mixed levels

Paper compares two or more levels.

1629 papers carry this automation level tag, of 8040 that declare a automation level at all (62594 papers carry any topic). Absence here means undeclared, not absent.

Where this appears in the corpus

Most common topics

Papers

Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

  1. Trends in U.S. Drivers’ Perceptions and Attitudes Toward Vehicle Automation, 2019–2025 · 2026 · AAA Foundation for Traffic Safety
  2. Human Performance in Vehicle Driving · 2026 · Abendroth, Bettina et al.
  3. Examining Drivers’ Sense of Agency When Operating Level 3 Automated Vehicles: A Driving Simulator Study · 2026 · Aiken, Heather et al.
  4. Counteracting driver fatigue in the context of conditional automated driving: an individualized and overarching approach · 2026 · Loew, Alexandra et al.
  5. NASA-TLX Workload Under SAE Level 2 and Level 3 Automation Versus Manual: A Meta Analysis approach · 2026 · Alhujailli, Ashraf
  6. Analyzing driving stability and cognitive demands in takeover of conditional automation with immersive virtual reality · 2026 · Ansar, Muhammad Sajjad et al.
  7. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis · 2026 · Arabian, Ali et al.
  8. Guiding drivers' attention to the right place at the right time during transitions from SAE level 2 driving system: Effects of warning directionality and audiovisual asynchrony · 2026 · Arabian, Ali et al.
  9. Applications of Driving Simulators in Intelligent Transportation Systems: Investigating Driver Behaviour under Variable Speed Limits · 2026 · Baiky, Behnood et al.
  10. How should drivers’ use of Automated Lane Keeping Systems (ALKS) be assessed? A study with experienced driving assessors in a Wizard-of-Oz vehicle · 2026 · Bazilinskyy, Pavlo et al.
  11. SAE Level 2 ADAS Performance in Specific Crash-Imminent Scenarios · 2026 · Beale, Gregory et al.
  12. The role of take-over cue informativity in interrupted take-over requests in a semi-automated driving scenario · 2026 · Berger, Alexander et al.
  13. What Is Worse than a Back-Seat Driver? A Remote One: Rethinking Teleoperation in Automated Vehicles · 2026 · Bogg, Adam et al.
  14. Unveiling Driver Workload Dynamics and Road Safety Risks in Assistant and Automated Driving Systems · 2026 · Bosurgi, Gaetano et al.
  15. A comparative study on the effects of mind-wandering, distraction, and fatigue on driving performance and physiological responses · 2026 · Chen, Jingrui et al.
  16. Behavioral adaptation in mixed traffic: the roles of AV penetration rate and human driving style · 2026 · Chen, Haitao et al.
  17. Mitigating aggression toward AVs in mixed traffic: Effects of automated driving styles and human driving styles · 2026 · Chen, Haitao et al.
  18. Analysis of Situational Acceptance and Objective Indicators During Automated Driving: A Driving Simulator Study · 2026 · Li, Chenchang et al.
  19. Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis · 2026 · Chouchane, Hanna et al.
  20. Trust rises, attention falls: divergent effects of exposure and education in driving automation · 2026 · Chouchane, Hanna et al.
  21. An Investigation of Drowsy Lane Departures from Driving Simulator Studies · 2026 · Schwarz, Chris et al.
  22. Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving · 2026 · Cockram, Lewis et al.
  23. Human-Autonomy Teams: Driver Simulator Experiments for Level 3 Automated Driving Systems · 2026 · Correa-Jullian, Camila et al.
  24. The effect of prolonged conditionally automated driving on fatigue, physiological activity, and takeover performance: a driving simulator experiment · 2026 · Coyne, Rory et al.
  25. Effects of Visual Field Loss on Drivers' Explicit and Implicit Initial Trust Preferences: Full Driving Automation versus Themselves · 2026 · Cui, Zixin et al.
  26. Visual-Motor Coordination in Automated Driving: Effects of Temporal Urgency and Motor Demand on Intervention Behavior · 2026 · Cui, Kailin et al.
  27. Adaptations of drivers’ gaze behaviour during car-following as a function of vehicle automation, duration of use and prior driving experience · 2026 · Schnebelen, Damien et al.
