l3 conditional

System handles DDT, driver is fallback.

707 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

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Papers

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

  1. Effects of Long-Lead Monitoring Requests on Driver Trust, Forward Gaze Rate, and Takeover Performance in Level 3 Automated Driving · 2026 · Akahoshi, Sakura et al.
  2. Analyzing driving stability and cognitive demands in takeover of conditional automation with immersive virtual reality · 2026 · Ansar, Muhammad Sajjad et al.
  3. 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.
  4. User-Friendly Design of Human–machine Interaction of Driver Assistance Systems · 2026 · Bengler, Klaus et al.
  5. The role of take-over cue informativity in interrupted take-over requests in a semi-automated driving scenario · 2026 · Berger, Alexander et al.
  6. Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving · 2026 · Cockram, Lewis et al.
  7. Looking at Trust in Mediated Conditionally Automated Driving: Smooth vs. Close Driving Maneuvers and Initial Trust Groups · 2026 · Hollander, Cornelia et al.
  8. Visual-Motor Coordination in Automated Driving: Effects of Temporal Urgency and Motor Demand on Intervention Behavior · 2026 · Cui, Kailin et al.
  9. Modelling the Dynamics of Situation Awareness Recovery: The Impact of Graded Warning Strategies in Automated Driving Takeovers · 2026 · Ding, Yaonan et al.
  10. A bibliometric review of research on driver fatigue under conditional automated driving · 2026 · Ni, Dingan et al.
  11. When Driving Automation Exceeds Human Ability: Authoritative Control Interventions and their Implications for Human-Machine Interaction · 2026 · Dixon, Liza et al.
  12. 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.
  13. An Approach to Transfer of Control Between Automated Vehicle and Driver · 2026 · Dubovsky, V. et al.
  14. Do you trust what an automated vehicle shows you? The effects of presenting dynamic system certainty information on driver behavior · 2026 · George, Micah Wilson et al.
  15. Multimodal TOR interfaces for L3 autonomous vehicles: a tradeoff analysis of driver trust, cognitive load, and takeover efficiency · 2026 · Guo, Qi et al.
  16. Risk level assessment of takeover behavior in L3 automated driving under grassland highway scenarios · 2026 · Guo, Min et al.
  17. 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.
  18. 3D Risk Assessment Model of Non-driving-related Tasks in Level 3 Automated Driving · 2026 · Horáková, Miroslava et al.
  19. Incorporating different phases of situation awareness information into the design of advanced takeover requests for urgent takeover scenarios · 2026 · Lai, Hsueh-Yi et al.
  20. PILOT-DSM: Risk perception-aligned takeover prompting framework via coverage-gap assessment in conditionally automated driving · 2026 · Huang, Yexin et al.
  21. Towards Safer Automated Driving: Predicting Drivers with Long Takeover Time Using Random Forest and Human Factors · 2026 · Kim, Jungsook et al.
  22. Threat Analysis and Risk Assessment of the Takeover Request Component in Advanced Driver Assistance Systems for SAE Level 2–3 · 2026 · Kujovic, Adnan et al.
  23. Effects of Readiness Deprivation on Takeover With Varying Time Budget in Conditional Automated Driving Scenarios · 2026 · Lai, Hsueh-Yi et al.
  24. Beyond distraction: unraveling touchscreen effects on driver takeover performance and visual attention dynamics in Level 3 automated driving · 2026 · Li, Jiateng et al.
  25. Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Outcomes · 2026 · Liang, Kexin et al.
  26. A Systematic Review of Takeover System Design in Highly Automated Driving · 2026 · Liu, Tianrui et al.
  27. An eHMI Presenting Request-to-Intervene and Takeover Status of Level 3 Automated Vehicles to Support Surrounding Traffic Safety · 2026 · Liu, Hailong et al.
  28. Driver Takeover Performance under Different Driving Contexts and Non-Driving Tasks in Level 3 Automated Driving · 2026 · Liu, Meiqi et al.
  29. Mitigating Passive Fatigue in Conditional Automated Driving: Effects of Conversation tasks on Driver Arousal and Attention · 2026 · Meng, Xiao et al.
  30. Examining Driver Takeover Decisions and Trust of AVs at Rural Intersections · 2026 · Morris, Nichole L. et al.
  31. Learning from Drivers: A Case-Based Reasoning Framework for Takeover Control in Conditionally Automated Vehicles · 2026 · Mostafavi, Ali et al.
  32. User Acceptance of AI in Transport: The Case of SAE Level 3 Conditional Automated Driving · 2026 · Nordhoff, S. et al.
  33. RDAS: A Shared Control Strategy Considering Real-Time Driving Ability in Driver Takeover Tasks · 2026 · Qi, Zhenliang et al.
  34. Takeover Response Time Prediction Model Based on Observable Behavior · 2026 · Qian, Tianyi et al.
