gaze based attention detection

Inferring driver attention state specifically from eye and gaze signals: gaze direction, fixation location, on-road vs off-road glance classification, eyes-on-road monitoring, and gaze-zone or attention-buffer models that decide whether the driver is looking where they should. Unlike drowsiness_detection_algorithms (which targets fatigue/sleepiness) and distraction_detection_algorithms (which uses any modality and targets distraction broadly), this is restricted to ocular/gaze tracking as the input signal for an attention judgment.

235 paper(s) · ranked by relevance to this topic

1. A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding · 2023 · Sharma, Pavan Kumar et al. · archived
2. Comparison of Two Eye-Gaze Based Real-Time Driver Distraction Detection Algorithms in a Small-Scale Field Operational Test · 2009 · Kircher, Katja et al. · archived
3. DriveSAM: Cognitive Perspective on Driving Maneuvers Based on Drivers’ Attention Using Eye Gaze Data · 2023 · Kwakye, Kelvin et al. · archived
4. Detection and controlling of drivers' visual focus of attention ↗ · 2017 · Debnath, Partha Pratim et al. · indexed
5. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · Miller, Marty et al. · archived
6. Exploratory Development of Algorithms for Determining Driver Attention Status · 2024 · Herbers, Eileen et al. · archived
7. Comparison of Video-based Driver Gaze Region Estimation Techniques ↗ · 2022 · Yang, Tongxiao et al. · indexed
8. Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm · 2022 · Ahlstrom, Christer et al. · archived
9. Driver Inattention Detection based on Eye Gaze—Road Event Correlation ↗ · 2009 · Fletcher, Luke et al. · indexed
10. Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
11. Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification · 2015 · Fridman, Lex et al. · archived
12. Attention estimation by simultaneous observation of viewer and view ↗ · 2010 · Doshi, Anup et al. · indexed
13. Camera-Based Driver Monitoring System for Abnormal Behavior Detection · 2020 · Aljaafreh, Ahmad · archived
14. Looking at the Road When Driving Around Bends: Influence of Vehicle Automation and Speed · 2019 · Schnebelen, Damien et al. · archived
15. Visual Monitoring of Driver Inattention · 2008 · Bergasa, Luis M. et al. · archived
16. Considerations When Calculating Percent Road Centre From Eye Movement Data in Driver Distraction Monitoring · 2009 · Ahlstrom, Christer et al. · archived
17. Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-car data ↗ · 2017 · Seppelt, Bobbie et al. · indexed
18. A comprehensive safety analysis for gaze fixation of drivers to outside scene · 2022 · Sarkar, Abhijit · archived
19. Driver Gaze Tracking and Eyes Off the Road Detection System ↗ · 2015 · Vicente, Francisco et al. · indexed
20. The Driver Distraction Detection Algorithm AttenD ↗ · 2017 · Kircher, Katja et al. · indexed
21. Investigating the correspondence between driver head position and glance location · 2018 · Lee, Joonbum et al. · archived
22. Multi-Modal Vehicle Display Design and Analysis [Driving with Distractions] · 2004 · Cohen, J. et al. · archived
23. CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material) · 2022 · Shen, Yuan et al. · archived
24. Gaze Fixation System for the Evaluation of Driver Distractions Induced by IVIS · 2012 · Gil-Jiménez, Pedro et al. · archived
25. Model-based estimation of the state of vehicle automation as derived from the driver's spontaneous visual strategies · 2019 · Schnebelen, Damien et al. · archived
26. Improvement of Driving Simulator Eye Tracking Software · 2019 · Davis, Brian et al. · archived
27. Heatmap-Based Method for Estimating Drivers' Cognitive Distraction · 2020 · Musabini, Antonyo et al. · archived
28. Improving Methods to Measure Attentiveness through Driver Monitoring · 2022 · NHTSA · archived
29. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning · 2021 · Baee, Sonia et al. · archived
30. What Can Be Predicted from Six Seconds of Driver Glances? · 2017 · Fridman, Lex et al. · archived
31. Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation · 2017 · Louw, Tyron et al. · archived
32. Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism · 2021 · Zhu, Haibei et al. · archived
33. Analysis of Gaze Behavior to Measure Cognitive Distraction in Real-World Driving ↗ · 2018 · Yang, Shiyan et al. · indexed
34. An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems ↗ · 2023 · Liang, Nade et al. · indexed
35. Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use · 2025 · Halin, Anaïs et al. · archived
36. Potential for driver attention monitoring system development · 1984 · NHTSA · archived
37. Classification of Eye Movement and Its Application in Driving Based on a Refined Pre-Processing and Machine Learning Algorithm ↗ · 2021 · Li, Xiansheng et al. · indexed
38. Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets · 2022 · Kotseruba, Iuliia et al. · archived
39. Some On-Road Glances are More Equal Than Others: Measuring Engagement in the Driving Task ↗ · 2019 · Hoekstra-Atwood, Liberty et al. · indexed
40. Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance · 2024 · Biswas, Abhijat et al. · archived
41. A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers · 2013 · Dasgupta, Anirban et al. · archived
42. From Scene to Object: Text-Guided Dual-Gaze Prediction · 2026 · Ke, Zehong et al. · archived
43. Potential for driver attention monitoring system development · 1985 · Bishop, H. et al. · archived
44. Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards · 2025 · Shleibik, Yousra et al. · archived
45. How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving ↗ · 2012 · Liang, Yulan et al. · indexed
46. Behavioral Research and Practical Models of Drivers' Attention · 2021 · Kotseruba, Iuliia et al. · archived
47. Beyond the tangent point: Gaze targets in naturalistic driving ↗ · 2013 · Lappi, Otto et al. · indexed
48. Drivers Glance Like Lizards during Cell Phone Distraction in Assisted Driving ↗ · 2021 · Yang, Shiyan et al. · indexed
49. A Differential 2D Gaussian Ellipse-Based Eye Movement Analysis · 2025 · Zhang, Jiahao et al. · archived
50. Were they in the loop during automated driving? Links between visual attention and crash potential · 2017 · Louw, Tyron et al. · archived
51. Effects of an active visuomotor steering task on covert attention · 2019 · Tuhkanen, Samuel et al. · archived
52. How do Environmental Factors Affect Drivers' Gaze and Head Movements? · 2021 · Tavakoli, Arash et al. · archived
53. 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
54. Field and Simulator Evaluations of a PC-Based Attention Maintenance Training Program · 2011 · Thomas, F. Dennis et al. · archived
55. Car Drivers' Pattern of Eye Fixations on the Road and in the Laboratory ↗ · 1981 · Cohen, Amos S. · indexed
56. Characterizing Drivers' Peripheral Vision via the Functional Field of View for Intelligent Driving Assistance · 2023 · Biswas, Abhijat et al. · archived
57. Real-Time System for Monitoring Driver Vigilance ↗ · 2006 · Bergasa, L.M. et al. · indexed
58. Analyzing Gaze Data During Rest Time/Driving Simulator Operation Using Machine Learning · 2022 · Fujikake, Kazuhiro et al. · archived
59. Where to gaze during take-over: Eye gaze strategy analysis of different situation awareness and hazard perception levels ↗ · 2023 · Ding, Wen et al. · indexed
60. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system ↗ · 2011 · Jo, Jaeik · indexed
61. Driver eye-scanning behavior at intersections at night. · 2009 · Higgins, Laura L. et al. · archived
62. Looks Are (Almost) Everything: Where Drivers Look to Get Information ↗ · 2008 · Shinar, David · indexed
63. On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes ↗ · 2009 · Doshi, A. et al. · indexed
64. Individual Differences in Glance Patterns under Distraction in Level 2 Automated Driving ↗ · 2020 · Yang, Shiyan et al. · indexed
65. Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. ↗ · 2026 · Dheeraj Kashyap L et al. · indexed
66. Predicting driver behaviour at intersections based on driver gaze and traffic light recognition ↗ · 2020 · Rahman, Md. Junaedur et al. · indexed
67. Improving Work Zone Safety: Integrating VR-CARLA Co-simulation and Eye Tracking for Behavior Analysis of Drivers around Work Zones · 2025 · Zhang, Shuo et al. · archived
68. Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control · 2016 · Schmitt, Felix et al. · archived
69. Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving ↗ · 2021 · Zhou, Feng et al. · indexed
70. Gaze-eccentricity effects on automobile driving performance -- or -- Going where you look ↗ · 2010 · Readinger, W. O. et al. · indexed
71. Towards online detection of driver distraction: Eye-movement simulation based on a combination of vestibulo–ocular reflex and optokinetic reflex models ↗ · 2019 · Le, Anh Son et al. · indexed
72. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines ↗ · 2007 · Liang, Yulan et al. · indexed
73. Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions · 2010 · Flores, MarcoJavier et al. · archived
74. Driver Visual Behavior in the Presence of Commercial Electronic Variable Message Signs (CEVMS) · 2012 · Perez, William A. et al. · archived
75. A Review of Occlusion as a Tool to Assess Attentional Demand in Driving · 2021 · Kujala, Tuomo et al. · archived
76. Open Source Computer Vision Solution for Head and Gaze Tracking in a Driving Simulator Environment ↗ · 2015 · Caplow-Munro, Devin SJ et al. · indexed
77. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
78. A link between attentional function, effective eye movements, and driving ability. ↗ · 2016 · Mackenzie, Andrew et al. · indexed
79. Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving ↗ · 2021 · Liang, Nade et al. · indexed
80. Cognitive Distraction Detection Using Gaze and Pupil with an Interpretable Approach · 2025 · Tamura, Kimimasa et al. · archived
81. Real-time monitoring of driver distraction: State-of-the-art and future insights · 2023 · Michelaraki, Eva et al. · archived
82. Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle · 2020 · Gomaa, Amr et al. · archived
83. Gazing as actual parameter for drowsiness assessment in driving simulators · 2019 · Rumagit, Arthur M. et al. · archived
84. The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study ↗ · 2026 · Cai, Yuan et al. · indexed
85. Minimum Required Attention: A Human-Centered Approach to Driver Inattention ↗ · 2017 · Kircher, Katja et al. · indexed
86. Gaze dynamics reveal age-related physiological patterns across driving events ↗ · 2026 · Strle, Gregor et al. · indexed
87. Inference of large truck driver's intent to change lanes to pass a lead vehicle via analyses of driver's eye glance behavior in the real world ↗ · 2007 · Itoh, M. et al. · indexed
88. Evaluating the Effects of Secondary Tasks on Driver Gaze Duration: A Duration Modeling Approach ↗ · 2025 · Ali, Yasir et al. · indexed
89. Driver's lane keeping ability with eyes off road: Insights from a naturalistic study ↗ · 2012 · Peng, Yiyun et al. · indexed
90. Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al. · archived
91. A Preliminary Assessment of Rider/Driver Gaze Behaviour in Slovenian Urban Areas ↗ · 2022 · Gruden, Chiara et al. · indexed
92. On investigating drivers’ attention allocation during partially-automated driving · 2024 · Eddine, RJ et al. · archived
93. A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior ↗ · 2013 · Ahlstrom, Christer et al. · indexed
94. Attentional Biases during Steering Behavior · 2013 · Bieg, Hans-Joachim et al. · archived
95. The evaluation of eye-catching effect in freeway tunnel entrance zone based on fixation behavior characteristics ↗ · 2023 · Han, Lei et al. · indexed
96. An interactive driver assistance system monitoring the scene in and out of the vehicle ↗ · 2004 · Petersson, Lars et al. · indexed
97. Distraction Assessment Methods Based on Visual Behavior and Event Detection ↗ · 2008 · Victor, Trent et al. · indexed
98. Gaze Supervision for Mitigating Causal Confusion in Driving Agents · 2024 · Biswas, Abhijat et al. · archived
99. Analysis of Driver Gaze and Attention to Traffic Signs ↗ · 2022 · Shabani, Shabnam et al. · indexed
100. Impact of information bandwidth of in-vehicle technologies on drivers' attention maintenance performance: A driving simulator study ↗ · 2018 · Yamani, Yusuke et al. · indexed
101. Driver Inattention Monitoring System for Intelligent Vehicles: A Review ↗ · 2011 · Dong, Yanchao et al. · indexed
102. Objects guide human gaze behavior in dynamic real-world scenes · 2023 · Roth, Nicolas et al. · archived
103. Development and Assessment of a Driver Drowsiness Monitoring System · 2012 · NHTSA · archived
104. Detecting Critical Mismatched Driver Visual Attention During Lane Change: An Embedding Kernel Algorithm ↗ · 2024 · Xu, Jingbin et al. · indexed
105. Gaze and steering strategies while driving around bends with shoulders · 2022 · Mecheri, Sami et al. · archived
106. Use of Fixation Heat Maps to Evaluate Visual Behavior of Unfamiliar Drivers on Horizontal Curves ↗ · 2014 · Brimley, Bradford K. et al. · indexed
107. Models of overt attention ↗ · 2011 · Geisler, Wilson S. et al. · indexed
108. An Empirically Based Suggestion for Reformulating the Glance Duration Criteria in NHTSA's Visual-Manual Interaction Guidelines ↗ · 2013 · Ljung Aust, Mikael et al. · indexed