  28. The Good, the Bot, and the User: Hybrid Automation to Harmonize Performance and Human Factors at the Intersection of Adaptive and Adaptable Systems · 2026 · De Bruyne, Jonas et al.
  29. When Driving Automation Exceeds Human Ability: Authoritative Control Interventions and their Implications for Human-Machine Interaction · 2026 · Dixon, Liza et al.
  30. Experience-centred lens on automation surprise in non-critical automated driving: findings from an on-road WoZ study · 2026 · Dong, Haoyu et al.
  31. Multimodal attention-guiding takeover alerts in autonomous driving: Comparing visual, auditory, and combined modalities · 2026 · Dong, Zhanxun et al.
  32. Tactile manual input driver-vehicle interface enabling non-driving-related tasks and emergency braking for conditionally automated vehicles · 2026 · Dong, Yichen et al.
  33. Threat-cued or action-cued? Effects of attention guidance strategy on decision-support in automated driving under complex takeover situations · 2026 · Dou, Jinzhen et al.
  34. Driver Risk Perception Assessment in Autonomous Takeover Scenarios Under NDRTs Immersion Based on WOA-LightGBM · 2026 · Duan, Min et al.
  35. An Approach to Transfer of Control Between Automated Vehicle and Driver · 2026 · Dubovsky, V. et al.
  36. MRDrive: An Open Source Mixed Reality Driving Simulator for Automotive User Research · 2026 · Ebel, Patrick et al.
  37. Eyes Off the Road: Where Drivers Look When ADAS Control Authority Changes · 2026 · Ekambaram Thondaiman, Ramkumaar et al.
  38. Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving · 2026 · Fernandez-Matellan, Raul et al.
  39. From Human Systems Integration to Human Systems Migration: First sketch from the automated driving system project MiRoVA · 2026 · Flemisch, Frank et al.
  40. Scenario Parameters for Fatigue Induction in Truck-Driving Simulators: A Systematic Review of Experimental Designs · 2026 · Fonseca, Tiago et al.
  41. Seeing the automation malfunction before it happens: designing information cues that support driver situation awareness · 2026 · Garakani, Golnoosh et al.
  42. The Impact of Transition Window Duration on Nominal Transitions of Control in Conditional Automation · 2026 · Gaspar, John et al.
  43. Linking Behaviour and Perception to Evaluate Meaningful Human Control over Partially Automated Driving · 2026 · George, Ashwin et al.
  44. Drivers have constrained cognitive resources under cognitive and visual distraction: Safety implications for transitions of control from vehicle automation · 2026 · Gonçalves, Rafael C. et al.
  45. How Multi-Tasking Ability Impacts Performance, Workload, Situation Awareness, Stress and Trust with Simulated Imperfect Automation. · 2026 · Greenwell-Barnden, JN et al.
  46. Multimodal TOR interfaces for L3 autonomous vehicles: a tradeoff analysis of driver trust, cognitive load, and takeover efficiency · 2026 · Guo, Qi et al.
  47. Risk level assessment of takeover behavior in L3 automated driving under grassland highway scenarios · 2026 · Guo, Min et al.
  48. The interactive effects of NDRT cognitive complexity and traffic density on takeover performance in level 3 automated driving: a multimodal EEG and behavioral study · 2026 · Guo, Qi et al.
  49. Driving style characteristics and user discomfort in urban automated driving: Insights from a context-based comfort dynamics analysis · 2026 · Hentschel, M. et al.
  50. 3D Risk Assessment Model of Non-driving-related Tasks in Level 3 Automated Driving · 2026 · Horáková, Miroslava et al.
  51. Psychological Empowerment on the Streets: Designing and Validating Multisensory Experiences in Simulated Autonomous Driving. · 2026 · Jeong E et al.
  52. Chatting with AI: enhancing the supervision safety of near-L3 automated driving by engaging in non-driving–related tasks · 2026 · Jiang, Tingwei et al.
  53. A Taxonomic Odyssey: Evolution, Criticisms, and Future Directions of Driving Automation Taxonomies – The Case of SAE J3016 · 2026 · Kim, Soyeon et al.
  54. Age-related changes in driving performance under driver assistance systems during curve negotiation · 2026 · Kim, Byungju et al.
