristie et al. · archived
465. Human-Automation Interaction and the Challenge of Maintaining Situation Awareness in Future Autonomous Vehicles ↗ · 2019 · Endsley, Mica R. · indexed
466. IVI human factors strategy · 1999 · Ference, Jack · archived
467. Distracted driving and associated crash risks : tech summary. · 2014 · NHTSA · archived
468. Towards a Conceptual Model of Users’ Expectations of an Autonomous In-Vehicle Multimodal Experience · 2024 · Ince, Ecem Berfin et al. · archived
469. 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
470. I’ve Got the Power: Exploring the Impact of Cooperative Systems on Driver-Initiated Takeovers and Trust in Automated Vehicles ↗ · 2023 · Woide, Marcel et al. · indexed
471. A Scoping Study on Driver’s Perspective of Distracting Factors ↗ · 2021 · Al-Rousan, Taleb M. et al. · indexed
472. A System's Perspective Towards an Architecture Framework for Safe Automated Vehicles · 2018 · Bagschik, Gerrit et al. · archived
473. The role of self-regulation in the context of driver distraction: A simulator study ↗ · 2016 · Wandtner, Bernhard et al. · indexed
474. Systematization of autonomous vehicles in last mile transportation processes – taxonomy development and clustering of existing concepts ↗ · 2024 · Maas, Julian et al. · indexed
475. Human machine interface design for continuous support of mode awareness during automated driving: An online simulation ↗ · 2022 · Tinga, Angelica M. et al. · indexed
476. Out of the Loop, in Your Bubble: Mind Wandering Is Independent From Automation Reliability, but Influences Task Engagement ↗ · 2018 · Gouraud, Jonas et al. · indexed
477. Safety of the Intended Functionality of Lane-Centering and Lane-Changing Maneuvers of a Generic Level 3 Highway Chauffeur System · 2020 · Becker, Christopher et al. · archived
478. Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms ↗ · 2010 · Fabio, Tango et al. · indexed
479. Functional Safety Assessment of a Generic Automated Lane Centering System and Related Foundational Vehicle Systems · 2018 · Brewer, John et al. · archived
480. User interface design and verification for semi-autonomous driving · 2014 · Sadigh, Dorsa et al. · archived
481. A hierarchical framework to analyze shared control conflicts between human and machine ↗ · 2016 · Itoh, Makoto et al. · indexed
482. Changes in glance and hands-on-wheel behaviors when engaging with non-driving-related tasks while using Tesla Autopilot ↗ · 2025 · Pipkorn, Linda et al. · indexed
483. 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
484. 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
485. Distracted Driving: Strategies and State of the Practices · 2019 · Mitran, Elisabeta et al. · archived
486. The Effects of a Scheduled Driver Engagement Strategy in Automated Driving ↗ · 2015 · Blommer, Mike et al. · indexed
487. Investigating Key Automated Vehicle Human Factors Safety Issues Related to Infrastructure: Summary of Stakeholder Workshop · 2020 · Roldan, Stephanie M. et al. · archived
488. Investigation of distracted driving activities at highway-rail grade crossings (HRGC). · 2013 · Khattak, Aemal et al. · archived
489. A Bayesian Regression Analysis of the Effects of Alert Presence and Scenario Criticality on Automated Vehicle Takeover Performance ↗ · 2023 · Alambeigi, Hananeh et al. · indexed
490. Classification of Human Driver Distraction Using 3D Convolutional Neural Networks ↗ · 2023 · Kwakye, Kelvin et al. · indexed
491. Interactive PowerPoint Training to Improve Safety Driver Awareness while Operating a Transit Vehicle Equipped with Driving Automation Features · 2023 · King, Savana et al. · archived
492. Determining Key Parameters with Data-Assisted Analysis of Conditionally Automated Driving · 2023 · Gruden, Timotej et al. · archived
493. A Landscape of Research on Bus Driver Behavior: Taxonomy, Open Challenges, Motivations, Recommendations, Limitations, and Pathways Solution in Future ↗ · 2021 · Mohammed, Ali et al. · indexed
494. Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier ↗ · 2021 · Ahangari, Samira et al. · indexed
495. Development of Human Factors Guidelines for Advanced Traveler Information Systems and Commercial Vehicle Operations: Task Analysis of ATIS/CVO Functions · 1996 · Wheeler, William A. et al. · archived
496. Take-over performance in evasive manoeuvres · 2017 · Happee, Riender et al. · archived
497. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches ↗ · 2009 · Tango, Fabio et al. · indexed
498. Identifying novice drivers in need of hazard perception ability improvement for takeover performance ↗ · 2024 · Weng, Shixuan et al. · indexed
499. Role of Habits in Cell Phone-Related Driver Distractions · 2020 · Hansma, Braden Joseph et al. · archived
500. Vehicle Automation–Other Road User Communication and Coordination: Theory and Mechanisms · 2020 · Domeyer, Joshua E. et al. · archived
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502. Review of Automated Vehicle Technology: Policy and Implementation Implications · 2016 · McGehee, Daniel V. et al. · archived
503. Educating the Public About Distracted Driving and Evaluating Distraction-Prevention Technologies · 2022 · Jeihani, Mansoureh et al. · archived
504. Driver distraction and inattention in the USA large truck and national motor vehicle crash causation studies ↗ · 2009 · Craft, R et al. · indexed
505. DRIVING DISTRACTION DUE TO DRONES · 2018 · Hurwitz, David S. et al. · archived
506. Strategy and architecture of a safety concept for fully automatic and autonomous driving assistance systems ↗ · 2010 · Horwick, Markus et al. · indexed
507. Consumer Education and Training for Vehicle Automation: Outcomes from an Expert Workshop · 2024 · AAA Foundation for Traffic Safety · archived
508. The crosstalk hypothesis: Why language interferes with driving. ↗ · 2012 · Strayer, David L. et al. · indexed
509. Driver distraction: A review of the literature ↗ · 2003 · Young, Kristie L. et al. · indexed
510. Detection of Driving Distractions and Their Impacts ↗ · 2023 · Shajari, Arian et al. · indexed
511. Multivariate Statistical Analysis of Public Transit Bus Driver Distraction ↗ · 2012 · D'Souza, Kelwyn et al. · indexed
512. Synthesis of Automated Vehicle Legislation · 2017 · Hubbard, Sarah M · archived