109. Evaluation of Intelligent School Zone Beacon and Vehicle-Cyclist Detection and Warning System · 2020 · Jain, Eakta et al. · archived
110. Evaluation of Eyes Off Road During L2 Activation on Uncontrolled Access Roadways · 2024 · Anderson, Gabrial T et al. · archived
111. The Static and Dynamic Analyses of Drivers’ Gaze Movement Using VR Driving Simulator ↗ · 2022 · Chung, Ji-Yong et al. · indexed
112. Sequential In-Vehicle Glance Distributions ↗ · 2014 · Yamani, Yusuke et al. · indexed
113. Behavioral Indicators of Drowsy Driving: Active Search Mirror Checks · 2022 · Meyer, Jason E. et al. · archived
114. The effects of focused attention training on the duration of novice drivers' glances inside the vehicle ↗ · 2011 · Pradhan, A.K. et al. · indexed
115. Computer Training Program Improves Teen Drivers’ Attention to the Road [Traffic Tech] · 2011 · NHTSA · archived
116. Training Novice Drivers to Shorten Distraction Time [Traffic Tech] · 2010 · NHTSA · archived
117. Crash risk associated with eyes-off-road duration by road control type and intersection type · 2025 · Han, Shu et al. · archived
118. Attention selection and task interference indriving: an action-oriented view ↗ · 2009 · Engström, Johan et al. · indexed
119. Prediction Performance of Lane Changing Behaviors: A Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator ↗ · 2019 · Deng, Qi et al. · indexed
120. Driver distraction detection and recognition using RGB-D sensor · 2015 · Craye, Celine et al. · archived
121. Road sign vision and driver behaviour in work zones · 2019 · Vignali, Valeria et al. · archived
122. Driver's visual attention to different categories of roadside advertising signs · 2019 · Costa, Marco et al. · archived
123. A Looming Crisis ↗ · 2014 · Liang, Yulan et al. · indexed
124. The influence of alcohol and automation on drivers visual behavior during test track driving · 2023 · Tivesten, Emma · archived
125. A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures ↗ · 2024 · Kolus, Ahmet · indexed
126. Shift the gaze ↗ · 2026 · Illgner, Johannes et al. · indexed
127. Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction · 2023 · Greer, Ross et al. · archived
128. Review of Eye-related Measures of Drivers’ Mental Workload ↗ · 2015 · Marquart, Gerhard et al. · indexed
129. Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network · 2026 · Scribano, Carmelo et al. · archived
130. A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations · 2021 · Mao, Runze et al. · archived
131. Off-Road Glance Behavior, Response Time to a Forward Collision Hazard, and Engagement Strategy Effects in Automated Driving ↗ · 2017 · Blommer, Mike et al. · indexed
132. Keep Your Scanners Peeled ↗ · 2016 · Hergeth, Sebastian et al. · indexed
133. A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments · 2025 · Dontoh, Anthony et al. · archived
134. Framework of Adaptive Driving: Linking Situation Awareness, Driving Goals, and Driving Intentions Using Eye-Tracking and Vehicle Kinetic Data ↗ · 2025 · Lai, Hsueh-Yi · indexed
135. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
136. Driver Monitoring System Using Computer Vision for Real-Time Detection of Fatigue, Distraction and Emotion via Facial Landmarks and Deep Learning. · 2026 · Zambrano, Tamia et al. · archived
137. Observed Driver Glance Behavior at Roadside Advertising Signs ↗ · 2004 · Beijer, Daan et al. · indexed
138. Review of real-time visual driver distraction detection algorithms ↗ · 2010 · Ahlström, Christer et al. · indexed
139. Influence of attentional capture on oculomotor control. · 1999 · Theeuwes, Jan et al. · archived
140. Analysis of Visual Scanning Patterns Comparing Drivers of Simulated L2 and L0 Systems ↗ · 2019 · Hatfield, Nathan et al. · indexed
141. Drowsy driver detection system using eye blink patterns · 2010 · Danışman, Taner et al. · archived
142. Relationship Between Gaze Behavior and Steering Performance for Driver–Automation Shared Control: A Driving Simulator Study ↗ · 2019 · Wang, Zheng et al. · indexed
143. Realtime Driver Drowsiness Detection Using Machine Learning ↗ · 2022 · Al Redhaei, Aneesa et al. · indexed
144. Evaluation of Cognitive Distraction in a Real Vehicle Based on the Reflex Eye Movement · 2018 · Son, Le Anh et al. · archived
145. Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach · 2014 · Čolić, Aleksandar et al. · archived
146. Camera-based drowsiness reference for driver state classification under real driving conditions ↗ · 2010 · Friedrichs, Fabian et al. · indexed