  55. Are Drivers More Distracted with Level 2 Automated Technologies? A Naturalistic Driving Study Analysis of Frequency, Duration, and Proportion of Time Drivers Engage in Secondary Tasks · 2026 · Klauer, Sheila et al.
  56. Driver Engagement and Fully Shared Longitudinal Control Insights From Real Partially Automated Vehicles · 2026 · Köning, Lukas et al.
  57. Driver-Perception-Aware Shared Steering Control for Automated Vehicles: Balancing Safety and Comfort · 2026 · Koritala, Naveen K. et al.
  58. A cross-methodological review on the safety effects of partial vehicle automation · 2026 · de Winkel, Ksander N et al.
  59. A Comparative Safety Performance Evaluation of Automated Driving Systems and Advanced Driver Assistance Systems · 2026 · Kutela, Boniphace et al.
  60. Effects of Readiness Deprivation on Takeover With Varying Time Budget in Conditional Automated Driving Scenarios · 2026 · Lai, Hsueh-Yi et al.
  61. Extending Human–Machine Interaction Analysis from Autonomous Driving to Manned–Unmanned Vehicle Teaming: A Function-Specific Effectiveness Framework and the Partial-Autonomy Trap · 2026 · Lee, Giwhyun et al.
  62. Hazard perception in manual and hands-off Level 2 driving under daytime and after dark lighting conditions: A driving simulator study · 2026 · Lee, Yee Thung et al.
  63. With a Little Help From My Car: Sharing Automated Vehicle’s Situation Awareness Reduces Driver-Initiated Automation Disengagement Without Delaying Takeover Response Time · 2026 · Lee, Joonbum et al.
  64. Beyond distraction: unraveling touchscreen effects on driver takeover performance and visual attention dynamics in Level 3 automated driving · 2026 · Li, Jiateng et al.
  65. Physiological Assessment of Driver Trust in Automated Vehicles under Distinct Driving Styles · 2026 · Li, Yizheng et al.
  66. Toward Situation Awareness-Supportive In-Vehicle Agent Design for Collaborative Driving: Effects of Transparency and Visual Representation · 2026 · Lim, Yeonsu et al.
  67. A Novel Human–Machine Shared Control Strategy with Adaptive Authority Allocation Considering Scenario Complexity and Driver Workload · 2026 · Liu, Lijie et al.
  68. An eHMI Presenting Request-to-Intervene and Takeover Status of Level 3 Automated Vehicles to Support Surrounding Traffic Safety · 2026 · Liu, Hailong et al.
  69. Driver Takeover Performance under Different Driving Contexts and Non-Driving Tasks in Level 3 Automated Driving · 2026 · Liu, Meiqi et al.
  70. Enhancing safety in remote takeover of highly automated mining trucks: What are the different effects of audiovisual takeover requests under daytime and nighttime conditions? · 2026 · Liu, Dong et al.
  71. What Drivers Know and Think They Know During Takeover: Effects of Spatial Risk, Temporal Risk, and NDRT on Situation Awareness · 2026 · Lo, Wei-Hsiang et al.
  72. A Survey and Empirical Benchmarking of Grading Methods for Interactive Autonomous Driving Scenarios · 2026 · Ma, Runpu et al.
  73. Video entertainment to mitigate safety risks during prolonged automated driving: Impacts on cognitive load, fatigue, and takeover performance · 2026 · Ma, Jun et al.
  74. Visual exploration strategies of experienced and non-experienced drivers during the takeover of an automated vehicle · 2026 · Maëlle, Pelerin et al.
  75. The effect of navigation modalities on driver performance, workload and user experience: a simulator study · 2026 · Norell, Marius Brudvik et al.
  76. A Comparative Study on Situation Awareness While Reading in a Highly Automated Vehicle · 2026 · Mirnig, Alexander G. et al.
  77. Decision support for partial automation: Driver behavior and trust with different versions of automated lane change · 2026 · Monfort, Samuel S. et al.
  78. Examining Driver Takeover Decisions and Trust of AVs at Rural Intersections · 2026 · Morris, Nichole L. et al.
  79. Learning from Drivers: A Case-Based Reasoning Framework for Takeover Control in Conditionally Automated Vehicles · 2026 · Mostafavi, Ali et al.