513. Time to Focus on the Road: Adaptive Monitoring Requests Design for Attentional Shift in Conditional Automated Driving ↗ · 2025 · Lim, Yeonsu et al. · indexed
514. Fatigue and Secondary Media Impacts in the Automated Vehicle: A Multidimensional State Perspective ↗ · 2023 · Neubauer, Catherine et al. · indexed
515. Identifying the Causes of Drivers’ Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements · 2018 · Darzi, Ali et al. · archived
516. Multimodal Detection of Driver Distraction · 2017 · Eskenazi, Maxine et al. · archived
517. Mathematical Definitions of Scene and Scenario for Analysis of Automated Driving Systems in Mixed-Traffic Simulations · 2021 · Andreotti, Eleonora et al. · archived
518. Toward an “Equal-Footing” Human-Robot Interaction for Fully Autonomous Vehicles · 2017 · Amanatidis, Theocharis et al. · archived
519. Identification of a Linear Parameter Varying Driver Model for the Detection of Distraction ↗ · 2015 · Ameyoe, Ablamvi et al. · indexed
520. Towards a dynamic balance between humans and automation: authority, ability, responsibility and control in shared and cooperative control situations · 2011 · Flemisch, Frank et al. · archived
521. A hierarchical risk model for traffic participants ↗ · 1988 · Van Der Molen, H H et al. · indexed
522. Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and Acceptance ↗ · 2020 · Ma, Shu et al. · indexed
523. An Evaluation of Inclusive Dialogue-Based Interfaces for the Takeover of Control in Autonomous Cars ↗ · 2018 · Politis, Ioannis et al. · indexed
524. An Initial Review of the Instructional and Operational Variability Among Automated Systems in Passenger Vehicles ↗ · 2017 · Wright, Timothy J. et al. · indexed
525. Detecting driver distraction using stimuli-response EEG analysis · 2019 · Bajwa, Garima et al. · archived
526. The effects of driving with different levels of unreliable automation on self-reported workload and secondary task performance ↗ · 2016 · de Winter, Joost et al. · indexed
527. A generic multi-scale framework for microscopic traffic simulation part II – Anticipation Reliance as compensation mechanism for potential task overload · 2020 · Calvert, Simeon C. et al. · archived
528. Leading to distraction: Driver distraction, lead car, and road environment ↗ · 2016 · Kountouriotis, Georgios K. et al. · indexed
529. Towards a skill- and ability-based development process for self-aware automated road vehicles · 2017 · Nolte, Marcus et al. · archived
530. From automation to autonomy and autonomous vehicles ↗ · 2020 · Xu, Wei · indexed
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532. DRIVER INATTENTION ↗ · 2004 · Richard, TAY et al. · indexed
533. Driver distraction: A review of the literature ↗ · 2003 · Young, Kristie L. et al. · indexed
534. Understanding teleoperation: A human-centered framework for workplace design · 2025 · Nick, Alexandra et al. · archived
535. Industry-Service Matrix for Autonomous Vehicle: Framework Development and Empirical Validation ↗ · 2025 · Park, Sun Jung et al. · indexed
536. Driver Distraction Using Visual-Based Sensors and Algorithms · 2016 · Fernández, Alberto et al. · archived
537. Classification of Level 2 Driving Automation Events Observed on Public Roads – Part 2 · 2021 · Snyder, Andrew C. et al. · archived
538. Steer-By-WiFi ↗ · 2018 · Schartmüller, Clemens et al. · indexed
539. Were they in the loop during automated driving? Links between visual attention and crash potential · 2017 · Louw, Tyron et al. · archived
540. Impact of free-choice non-driving related activities on driver fatigue and performance in the context of conditional automated driving ↗ · 2025 · Loew, Alexandra et al. · indexed
541. Editorial for Special Issue: Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles ↗ · 2020 · Naujoks, Frederik et al. · indexed
542. Situation Awareness and Driving Performance in a Simulated Navigation Task ↗ · 2006 · Ma, Ruiqi et al. · indexed
543. Driving with Partial Driving Automation Systems: Developing Effective Training that Drivers Will Use · 2025 · AAA Foundation for Traffic Safety · archived
544. Determination of Takeover Time Budget Based on Analysis of Driver Behavior · 2022 · Tanshi, Foghor et al. · archived
545. The classification of vigilance tasks in the real world ↗ · 2008 · Donald, Fiona M. · indexed
546. Communication and Communication Problems Between Autonomous Vehicles and Human Drivers · 2016 · Färber, Berthold · archived
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549. Situation awareness with different levels of automation ↗ · 2014 · Miller, Dave et al. · indexed
550. Where to gaze during take-over: Eye gaze strategy analysis of different situation awareness and hazard perception levels ↗ · 2023 · Ding, Wen et al. · indexed
551. A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems · 2022 · Schutt, Barbara et al. · archived
552. Impact of Distracted Driving on Congestion · 2011 · Stavrinos, Despina et al. · archived
553. Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities · 2024 · Usman, Sheikh Muhammad et al. · archived
554. The Building Blocks of Driver Distraction Policy ↗ · 2011 · McGehee, Daniel V. · indexed
555. Prior Familiarization With Takeover Requests Affects Drivers’ Takeover Performance and Automation Trust ↗ · 2017 · Hergeth, Sebastian et al. · indexed
556. Fatigue in the Automated Vehicle ↗ · 2014 · Neubauer, Catherine et al. · indexed
557. Automated driving · 2020 · Janssen, Christian P. et al. · archived
558. Benefits estimation framework for automated vehicle operations. · 2015 · Smith, Scott et al. · archived
559. Conference proceedings of the Northeast Autonomous Vehicle Summit. · 2017 · Simler, Tara et al. · archived
560. Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles · 2022 · Martinez, Kimberly D et al. · archived
561. AUTOMOBIL – selbstbewegtes Fahrzeug · 2019 · Bertram, Torsten et al. · archived
562. Driving (and) Attention – Does Directional Illumination Support Driver’s System Supervision When Driving Automatically? ↗ · 2021 · Van den Beukel, Arie P. et al. · indexed
563. Recent International Activity in Cooperative Vehicle–Highway Automation Systems · 2012 · Shladover, S.E. · archived
564. The impact of an adaptive user interface on reducing driver distraction ↗ · 2011 · Tchankue, Patrick et al. · indexed
565. FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 1 · 2020 · Blanco, Myra et al. · archived
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567. Conceptual Model to Explain, Predict, and Improve User Acceptance of Driverless Podlike Vehicles ↗ · 2016 · Nordhoff, Sina et al. · indexed
568. Effects of Work Zone Infrastructure on Transitioning from Automated to Manual Driving for Work Zones with Lane Reductions · 2024 · Sanchez, Robert et al. · archived
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570. Stages and Levels of Automation: An Integrated Meta-analysis ↗ · 2010 · Wickens, Christopher D. et al. · indexed
571. Shared and cooperative control of ground and air vehicles: Introduction and general overview ↗ · 2017 · Abbink, David A. · indexed
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574. 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
575. An Exploratory Study of Driver Response to Reduced System Confidence Notifications in Automated Driving ↗ · 2017 · Tijerina, Louis et al. · indexed
576. Improving automatic detection of driver fatigue and distraction using machine learning · 2024 · Wu, Dongjiang · archived
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578. The Effect of Vehicle Automation Styles on Drivers’ Emotional State ↗ · 2023 · Alsaid, Areen et al. · indexed
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580. An Approach for the Selection and Description of Elements Used to Define Driving Scenarios · 2021 · Rao, Sughosh J. et al. · archived
581. Underload on the Road: Measuring Vigilance Decrements During Partially Automated Driving · 2021 · McWilliams, Thomas et al. · archived
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585. Educating Younger Drivers in the Pacific Northwest Regarding the Dangers of Distracted Driving (Phase II) · 2015 · Hurwitz, David et al. · archived
586. Federal Highway Administration National Dialogue on Highway Automation: October 24-25, 2018 Operations Workshop Summary · 2019 · Kay, Michael et al. · archived
587. Guided Attention For Autonomous System Supervision ↗ · 2012 · Cook, Maia B. et al. · indexed
588. 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
589. Distraction of Connected Vehicle Human–Machine Interface for Truck Drivers ↗ · 2020 · Yang, Guangchuan et al. · indexed
590. Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review ↗ · 2024 · Fu, Shichen et al. · indexed
591. Perception and Control for Connected and Automated Vehicles · 2020 · Sciarretta, Antonio et al. · archived
592. Transition of Control: Automation Giving Back Control to the Driver · 2021 · Willemsen, Dehlia et al. · archived
593. The effect of varying levels of vehicle automation on drivers' lane changing behaviour. · 2018 · Madigan, Ruth et al. · archived
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595. A conceptual framework for requirement specification and evaluation of active safety functions ↗ · 2010 · Aust, Mikael Ljung et al. · indexed
596. Wake Up and Take Over! The Effect of Fatigue on the Take-over Performance in Conditionally Automated Driving ↗ · 2018 · Feldhutter, Anna et al. · indexed
597. Toward Shared Control Between Automated Vehicles and Users · 2020 · Terken, Jacques et al. · archived
598. Explanation Needs in Automated Driving: Insights from German Driving Education and Vehicle Acquisition ↗ · 2024 · Manger, Carina et al. · indexed
599. Intention to use a fully automated car: Attitudes and a priori acceptability · 2014 · Payre, William et al. · archived
600. Assessing Distraction Potential of Augmented Reality Head-Up Displays for Vehicle Drivers ↗ · 2022 · Kim, Hyungil et al. · indexed
601. Generalized model for driver activity recognition in automated vehicles using pressure sensor array · 2022 · Nobari, Khazar Dargahi et al. · archived
602. Comparative safety analysis of take-over control mechanisms of conditionally automated vehicles ↗ · 2025 · Karimi, Arastoo et al. · indexed
603. Mental workLoad Accumulation Effect of Mobile Phone Distraction in L2 Autopilot Mode · 2022 · Zhao, Hongfei et al. · archived
604. Haptic shared control: smoothly shifting control authority? · 2011 · Abbink, David A. et al. · archived
605. Evaluation of Ambient Light Displays for Requests to Intervene and Minimal Risk Maneuvers in Highly Automated Urban Driving ↗ · 2020 · Feierle, Alexander et al. · indexed
606. 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
607. Towards guidelines and verification methods for automated vehicle HMIs · 2018 · Naujoks, Frederik et al. · archived
608. The autopilot paradox: public perception of sleeping while driving semi-automated cars ↗ · 2025 · Das, Subasish · indexed
609. The influence of time-criticality on Situation Awareness when retrieving human control after automated driving ↗ · 2013 · van den Beukel, Arie Paul et al. · indexed
610. Should Drivers Be Operating Within an Automation-Free Bandwidth? Evaluating Haptic Steering Support Systems With Different Levels of Authority ↗ · 2014 · Petermeijer, Sebastiaan M. et al. · indexed
611. Tunneled In ↗ · 2017 · Mok, Brian et al. · indexed
612. ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection · 2024 · Ma, Yunsheng et al. · archived
613. State-of-Knowledge on Distracted Driving Due to Portable Electronic Device Use: 2008 – 2022 Update [Traffic Tech] · 2024 · NHTSA · archived
614. Visual and cognitive demands of using Apple's CarPlay, Google's Android Auto and five different OEM infotainment systems · 2018 · Cooper, JM et al. · archived
615. Influences of Level 2 Automated Driving on Driver Behaviors: A Comparison With Manual Driving ↗ · 2023 · Yang, Bo et al. · indexed
616. Highly automated driving with a decoupled steering wheel ↗ · 2014 · Kerschbaum, Philipp et al. · indexed
617. Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI for Providing Request-to-Intervene Trigger Information · 2023 · Matsuo, Ryuji et al. · archived
618. Driver Distraction: Evaluation with Event Detection Paradigm ↗ · 2003 · Greenberg, Jeff et al. · indexed
619. The challenge of ADAS assessment: A scale for the assessment of the HMI of advanced driver assistance technology · 2018 · Biondi, FN et al. · archived