147. An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies [Tech Brief] · 2009 · NHTSA · archived
148. Real time and non-intrusive driver fatigue monitoring · 2005 · Zhu, Zhiwei et al. · archived
149. Determining Fixed Glance Duration for Visual Occlusion Research ↗ · 2011 · Chen, Huei-Yen Winnie et al. · indexed
150. Study of road safety from the position of driver information load ↗ · 2024 · Pugachev, I. N. et al. · indexed
151. Direct gaze captures visuospatial attention ↗ · 2005 · Senju, Atsushi et al. · indexed
152. Detecting Driver Fatigue With Eye Blink Behavior · 2024 · Akin, Ali et al. · archived
153. An Experimental Study on Drivers’ Eye Movement Behavior When Using an Automated Lane Change System ↗ · 2025 · Guan, Muhua et al. · indexed
154. Minding the Gap: Effects of an Attention Maintenance Training Program on Driver Calibration ↗ · 2020 · Unverricht, James et al. · indexed
155. Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety ↗ · 2007 · Trivedi, Mohan Manubhai et al. · indexed
156. Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures ↗ · 2022 · He, Dengbo et al. · indexed
157. Driver Distraction Using Visual-Based Sensors and Algorithms · 2016 · Fernández, Alberto et al. · archived
158. A Link Between Trust in Technology and Glance Allocation in On-Road Driving · 2017 · Geitner, Claudia et al. · archived
159. Impact of Video Advertising on Driver Fixation Patterns ↗ · 2004 · Smiley, Alison et al. · indexed
160. The role of visual attention in saccadic eye movements · 1995 · Hoffman, James E. et al. · archived
161. Theory-based Models of Attention in Visual Workspaces ↗ · 2016 · Steelman, Kelly S. et al. · indexed
162. Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko · archived
163. Impact of duration of monitoring before takeover request on takeover time with insights into eye tracking data ↗ · 2023 · Huang, Chao et al. · indexed
164. Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model ↗ · 2023 · Shajari, Arian et al. · indexed
165. Eye Movement of Chinese Experienced Drivers and Novice Drivers ↗ · 2012 · Jiang, Jun et al. · indexed
166. Can Pupillometry be used to Detect Driver Hazard Awareness? ↗ · 2024 · Tamura, Kimimasa et al. · indexed
167. Detecting driver fatigue through the use of advanced face monitoring techniques · 2001 · Veeraraghavan, Harini et al. · archived
168. Evaluation of Drivers’ Attention Level by a Driving Simulator ↗ · 2012 · Bartolozzi, Riccardo et al. · indexed
169. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches ↗ · 2009 · Tango, Fabio et al. · indexed
170. A Two-Point Visual Control Model of Steering ↗ · 2004 · Salvucci, Dario D et al. · indexed
171. An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields · 2025 · Bakheet, Samy et al. · archived
172. Modeling the Control of Attention in Visual Workspaces ↗ · 2011 · Steelman, Kelly S. et al. · indexed
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174. EyeSync - Real Time Integration of an Eye Tracker in a Driving Simulator Environment ↗ · 2016 · Loeb, Helen S. et al. · indexed
175. Eyes on the Approach: Eye Tracking Analysis of Pilot Scan Discipline During Simulated Instrument Landing System Approaches and Implications for Safety ETRA023 ↗ · 2026 · Fu, Bo · indexed
176. Effect of environmental and eye-tracking information: An Artificial Neural Network-based state machine approach for human driver intention recognition ↗ · 2022 · David, Ruth et al. · indexed
177. Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning ↗ · 2020 · Yang, Zhibo et al. · indexed
178. N-SEEV: A Computational Model of Attention and Noticing ↗ · 2009 · Steelman, Kelly S. et al. · indexed
179. In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour ↗ · 2011 · Rakotonirainy, Andry et al. · indexed
180. Examining the impact of ASE (automated speed enforcement) in work zones on driver attention : final report. · 2016 · Morris, Nichole et al. · archived
181. Optimize the Work Zone Safety with Spatial Information Technology and Eye Tracker · 2022 · Liu, Peng et al. · archived
182. The effects of task difficulty on gaze behaviour during landing with visual flight rules in low-time pilots · 2023 · Ayala, Naila et al. · archived
183. Driver impairment detection using decision tree based feature selection and classification ↗ · 2023 · Çetinkaya, Mert et al. · indexed
184. In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour ↗ · 2009 · Rakotonirainy, Andry et al. · indexed
185. Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety ↗ · 2023 · Safarov, Furkat et al. · indexed
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187. Auditory Global Positioning System and Advanced Driver Assistance Systems: A Safer Alternative to Bioptic Telescopes for Drivers Who Are Visually Impaired? ↗ · 2019 · Wilkinson, Mark E. et al. · indexed
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189. A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition · 2020 · Fasanmade, Adebamigbe et al. · archived
190. Driver Behavior Analysis for Safe Driving: A Survey ↗ · 2015 · Kaplan, Sinan et al. · indexed
191. Tracking drivers’ minds: Continuous evaluation of mental load and cognitive processing in a realistic driving simulator scenario by means of the EEG ↗ · 2023 · Wascher, Edmund et al. · indexed
192. Eye-tracking metrics for estimating workload and characterizing errors in conflict detection and resolution during simulated en route air-traffic control · 2025 · Navia, José A. et al. · archived
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194. Detection of driver manual distraction via image-based hand and ear recognition · 2020 · Li, Li et al. · archived
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199. Real-Time Driver-Drowsiness Detection System Using Facial Features · 2019 · Deng, Wanghua et al. · archived
200. A Computational Model of Attention/Situation Awareness ↗ · 2002 · McCarley, Jason S. et al. · indexed
201. Drowsiness monitoring based on driver and driving data fusion · 2011 · Daza, Iván García et al. · archived
202. Real-time monitoring of driver cognitive states: linking driving behavior to neural oscillations ↗ · 2026 · Alyan, Emad et al. · indexed
203. Distracting or informative? Examining signage for cyclists using eye-tracking · 2022 · Aasvik, Ole et al. · archived
204. How Facial Features Convey Attention in Stationary Environments · 2022 · Domantay, Janelle et al. · archived
205. Embodied Cognitive Architecture to Support Driver Performance ↗ · 2018 · Artifice, Andreia et al. · indexed
206. Rightward attentional bias in windshield displays: Implication towards external human machine interfaces for self-driving cars ↗ · 2017 · Liu, Qiang et al. · indexed
207. Towards a Near Infrared Spectroscopy-Based Estimation of Operator Attentional State · 2014 · Derosière, Gérard et al. · archived
208. Classification of visual and linguistic tasks using eye-movement features · 2014 · Coco, Moreno I. et al. · archived
209. Testing the effects of gaze distractors with invariant spatial direction on attention cueing · 2024 · Dalmaso, Mario et al. · archived
210. Attention and microsaccades: do attention shifts trigger new microsaccades or only bias ongoing microsaccades? ↗ · 2023 · Liu, Baiwei et al. · indexed
211. Social Cognition, Attention, and Eye Tracking ↗ · 2024 · Kawakami, Kerry et al. · indexed
212. Real-Time Gaze-Aware Cognitive Support System for Security Surveillance ↗ · 2020 · Marois, Alexandre et al. · indexed
213. What Are You Looking At? Moving toward an Attentional Timeline in Insomnia: A Novel Semantic Eye Tracking Study ↗ · 2013 · Woods, Heather et al. · indexed
214. Diagnostic Features of Emotional Expressions Are Processed Preferentially · 2012 · Scheller, Elisa et al. · archived
215. Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task · 2021 · Sciaraffa, Nicolina et al. · archived
216. Interactive effects between gaze direction and facial expression on attentional resources deployment: the task instruction and context matter · 2016 · Ricciardelli, Paola et al. · archived
217. Gaze-independent brain–computer interfaces based on covert attention and feature attention ↗ · 2011 · Treder, Matthias S. et al. · indexed
218. Performance Measure of Vehicle Onboard Vision System: An Interval Observer-based Approach · 2018 · Ifqir, Sara et al. · archived
219. To BE or Not to BE: Does the Plan to Fixate a New Region affect Scene Memory? ↗ · 2004 · Intraub, Helene et al. · indexed
220. Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration · 2018 · Fathaliyan, Alireza Haji et al. · archived
221. Inferring Visualization Task Properties, User Performance, and User Cognitive Abilities from Eye Gaze Data ↗ · 2014 · Steichen, Ben et al. · indexed
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223. Analysis of Traffic Organisation in the Kiss-and-Fly Zone of Kraków Airport: Eye-Tracking Study ↗ · 2024 · Pashkevich, Anton et al. · indexed
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