  80. Influence of an Innovative HMI for Highly Automated Driving on Trust · 2026 · Rauh, Nadine et al.
  81. Understanding Driving Anxiety and Trust in Automated Vehicles: A Focus Group Study Across Age Groups · 2026 · Nadri, Chihab et al.
  82. Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers’ Trust, Monitoring, and Response · 2026 · Nkusi, Elena Malaika et al.
  83. User Acceptance of AI in Transport: The Case of SAE Level 3 Conditional Automated Driving · 2026 · Nordhoff, S. et al.
  84. Context-Dependent Assessment of Driving Dynamics and User Perception in Automated Driving · 2026 · Panzer, Anna et al.
  85. The Relationship between ADAS User Experience and Driver Attention: From an Automation Complacency Perspective · 2026 · Park, Se-Hyun et al.
  86. Optimal lateral acceleration for different levels of automated driving: a test track study of passenger evaluation for curve negotiation · 2026 · Peng, Chen et al.
  87. Takeover Response Time Prediction Model Based on Observable Behavior · 2026 · Qian, Tianyi et al.
  88. The Impact of Partial Automation and Cognitive Load on Drivers’ Visual Search Strategies in an Urban Driving Environment · 2026 · Qin, Hao et al.
  89. 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.
  90. Comprehensive Review of Driver Behaviour Studies in Traffic Safety Research · 2026 · rapri, Priyanka
  91. Calibration of car-following models of human driven vehicles interacting with automated vehicles in mixed traffic: a driving simulator experiment · 2026 · Reddy, Nagarjun et al.
  92. Driver Behavior in Mixed Traffic with Autonomous Vehicles · 2026 · Rezwana, Saki et al.
  93. Effects of Prolonged Monotonous Driving on Lane Change Performance, Visual Attention, and Highway Control · 2026 · Sahar, Tayyaba et al.
  94. Fault Condition and Familiarity Shape Evasive Performance in SAE Level 2 Driving Automation · 2026 · Schmitz, Maegan L. et al.
  95. Analyzing SHAP values of XGBoost algorithms to understand driving features affecting take-over time from vehicle alert to driver action · 2026 · Sekadakis, Marios et al.
  96. Temporal dynamics of gaze behavior around system activation: The role of trust, mental model, and prior experience in automated driving · 2026 · Seupke, Stephanie et al.
  97. Empirical Validation of Human-Centered Driving Style Parameterization in Highly Automated Vehicles · 2026 · Shah, Karan et al.
  98. From prediction to prevention: safety modeling of driver takeover time with mental workload, risk perception, and driving style in ramp scenarios · 2026 · Shao, Yichang et al.
  99. Modeling takeover decisions in driving automation: a multilevel drift–diffusion model (MDDM) framework integrating human, system, and environmental factors · 2026 · Sheng, Youyu et al.
  100. Benchmarking Advanced Tabular AI Models for Classifying SAE Automation Levels in Crash Data · 2026 · Somvanshi, Shriyank et al.
  101. Experiencing Automated Vehicles in Real-Life Affects Central Aspects of Drivers’ User Experience · 2026 · Brandenburg, Stefan et al.
  102. Task-Based AR-HUD in Autonomous Driving: Enhancing Driver Agency, Engagement, Attention, and Takeover Performance · 2026 · Sun, Bingxin et al.
  103. From Initial to Situational Automation Trust: The Interplay of Personality, Interpersonal Trust, and Trust Calibration in Young Males · 2026 · Tang, Menghan et al.
  104. Drivers’ Safety Perception in Autonomous Vehicle Road Sharing: A Knowledge-Segmented TPB and Ordered Logit Analysis · 2026 · Tang, Boxin et al.
  105. Interaction Breakdowns Between Older Drivers and Automated-Driving Features: A Mixed-Methods HCI Analysis · 2026 · Tusti, Anannya Ghosh et al.
  106. Crash Pattern Heterogeneity in Automated Vehicles Across Varying Levels of Automation · 2026 · Usman, Sheikh Muhammad
  107. Exploring the safety impacts of conditionally automated driving vehicles switching control to manual driving mode within mixed traffic · 2026 · Wang, Changshuai et al.