620. Transitioning back from SAE-L3 autonomy – comparing traded and shared control ↗ · 2020 · Abbink, David A. · indexed
621. Reaction Times When Switching From Autonomous to Manual Driving Control ↗ · 2016 · Funkhouser, Kelly et al. · indexed
622. Automated and Connected Vehicle Implications and Analysis · 2017 · Block, David et al. · archived
623. Driver Cognitive Distraction Recognition Based on Multi-Source Data from Simulated Driving Experiments ↗ · 2025 · Qu, Chixiong et al. · indexed
624. Coordinating State Policies, Laws, and Regulations for Automated Driving Systems Across New England · 2022 · Rodriguez, Greg et al. · archived
625. Analysis of driver visual attention when driving with different levels of haptic steering guidance ↗ · 2017 · Wang, Zheng et al. · indexed
626. Safety Concept for Autonomous Vehicles · 2016 · Reschka, Andreas · archived
627. Profiles in cell phone-induced driver distraction ↗ · 2011 · Strayer, DL et al. · indexed
628. Beyond Detection: A Systematic Review of Driver Passive Fatigue Prevention and Mitigation Strategies ↗ · 2025 · Rasouli, Shiva et al. · indexed
629. How to Counteract Driver Fatigue during Conditional Automated Driving—A Systematic Review ↗ · 2024 · Loew, Alexandra et al. · indexed
630. Driver Distraction Detection Using Artificial Intelligence and Smart Devices · 2024 · Papatheocharous, Efi et al. · archived
631. Autonomous Driving ↗ · 2017 · Walch, Marcel et al. · indexed
632. Visual and cognitive demands of manual and voice-based driving mode implementations on smartphones ↗ · 2023 · Monk, Chris et al. · indexed
633. Cocktail Party Effect& Attention Capture in Semi-Autonomous Driving · 2013 · Tobias, Crystal et al. · archived
634. Ontology based Scene Creation for the Development of Automated Vehicles · 2018 · Bagschik, Gerrit et al. · archived
635. Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis · 2017 · Engström, Johan et al. · archived
636. Classification of Level 2 Driving Events Observed on Public Roads · 2021 · Rao, Sughosh J. et al. · archived
637. Partial-autonomous frenzy: Driving a level-2 vehicle on the open road · 2017 · Biondi, F et al. · archived
638. (Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework · 2023 · Greer, Ross et al. · archived
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640. Driver Monitoring in the Context of Autonomous Vehicle ↗ · 2015 · Rahman Hamidur et al. · indexed
641. Mental Models in Motion: A Framework for Real-Time Evaluation of Drivers' Understanding of ADAS Features ↗ · 2025 · Alkurdi, Duha et al. · indexed
642. A framework for context-aware driver status assessment systems · 2013 · Craye, Céline · archived
643. Conduct-by-Wire : following a new paradigm for driving into the future ↗ · 2006 · Winner, Hermann et al. · indexed
644. The Interaction Between Highly Automated Driving and the Development of Drowsiness ↗ · 2015 · Schömig, Nadja et al. · indexed
645. Identification and Quantification of Hazardous Scenarios for Automated Driving · 2020 · Kramer, Birte et al. · archived
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647. Human Performance Consequences of Stages and Levels of Automation · 2013 · Onnasch, Linda et al. · archived
648. Traffic Safety and Human Behavior ↗ · 2017 · Shinar, David · indexed
649. Learning Latent Traits for Simulated Cooperative Driving Tasks · 2022 · DeCastro, Jonathan et al. · archived
650. “I’d like an Explanation for That!”Exploring Reactions to Unexpected Autonomous Driving ↗ · 2020 · Wiegand, Gesa et al. · indexed
651. Driver State Regulation via Real-Time Neurofeedback in Partially Automated Driving ↗ · 2020 · Nobari, Khazar Dargahi et al. · indexed
652. Situation awareness and driving performance in a simulated navigation task ↗ · 2007 · Ma, Ruiqi et al. · indexed
653. Investigating the roles of touchscreen and physical control interface characteristics on driver distraction and multitasking performance. · 2016 · Ferris, Thomas K. et al. · archived
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656. Examining Driver Takeover Decisions and Trust of AVs at Rural Intersections · 2026 · Morris, Nichole L. et al. · archived
657. Evaluate driver response to active warning system in level-2 automated vehicles ↗ · 2019 · Atwood, Jonathan R. et al. · indexed
658. Federal Highway Administration National Dialogue on Highway Automation: June 26-27, 2018 Policy and Planning Workshop Summary · 2019 · Kim, Anita et al. · archived
659. 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
660. The Future Driver: Exploring the Safety Challenges of Level 4 Automated Vehicles During Manual Control ↗ · 2025 · Andriola, Cesar et al. · indexed
661. Towards Understanding Human-Technology Migration: Internal Interaction in Automated Road Vehicles · 2025 · Weiser, Paul et al. · archived
662. Drowsiness Mitigation Through Driver State Monitoring Systems: A Scoping Review ↗ · 2024 · Ayas, Suzan et al. · indexed
663. Effect of different alcohol levels on take-over performance in conditionally automated driving · 2018 · Wiedemann, Katharina et al. · archived
664. Autopilot, Mind Wandering, and the Out of the Loop Performance Problem ↗ · 2017 · Gouraud, Jonas et al. · indexed
665. Investigation into Legislative Action Needed to Accommodate the Future Safe Operation of Autonomous Vehicles in the State of Louisiana · 2016 · Wilmot, Chester G. et al. · archived
666. Drowsiness in Conditional Automation: Proneness, diagnosis and driving performance effects ↗ · 2016 · Gonçalves, Joel et al. · indexed
667. Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles ↗ · 2021 · Mahajan, Kirti et al. · indexed
668. Missing no Interaction—Using STPA for Identifying Hazardous Interactions of Automated Driving Systems · 2018 · Abdulkhaleq, Asim et al. · archived
669. Encountering Automation Surprise in Everyday Automated Driving: An Exploratory Phenomenological Inspired Study Using A Wizard‐of‐Oz Vehicle on Real Motorways ↗ · 2025 · Dong, Haoyu et al. · indexed
670. Automated Road Transport Systems (ARTS)—The Safe Way to Integrate Automated Road Transport in Urban Areas · 2015 · Alessandrini, Adriano et al. · archived
671. Connected and Autonomous Vehicles 2040 Vision · 2014 · Mashayekh, Yeganeh et al. · archived