  108. From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al.
  109. The Importance of Flexible Automation in Simulated Submarine Track Management: Balancing Performance Under Normal and Failed Conditions · 2026 · Li, Wentao et al.
  110. Haptic Vibration as Mutual Assistance: Enhancing Driver-Automation Collaboration for Safer Takeovers in Conditional Automation · 2026 · Xu, Jinhui et al.
  111. Impact of Level 3 Automated Driving Technology on Road Work Zone Safety · 2026 · Xu, Zhepu et al.
  112. Assessing autonomous driving performance and environmental influencing factors using real-world operational trajectory data · 2026 · Yang, Han et al.
  113. Proactive Longitudinal Control to Assist Lane Changes of Human-Driven Vehicles in Mixed Traffic: Human-Emulation Approach · 2026 · Liu, Yongyang et al.
  114. The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study · 2026 · Cai, Yuan et al.
  115. A Takeover Authority Transfer Strategy Based on Driver State Boundaries · 2026 · Zhang, Wen et al.
  116. Effects of directional TOR interfaces on takeover performance: A protocol for a systematic review and meta-analysis · 2026 · Zhang, Wei et al.
  117. Investigation of driving safety in partial driving automation considering driving modes and drivers’ pre-drive states · 2026 · Zhang, Wei et al.
  118. From Prediction to Design: Using Context-Aware Graph Neural Networks and Explainable AI to Anticipate Transfer-of-Control · 2026 · Zhao, Zhouqiao et al.
  119. Acceptability and perceived safety of automated vehicle driving styles in mixed-autonomy traffic: Insights from driver-AV interaction · 2026 · Zhou, Lin et al.
  120. What Should Automated Vehicles Communicate to Human Drivers? Prioritizing External Human-Machine Interface Information Based on the Four-Sides Model · 2026 · Zhou, Di et al.
  121. Driving with Partial Driving Automation Systems: Developing Effective Training that Drivers Will Use · 2025 · AAA Foundation for Traffic Safety
  122. A scoping review of women's experiences and barriers in automated vehicle research. · 2025 · Abusafia, AHA et al.
  123. Virtual Reality for Autonomous Vehicles: A Review of Safety, Training, and Human–Machine Interaction · 2025 · Aldoski, Ziyad N.
  124. Mental Models in Motion: A Framework for Real-Time Evaluation of Drivers' Understanding of ADAS Features · 2025 · Alkurdi, Duha et al.
  125. Trust in Level 3 Automated Vehicles: A Systematic Literature Review · 2025 · Alkurdi, Duha et al.
  126. Traffic capacity constraints from level 3 control transitions · 2025 · Alms, Robert et al.
  127. Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles · 2025 · Gomaa, Amr et al.
  128. Asynchrony of Directional Auditory Warnings and Visual Information in Hands-on SAE Level 2 Automated Vehicles: Analysis of Driver Responses · 2025 · Arabian, Ali et al.
  129. Effects of directional takeover request interfaces on drivers’ gaze behaviour during transitions from automation: A systematic review and meta-analysis · 2025 · Arabian, Ali et al.
  130. Guiding drivers’ attention to the right place at the right time during transitions from SAE level 2 driving system: Effects of warning directionality and audiovisual asynchrony · 2025 · Arabian, Ali et al.
  131. Impact of take-over control mechanisms on merging operations of conditionally automated vehicles · 2025 · Karimi, Arastoo et al.
  132. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving · 2025 · Avetisyan, Lilit et al.
  133. Awakening the Disengaged: Can Driving-Related Prompts Engage Drivers in Partial Automation? · 2025 · Bai, Xiaolu et al.
  134. Quo-Vadis Multi-Agent Automotive Research? Insights from a Participatory Workshop and Questionnaire · 2025 · Bazilinskyy, Pavlo et al.
  135. The distraction potential of driving a partially automated vehicle through a construction zone · 2025 · Biondi, F et al.
  136. Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis · 2025 · Vasta, N et al.
  137. Investigating the interplay between cognitive workload and situation awareness during full driving automation · 2025 · Sahoo, P et al.
  138. Overloaded, underloaded or in control: How many automated vehicles can one person supervise? · 2025 · Bogg, Adam et al.
  139. Evaluation of the human interaction with automated vehicles on highways · 2025 · Chand, Cadell et al.
  140. Investigating Shifts in Driver Attention and Trust Across Manual and Autonomous Driving: Insights from Eye-Tracking Metrics · 2025 · Cai, Yuan et al.
  141. 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.
  142. Investigation of Key Automated Vehicle Human Factors Safety Issues Related to Infrastructure: Comparing Intersection Crossing Behaviors of Human Drivers and Automated Vehicles · 2025 · Calvo, Jose et al.
  143. Impact of anger-inducing situations on driver takeover behavior in highly automated vehicles · 2025 · Cazes, Robin et al.
  144. Flow or Distraction? Exploring Multimodal Patterns of Driver States in Automated Driving · 2025 · Chen, Pei-Ru et al.
  145. Is control necessary for drivers? Exploring the influence of human–machine collaboration modes on driving behavior and subjective perception under different hazard visibility scenarios · 2025 · Chen, Yongkang et al.
  146. Trust Dynamics in Driving Automation: The Effects of Driver Expectations and Error Consistency · 2025 · Cheng, Xiaoxuan “Alicia” et al.
  147. Introducing ROADS: A Systematic Comparison of Remote Control Interaction Concepts for Automated Vehicles at Road Works · 2025 · Colley, Mark et al.
  148. Supporting Users' Understanding of Driving Automation Systems: The Effect of Meaningful System Names and Responsibility-Focused Textual Reminders · 2025 · Czupi, Emma et al.
  149. Effects of Driving Experience and Traffic Density on the Performance of Takeover in Autonomous Driving · 2025 · Dai, Xuelong et al.
  150. Applying Mambaattention, Tabpfn, and Tabtransformers to Classify Sae Automation Levels in Crashes · 2025 · Das, Subasish et al.
  151. What Patterns Contribute to Autonomous Vehicle Crashes? A Study of Level 2 and 4 Automation via Association Rule Analysis · 2025 · Ding, Hongliang et al.
  152. Assessment of Driver Situation for Control Authority Transition from Conditionally Automated Vehicles using Chassis and Galvanic Skin Response Sensors · 2025 · Dogan, Daghan et al.
  153. 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.
  154. Human-machine cooperation strategies in game-theoretic scenarios within mixed traffic: A simulator study on driving styles · 2025 · Du, Na et al.
  155. Characterization of Human Driving Behaviors in Shared Vehicle Control Based on Level-k Cognitive Modeling · 2025 · Dudek, Aleksandra et al.
  156. Effects of Time Headway on Driving after Prolonged Automation Exposure: Evidence for Behavioral Adaptation · 2025 · Dudley, LeGrand E. et al.
  157. Evaluating Autonomous Vehicle Safety Countermeasures in Freeways Under Sun Glare · 2025 · Esmaeeli, Hamed et al.
  158. Analysis of the distraction impact on driving performance across driving styles: A driving simulator study in various speed conditions · 2025 · Faqani, Mobina et al.
  159. Real-World Observations and Human Factors Evaluation of AV Shuttle Operations · 2025 · Fox, Sarah et al.
  160. Investigating the Influence of Takeover Request Warning Methods on Driver Tension in Level 3 Automated Driving · 2025 · Fukuzawa, Taiga et al.
  161. Takeover and non-driving related task performance in conditional automated driving: EEG and behavior Parameters interaction · 2025 · Gao, Yuan et al.
  162. The Impact of Electrification and Partial Automation on Driver Speeding Behavior · 2025 · Gershon, Pnina et al.
  163. It Matters Who Is Behind The Wheel: Driver Monitoring Feature Analysis Using Explainable AI · 2025 · Gonçalves, Rafael Cirino et al.
  164. What makes a ready driver? A deep dive into the measurement and validation of readiness estimation for driver monitoring systems of partially automated (SAE level 2) vehicles · 2025 · Gonçalves, Rafael Cirino et al.
  165. The Impact of N-back-Induced Mental Workload and Time Budget on Takeover Performance · 2025 · Goodridge, Courtney Michael et al.