672. Which accuracy levels of positioning technologies do drivers really need in connected vehicle settings for safety? · 2021 · Du, Na et al. · archived
673. Three Decades of Driver Assistance Systems: Review and Future Perspectives ↗ · 2014 · Bengler, Klaus et al. · indexed
674. Automation · 2020 · NHTSA et al. · archived
675. Toward a Theory of Situation Awareness in Dynamic Systems ↗ · 1995 · Endsley, Mica R. · indexed
676. Aiding Automated Shuttles with Their Driving Tasks as an On-Board Operator: A Case Study on Different Automated Driving Systems in Three Living Labs · 2024 · Schrank, Andreas et al. · archived
677. Impact of take-over control mechanisms on merging operations of conditionally automated vehicles ↗ · 2025 · Karimi, Arastoo et al. · indexed
678. Determining Sample Measures of Distracted Driving, Distracted Pedestrian Activities and Impacts of Such Behavior on Traffic Operations at Signalized Intersections · 2022 · Abou-Senna, Hatem et al. · archived
679. Proposal of an Autonomous Vehicle Control Architecture ↗ · 2021 · Pozna, Claudiu Radu et al. · indexed
680. Driver distraction by digital billboards? Structural equation modeling based on naturalistic driving study data: A case study of Iran ↗ · 2020 · Sheykhfard, Abbas et al. · indexed
681. Active and passive fatigue in simulated driving: Discriminating styles of workload regulation and their safety impacts. · 2013 · Saxby, Dyani et al. · archived
682. Supporting Situational Awareness in VANET Attack Scenarios · 2022 · Almani, Dimah et al. · archived
683. Type-o-Steer: Reimagining the Steering Wheel for Productive Non-Driving Related Tasks in Conditionally Automated Vehicles ↗ · 2019 · Schartmüller, Clemens et al. · indexed
684. Driver-Automation Cooperation Oriented Approach for Shared Control of Lane Keeping Assist Systems · 2019 · Sentouh, Chouki et al. · archived
685. Towards an Integrated Adaptive Automotive HMI for the Future · 2011 · Amditis, Angelos et al. · archived
686. Cellular Phones and Driver Distraction ↗ · 2008 · Strayer, David L. et al. · indexed
687. The Driver Distraction Detection Algorithm AttenD ↗ · 2017 · Kircher, Katja et al. · indexed
688. Prediction of take-over time in highly automated driving by two psychometric tests · 2015 · Körber, Moritz et al. · archived
689. Measuring cognitive distraction in the automobile · 2013 · Strayer, DL et al. · archived
690. Earcons to reduce mode confusions in partially automated vehicles: Development and application of an evaluation method · 2023 · Monsaingeon, Noé et al. · archived
691. Investigating the Effects of Alcohol Consumption on Manual and Automated Driving: A Systematic Review · 2024 · Dong, Miaomiao et al. · archived
692. Unsettled Issues in Remote Operation for On-road Driving Automation ↗ · 2021 · Beiker, Sven · indexed
693. Mitigating undesirable emergent behavior arising between driver and semi-automated vehicle · 2020 · Melman, Timo et al. · archived
694. Improving Usefulness of Automated Driving by Lowering Primary Task Interference through HMI Design ↗ · 2017 · Naujoks, Frederik et al. · indexed
695. The Effect of Fatigue on Take-over Performance in Urgent Situations in Conditionally Automated Driving ↗ · 2019 · Feldhutter, Anna et al. · indexed
696. From Here to Autonomy ↗ · 2016 · Endsley, Mica R. · indexed
697. Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline · 2022 · Zhang, Yangtao et al. · archived
698. The impact of speech-based assistants on the driver's cognitive distraction ↗ · 2022 · Loew, Alexandra et al. · indexed
699. International Perspective ↗ · 2016 · Caird, Jeff K. et al. · indexed
700. Cognitive Cars: A New Frontier for ADAS Research ↗ · 2011 · Li, Li et al. · indexed
701. A Study on Functional Safety, SOTIF and RSS from the Perspective of Human-Automation Interaction ↗ · 2021 · Zhang, You et al. · indexed
702. Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality ↗ · 2021 · Du, Na et al. · indexed
703. Quantifying Distraction Potential of Augmented Reality Head-Up Displays for Vehicle Drivers ↗ · 2018 · Kim, Hyungil et al. · indexed
704. The Effect of Haptic Support Systems on Driver Performance: A Literature Survey ↗ · 2015 · Petermeijer, Sebastiaan M. et al. · indexed
705. Impact des situations d'attention partagée sur le traitement de l'information chez les conducteurs novices ↗ · 2010 · Hamama, H. · indexed
706. Considering knowledge gaps for automated driving in conventional traffic ↗ · 2016 · G, AROEN M et al. · indexed
707. Distraction Effects of Manual Texting and Voice Messaging When Approaching Pedestrian Crossings on Urban Roads: a Driving Simulator Study · 2024 · Calvi, Alessandro · archived
708. Trust in Level 3 Automated Vehicles: A Systematic Literature Review ↗ · 2025 · Alkurdi, Duha et al. · indexed
709. Timing of unstructured transitions of control in automated driving ↗ · 2015 · Mok, Brian et al. · indexed
710. Possible applications for gestures while driving · 2018 · Zöller, Ilka et al. · archived
711. Accelerating Understanding of Human Response to Automation Failure ↗ · 2024 · Loft, Shayne · indexed
712. Driving in an Increasingly Automated World – Approaches to Improve the Driver-automation Interaction ↗ · 2015 · Stockert, Sonja et al. · indexed
713. Automated Driving Systems’ Communication of Intent with Shared Road Users · 2021 · Jenness, James et al. · archived
714. Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems · 2014 · Da Lio, Mauro et al. · archived
715. Influences of Different Traffic Information on Driver Behaviors While Interacting with Oncoming Traffic in Level 2 Automated Driving ↗ · 2022 · Yang, Bo et al. · indexed
716. Understanding Drivers’ Steering Behavior: Chain And One-Time Corrections ↗ · 2018 · DinparastDjadid, Azadeh et al. · indexed
717. Distracted Driving Among Newly Licensed Teen Drivers · 2012 · AAA Foundation for Traffic Safety · archived
718. Lane-Change Response to Infrastructure Warning About Lane Closure in a Mixed Vehicle Fleet · 2025 · Svancara, Austin et al. · archived
719. Opportunities and Challenges in Cooperative Road Vehicle Automation · 2021 · Shladover, Steven E. · archived
720. Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation ↗ · 2022 · Domeyer, Joshua E. et al. · indexed
721. A system of systems framework: Cooperative Maneuvers Manager for Autonomous Vehicles · 2018 · Assaad, Mohamad Ali et al. · archived