  166. Predicting Return-to-Manual Performance in Lower- and Higher-Degree Automation · 2025 · Griffiths, Natalie et al.
  167. Influence of color and icon encoding themed HMl on trust calibration in automated vehicles · 2025 · Guo, Qi et al.
  168. The Effect of Tactile Prompts During the Takeover Process of Autonomous Driving · 2025 · Guo, Sijia et al.
  169. Interactive Steering for Seamless Transition During Control Handover in Autonomous Driving · 2025 · Gurumoorthi, Adithyaa Rettaikudi et al.
  170. Conditionally Automated Vehicle Driving Performance Across Different Cognitive Groups · 2025 · Hajian, Gelareh et al.
  171. Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment · 2025 · Hajian, Gelareh et al.
  172. Effects of Cognitive Distraction and Driving Environment Complexity on Adaptive Cruise Control Use and Its Impact on Driving Performance: A Simulator Study · 2025 · Halin, Anaïs et al.
  173. DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving · 2025 · Halin, Anaïs et al.
  174. Learning from Disengagements: An Analysis of Safety Driver Interventions During Remote Driving · 2025 · Hans, Ole et al.
  175. A systematic review on test performance of the driver takeover process in automated driving · 2025 · Chen, Haolin et al.
  176. Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study · 2025 · Haselberger, Johann et al.
  177. Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study · 2025 · Haselberger, Johann et al.
  178. Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo et al.
  179. Safety of Mixed Traffic · 2025 · Huang, Chunxi et al.
  180. Ready to transition? Strategies to bring drivers back into the loop upon requests to intervene in conditionally automated driving · 2025 · Heinrich, Luisa Katharina et al.
  181. Effects of non-driving-related tasks on driving performance after takeover request in automated driving (Level 3): a simulator study · 2025 · Horáková, Miroslava et al.
  182. A Dataset on Takeover during Distracted L2 Automated Driving · 2025 · Hwang, Jiwoo et al.
  183. 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.
  184. Modeling the Impact of Automation on Driver Distraction: A Queuing Theory Approach · 2025 · Parker, Jah’inaya et al.
  185. Increasing system transparency through confidence information in cooperative, automated driving · 2025 · Peintner, Jakob et al.
  186. Individual differences in multi-tasking ability moderate the benefits of using low-degree automation · 2025 · Jayden Greenwell‐Barnden et al.
  187. A Hybrid Dynamic Model for Predicting Human Cognition and Reliance During Automated Driving · 2025 · Jeevanandam, Sibibalan et al.
  188. Explaining Takeover Requests: The Role of Hazard Type and Explanation Strategy in Conditionally Automated Driving · 2025 · Jeong, Subin et al.
  189. Modeling Driver Situational Awareness in Takeover Scenarios Using Multimodal Data and Machine Learning · 2025 · Jia, Lesong et al.
  190. Shared Control for Vehicle Lane-Changing with Uncertain Driver Behaviors · 2025 · Wu, Jiamin et al.
  191. Impact of non-driving related task types, request modalities, and automation on driver takeover: A meta-analysis · 2025 · Jin, Lisheng et al.
  192. Designing transparency for automated driving: Effects of ambient light cues and explanations on driver performance · 2025 · Huang, Jingyu et al.
  193. Haptic Icons: A Hands-On Approach to Haptic HMI in Automated Vehicles · 2025 · Sarabia, Joseba et al.
  194. Analysis of a Driving Simulator’s Steering System for the Evaluation of Autonomous Vehicle Driving · 2025 · Dols, Juan F. et al.
  195. Effects of Day/Night Driving and Non-Driving Task Engagement on Difference of Older Drivers’ Control Takeover, Vehicle Control, and Workload in Automated Driving · 2025 · Kang, Min-ju et al.
  196. Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving · 2025 · Liang, Kexin et al.
  197. Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance · 2025 · Liang, Kexin et al.
  198. 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.
  199. Defining Preventable Boundaries in Automated Driving Systems: A Driver Behavior Model for Scenario-Based Assessments · 2025 · Kitajima, Sou et al.
  200. But first let me see: Comparison of light cues after a take-over request in automated driving · 2025 · Kuhlmann, Kerstin et al.