722. Human–Machine Interaction in Automated Vehicles: The ABV Project ↗ · 2015 · Sentouh, Chouki et al. · indexed
723. Automated drivability: Toward an assessment of the spatial deployment of level 4 automated vehicles ↗ · 2020 · Soteropoulos, Aggelos et al. · indexed
724. A temporal analysis of safety drivers taking back control in public roadway automated driving trials ↗ · 2019 · Corcoran, Nicole et al. · indexed
725. Assessing public perception of self-driving cars ↗ · 2019 · Hewitt, Charlie et al. · indexed
726. Models of automation proportion in human-in-the-loop systems and operator situation awareness responses ↗ · 2025 · Liu, Y. et al. · indexed
727. Gestaltungsdimensionen der Kommunikation von automatisierten Fahrzeugen und anderen Verkehrsteilnehmenden Design dimensions of the communication between automated vehicles and other road users · 2020 · Joisten, Philip et al. · archived
728. Intermodal differences in distraction effects while controlling automotive user interfaces ↗ · 2001 · Geiger, Michael et al. · indexed
729. Effect of System Capability Verification on Conflict, Trust, and Behavior in Automated Vehicles · 2022 · Woide, Marcel et al. · archived
730. The limits of highly autonomous vehicles: an uncertain future ↗ · 2019 · Endsley, Mica R. · indexed
731. Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors · 2020 · Feierle, Alexander et al. · archived
732. Is trust a belief, observation, or state: Results from an active inference analysis of driver-automation transitions of control ↗ · 2023 · Wei, Ran et al. · indexed
733. Manipulating music to communicate automation reliability in conditionally automated driving: A driving simulator study ↗ · 2021 · Chen, Kuan-Ting et al. · indexed
734. Level of automation effects on performance, situation awareness and workload in a dynamic control task ↗ · 1999 · Endsley, Mica R. et al. · indexed
735. Are child occupants a significant source of driving distraction? ↗ · 2011 · Koppel, Sjaan et al. · indexed
736. Counteracting driver fatigue in the context of conditional automated driving: an individualized and overarching approach ↗ · 2026 · Loew, Alexandra et al. · indexed
737. Supporting Drivers of Partially Automated Cars through an Adaptive Digital In-Car Tutor · 2020 · Boelhouwer, Anika et al. · archived
738. Automated Driving: Human-Factors Issues and Design Solutions ↗ · 2012 · Saffarian, M. et al. · indexed
739. Intelligent Vehicle Initiative Forum : proceedings · 1997 · NHTSA · archived
740. Cognitive Biases in User Interaction with Automated Vehicles: The Influence of Explainability and Mental Models ↗ · 2025 · Manger, Carina et al. · indexed
741. Survey on Teleoperation Concepts for Automated Vehicles · 2022 · Majstorovic, Domagoj et al. · archived
742. Cell phone-related driver distraction: Habits predict behavior over and above the theory of planned behavior variables ↗ · 2023 · Demir, Basar et al. · indexed
743. “Do You Want to Drive Together?” - A Use Case Analysis on Cooperative, Automated Driving. ↗ · 2023 · Malve, Bhavana et al. · indexed
744. Using a user-independent approach for automotive human-machine interface assessment · 2018 · Biondi, F et al. · archived
745. Designing Autonomy in Cars: A Survey and Two Focus Groups on Driving Habits of an Inclusive User Group, and Group Attitudes Towards Autonomous Cars · 2017 · Politis, Ioannis et al. · archived
746. Roadside advertising and the distraction of driver’s attention · 2017 · Adam, Tarnowski et al. · archived
747. Towards Mindless Stress Regulation in Advanced Driver Assistance Systems: A Systematic Review ↗ · 2020 · Béquet, Adolphe J. et al. · indexed
748. Finding windows of opportunity: How drivers adapt to partial automation safeguards over time ↗ · 2025 · Mueller, Alexandra S. et al. · indexed
749. Supervising High Degree Automation in Simulated Air Traffic Control ↗ · 2018 · Bowden, Vanessa et al. · indexed
750. Effects of roadside distractors on performance of drivers with and without attention deficit tendencies ↗ · 2018 · Shaw, F. Atiyya et al. · indexed
751. Driving Distractions Perceptions among Young Drivers in an Urban Area of Shah Alam · 2022 · Kamaluddin, Noor Azreena et al. · archived
752. Impact of Relevance and Distraction on Driving Performance and Visual Attention in a Simulated Driving Environment ↗ · 2013 · Garrison, Teena M. et al. · indexed
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754. Text and Voice Message Distraction Detection: A Machine Learning Approach Using Vehicle Trajectory Data ↗ · 2024 · Taherpour, Abolfazl et al. · indexed
755. The effects of displaying availability sections of an automated driving function ↗ · 2023 · Danner, Simon et al. · indexed
756. In-Vehicle Display Icons and Other Information Elements: Conduct Preliminary Assessment of Visual Symbols · 1999 · Lee, John D. et al. · archived
757. A transforming steering wheel for highly automated cars ↗ · 2015 · Kerschbaum, Philipp et al. · indexed
758. Automotive Speech-Recognition - Success Conditions Beyond Recognition Rates · 2000 · Bengler, Klaus · archived
759. Automation's Not Perfect But Neither Are We: Unveiling Illusionary Control And Automation Bias In Automated Driving ↗ · 2023 · Manger, Carina et al. · indexed
760. A Human Factors Perspective on Ethical Concerns of Vehicle Automation ↗ · 2016 · Kumfer, Wesley J. et al. · indexed
761. Contextual Analysis of Strategies and Interaction Motivations with Smartphones in Vehicles ↗ · 2016 · Quaresma, Manuela et al. · indexed
762. Electronic Device Use: A Review of the Literature on Addictive Behaviors · 2023 · Hoekstra-Atwood, Liberty et al. · archived
763. Balancing Safety, Efficiency, and Sustainability: A Survey of Modeling Tools for Autonomous Vehicles Interactions ↗ · 2026 · Sarkandi, Golnoosh et al. · indexed
764. Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems ↗ · 2015 · Lam, Chi-Pang et al. · indexed
765. Vehicle Connectivity and Automation: A Sibling Relationship · 2020 · Ha, Paul et al. · archived
766. Persuading the Driver ↗ · 2019 · Paraschivoiu, Irina et al. · indexed
767. The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency · 2019 · Kraus, Johannes et al. · archived
768. Cognitive workload using interactive voice messaging systems ↗ · 2016 · Coleman, JR et al. · indexed
769. Trust, cognitive control, and control ↗ · 2006 · Rajaonah, Bako et al. · indexed
770. Formalizing Human Machine Communication in the Context of Autonomous Vehicles · 2020 · Gopalswamy, Swaminathan et al. · archived
771. Sharing Control With Haptics ↗ · 2012 · Mulder, Mark et al. · indexed
772. Conveying Uncertainties Using Peripheral Awareness Displays in the Context of Automated Driving ↗ · 2019 · Kunze, Alexander et al. · indexed
773. Human-Centered AI to Support an Adaptive Management of Human-Machine Transitions with Vehicle Automation · 2020 · Bellet, Thierry et al. · archived
774. Control Transferring between Automated and Manual Driving using Shared Control ↗ · 2017 · Saito, Takahiro et al. · indexed
775. Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities · 2025 · Calvo, Jose et al. · archived
776. CooperationCaptcha ↗ · 2019 · Walch, Marcel et al. · indexed
777. The Impact of Load on Dynamic versus Static Situational Knowledge While Driving ↗ · 2009 · Clegg, Benjamin A. · indexed
778. Secondary Tasks and Autonomous Vehicles ↗ · 2019 · Jones, Vanessa et al. · indexed
779. Actions speak louder: Effects of a transforming steering wheel on post-transition driver performance ↗ · 2017 · Mok, Brian et al. · indexed
780. HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving · 2022 · Gopinath, Deepak et al. · archived
781. How Do Drivers Behave in a Highly Automated Car? ↗ · 2009 · Merat, Natasha et al. · indexed
782. Understanding Automation Surprise in Non-Critical Highly Automated Driving: An Initial On-Road Probing Study · 2024 · Dong, Haoyu et al. · archived
783. Influence of Prior General Knowledge on Older Adults’ Takeover Performance and Attitude Toward Using Conditionally Automated Driving Systems ↗ · 2021 · Zhou, Huiping et al. · indexed
784. Automated driving: Safety blind spots ↗ · 2017 · Noy, Ian Y. et al. · indexed
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786. A cross-methodological review on the safety effects of partial vehicle automation ↗ · 2026 · de Winkel, Ksander N et al. · indexed
787. Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment · 2025 · Hajian, Gelareh et al. · archived
788. The Effect of Secondary Cognitive Task Difficulty on Headway Maintenance and Perceived Workload While Using Lane Keeping Systems ↗ · 2019 · Liang, Nade et al. · indexed
789. Human-centered design and evaluation of a workplace for the remote assistance of highly automated vehicles · 2024 · Schrank, Andreas et al. · archived
790. Fast Detection of Handheld Phone-Distracted Driving by Sensing the Driver's Hand-Grip ↗ · 2024 · Wang, Ruxin et al. · indexed
791. Towards a vision-based system exploring 3D driver posture dynamics for driver assistance: Issues and possibilities ↗ · 2010 · Tran, Cuong et al. · indexed
792. Enhancing Driver Distraction Recognition Using Generative Adversarial Networks ↗ · 2020 · Ou, Chaojie et al. · indexed
793. Research review of potential safety effects of electronic billboards on driver attention and distraction · 2001 · Farbry, J. et al. · archived
794. Research review of potential safety effects of electronic billboards on driver attention and distraction · 2001 · Farbry, J. et al. · archived
795. Adapting the Technology Readiness Level (TRL) Framework to Automated Vehicle Development ↗ · 2025 · Swaminathan, Sunder et al. · indexed
796. The Joy of Collaborating with Highly Automated Vehicles ↗ · 2020 · Wiegand, Gesa et al. · indexed
797. Literature review on recent international activity in cooperative vehicle–highway automation systems. · 2012 · Shladover, S.E. · archived
798. Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire · 2021 · Nordhoff, Sina et al. · archived
799. Operational Design Domain Monitoring with Uncertain Measurements · 2024 · Charmet, Thibault et al. · archived
800. A Review of Situation Awareness Assessment Approaches in Aviation Environments · 2019 · Nguyen, Thanh Thi et al. · archived
801. The Push vs Pull of Information between Autonomous Cars and Human Drivers ↗ · 2014 · Mok, Brian et al. · indexed
802. Design of automation for telerobots and the effect on performance, operator situation awareness, and subjective workload ↗ · 2000 · Kaber, David B. et al. · indexed
803. Learning in Mixed Traffic: Drivers’ Adaptation to Ambiguous Communication Depending on Their Expectations toward Automated and Manual Vehicles ↗ · 2023 · Miller, Linda et al. · indexed
804. Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs ↗ · 2008 · Parasuraman, Raja et al. · indexed
805. Influence of automation on mind wandering frequency in sustained attention · 2018 · Gouraud, Jonas et al. · archived
806. The Effects of Cell Phone Use and Automation on Driver Performance and Subjective State in Simulated Driving ↗ · 2012 · Neubauer, Catherine et al. · indexed
807. FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 3 · 2025 · Chaka, Michelle et al. · archived
808. Bringing smart transport to Texans : ensuring the benefits of a connected and autonomous transport system in Texas—final report. · 2016 · Kockelman, Kara M. et al. · archived
809. Customer-Relevant Properties of Autonomous Vehicle Concepts ↗ · 2020 · Schockenhoff, Ferdinand et al. · indexed
810. Conditionally Automated Vehicles and Cognitive Challenges: Assessing the Safety of Conditionally Automated Vehicles for Older Adults with Cognitive Challenges ↗ · 2024 · Hajian, Gelareh et al. · indexed
811. Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review ↗ · 2023 · Papatheocharous, Efi et al. · indexed
812. Mapping drivers’ mental models of adaptive cruise control to performance ↗ · 2021 · Gaspar, John et al. · indexed
813. Ontology-based context awareness for driving assistance systems · 2014 · Armand, Alexandre et al. · archived
814. Driving with Influence: Exploring Crash Factors of Automated Systems in Different Roadway Contexts ↗ · 2026 · Astle, W. Abram et al. · indexed
815. Driver Expectations of a Partial Driving Automation System in Relation to Branding and Training ↗ · 2022 · Singer, Jeremiah et al. · indexed
816. Look who's talking now: Implications of AV's explanations on driver's trust, AV preference, anxiety and mental workload · 2019 · Du, Na et al. · archived
817. Look who's talking now: Implications of AV's explanations on driver's trust, AV preference, anxiety and mental workload · 2019 · Haspiel, Jacob · archived
818. Mental model evolvement during drivers' first experience with conditionally automated driving systems in real-world traffic ↗ · 2026 · Schwindt-Drews, Sarah et al. · indexed
819. Modeling Distracted Driving: Analyzing Driver Gaze, Vehicle Positioning, and Psychological Response for Enhanced Traffic Safety ↗ · 2025 · Das, Subasish et al. · indexed
820. Motorists' preferences for different levels of vehicle automation ↗ · 2015 · Schoettle, Brandon et al. · indexed
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822. Towards the Unified Principles for Level 5 Autonomous Vehicles · 2021 · Wang, Jianqiang et al. · archived
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825. Paving the Way for Autonomous and Connected Vehicle Technologies in the Motor Carrier Industry · 2018 · Bernard Bracy, Jill M et al. · archived
826. Situated and sequential planning and prediction of human driving behavior as decision making support system · 2024 · Bejaoui, Abderahman et al. · archived
827. Overview of lane-keeping assist system based on human–machine cooperative control ↗ · 2021 · Zeng-ke, QIN et al. · indexed
828. Detailed Concept of Operations: Transportation Systems Management and Operations/Cooperative Driving Automation Use Cases and Scenarios · 2020 · Nallamothu, Sudhakar et al. · archived
829. Understanding Surveys of Public Sentiment Regarding Automated Vehicles: Summary of Results to Date and Implications of Past Research on the Dynamics of Consumer Adoption · 2019 · Hassol, Joshua et al. · archived
830. Memory for a Hazard is Interrupted by Performance of a Secondary In-Vehicle Task ↗ · 2014 · Borowsky, Avinoam et al. · indexed
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832. Behavioral Effects of Driver Distraction and Alcohol Impairment ↗ · 2005 · Rakauskas, Michael et al. · indexed
833. 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
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837. Keeping the driver in the loop: Dynamic feedback to support appropriate use of imperfect vehicle control automation ↗ · 2019 · Seppelt, Bobbie et al. · indexed
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839. Do the Branding, Tone, and Mode of Training Materials Influence Consumer Understanding of a Partially Automated Driving System? ↗ · 2021 · Singer, Jeremiah et al. · indexed
840. JOAN: a framework for human-automated vehicle interaction experiments in a virtual reality driving simulator · 2023 · Beckers, Niek et al. · archived
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842. Characterizing Technology's Influence on Distractive Behavior at Signalized Intersections · 2023 · Boni, Jobaidul Alam et al. · archived
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847. Sleep Inertia Countermeasures in Automated Driving: A Concept of Cognitive Stimulation ↗ · 2020 · Wörle, Johanna et al. · indexed
848. Reliable and transparent in-vehicle agents lead to higher behavioral trust in conditionally automated driving systems · 2023 · Taylor, Skye et al. · archived
849. Novel Auditory Displays in Highly Automated Vehicles: Sonification Improves Driver Situation Awareness, Perceived Workload, and Overall Experience · 2021 · Nadri, Chihab et al. · archived
850. Mitigating Driver's Distraction: Automotive Head-Up Display and Gesture Recognition System · 2019 · Lagoo, Ramesh et al. · archived
851. In-Vehicle Virtual Agents: A Systematic Review of Anthropomorphism and Its Impacts Paper Preparation ↗ · 2025 · Ban, Gayoung et al. · indexed
852. Regulating Teleoperation on Public Roads: Key Takeaways From an Expert Workshop ↗ · 2025 · Escher, Bengt et al. · indexed
853. Processing of complex traffic scenes for effective steering and collision avoidance: a perspective, from research on locomotion · 2024 · Wann, John P. · archived
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855. The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task ↗ · 2004 · Kaber, David B. et al. · indexed
856. Modeling driver behavior during complex maneuvers ↗ · 2013 · Lin, Theresa et al. · indexed
857. Cooperative Overtaking: Overcoming Automated Vehicles' Obstructed Sensor Range via Driver Help · 2019 · Walch, Marcel et al. · archived
858. Opportunities from past mistakes: Land potential en route to an automated mobility system ↗ · 2023 · Mitteregger, Mathias et al. · indexed
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860. Attention and Threat Detection: Warnings and How They Affect Takeover Performance ↗ · 2020 · Brunsen, Emily et al. · indexed
861. Enhancing Environmental Engagement with Natural Language Interfaces for In-Vehicle Navigation Systems ↗ · 2019 · Antrobus, Vicki et al. · indexed
862. Functional Safety Assessment of an Automated Lane Centering System · 2018 · Becker, Christopher et al. · archived
863. Good Vibes Only: A Comparative Study of Seat Vibration Concepts for Redirecting Driver Attention During Visual Distraction ↗ · 2023 · Manger, Carina et al. · indexed
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871. Editorial to the Special Issue on Road User Interactions in the Age of Vehicle Automation ↗ · 2026 · Lee, Yee Mun et al. · indexed
872. Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making · 2026 · Greer, Ross et al. · archived
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874. Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior · 2022 · Sarkar, Atrisha et al. · archived
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876. Connected and automated driving: The Long Level 4 ↗ · 2023 · Mitteregger, Mathias et al. · indexed
877. Beyond Traffic 2045 Reimagining Transportation: Technology, Disruptive Innovation, and the Future of Transportation · 2016 · Barami, Bahar et al. · archived
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880. Ability and skill graphs for system modeling, online monitoring, and decision support for vehicle guidance systems ↗ · 2015 · Reschka, Andreas et al. · indexed
881. Workload-Matched Adaptive Automation Support of Air Traffic Controller Information Processing Stages · 2002 · Kaber, David B. et al. · archived