  35. When Takeovers Require Cognitive Control: Effects of Partial Automation and Cognitive Load on Driver-Initiated Responses to Traffic Hazards on Urban Roads · 2026 · Qin, Hao et al.
  36. Bayesian Multimodal Driver Readiness Estimation and Adaptive HMI for Safety-Critical Automated Driving · 2026 · Razm, Sobhan et al.
  37. Mental model evolvement during drivers' first experience with conditionally automated driving systems in real-world traffic · 2026 · Schwindt-Drews, Sarah et al.
  38. 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.
  39. 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.
  40. MUST: Smartwatch-based Multimodal Framework for Predicting Driver State and Takeover Performance · 2026 · Sheem, Seokyong et al.
  41. Driver-initiated takeover as self-regulation: A video-based study of how drivers assess automated driving situations to determine intervention needs · 2026 · Shen, Su et al.
  42. Modeling takeover decisions in driving automation: a multilevel drift–diffusion model (MDDM) framework integrating human, system, and environmental factors · 2026 · Sheng, Youyu et al.
  43. Striving for a balance between safety performance and driver acceptance in auditory takeover requests · 2026 · Shi, Jinlei et al.
  44. Adaptive Bounded-Rationality Modeling of Early-Stage Takeover in Shared-Control Driving · 2026 · Sun, Jian et al.
  45. Task-Based AR-HUD in Autonomous Driving: Enhancing Driver Agency, Engagement, Attention, and Takeover Performance · 2026 · Sun, Bingxin et al.
  46. A Modular Multi-Stream Perception and Deterministic Fusion Framework for Takeover Prompting in Autonomous Driving · 2026 · Thakkar, Vatsal
  47. Chain-Like Cognitive Processes in Human-Machine Co-Driving: Uncovering Causal-Chain Mechanisms of Driver Takeover Failure · 2026 · Wang, Jie et al.
  48. Toward Driver Stage-wise Takeover Behavior in Autonomous Driving: A Cognitive Process Modeling Approach for Adaptive Takeover Requests Design · 2026 · Wang, Jie et al.
  49. Haptic Vibration as Mutual Assistance: Enhancing Driver-Automation Collaboration for Safer Takeovers in Conditional Automation · 2026 · Xu, Jinhui et al.
  50. Impact of Level 3 Automated Driving Technology on Road Work Zone Safety · 2026 · Xu, Zhepu et al.
  51. A Takeover Authority Transfer Strategy Based on Driver State Boundaries · 2026 · Zhang, Wen et al.
  52. Effects of directional TOR interfaces on takeover performance: A protocol for a systematic review and meta-analysis · 2026 · Zhang, Wei et al.
  53. Context-Sensitive Auditory Takeover Warning Under Weather and Scenario Demands: A Driving-Simulator Study with Eye-Tracking Evidence · 2026 · Zhou, Hongmei et al.
  54. Traffic capacity constraints from level 3 control transitions · 2025 · Alms, Robert et al.
  55. Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles · 2025 · Gomaa, Amr et al.
  56. Comparative safety analysis of take-over control mechanisms of conditionally automated vehicles · 2025 · Karimi, Arastoo et al.
  57. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving · 2025 · Avetisyan, Lilit et al.
  58. Scenario as Specification: Structuring the Development and Deployment of Automated Driving · 2025 · Bouzouraa, Mohamed Essayed et al.
  59. 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.
  60. A behavioral inoculation method to improve critical takeover performance of novice drivers in conditionally automated driving · 2025 · Chai, Chen et al.
  61. Gaze Entropy and Driver Safety: Understanding Cognitive Failure and Situational Response Before Take-over · 2025 · Chang, Mi et al.
  62. Driver Takeover Performance Prediction Based on LSTM-BiLSTM-ATTENTION Model · 2025 · Chen, Lijie et al.
  63. Assessment of Driver Situation for Control Authority Transition from Conditionally Automated Vehicles using Chassis and Galvanic Skin Response Sensors · 2025 · Dogan, Daghan et al.
  64. Using a visual attentional task and eye-tracking to investigate the effects of pre-takeover resource engagement on attention restoration in conditionally automated driving · 2025 · Dou, Jinzhen et al.
  65. Investigating the Influence of Takeover Request Warning Methods on Driver Tension in Level 3 Automated Driving · 2025 · Fukuzawa, Taiga et al.
  66. Takeover and non-driving related task performance in conditional automated driving: EEG and behavior Parameters interaction · 2025 · Gao, Yuan et al.
  67. It Matters Who Is Behind The Wheel: Driver Monitoring Feature Analysis Using Explainable AI · 2025 · Gonçalves, Rafael Cirino et al.
  68. The Impact of N-back-Induced Mental Workload and Time Budget on Takeover Performance · 2025 · Goodridge, Courtney Michael et al.
  69. The Effect of Tactile Prompts During the Takeover Process of Autonomous Driving · 2025 · Guo, Sijia et al.
  70. Interactive Steering for Seamless Transition During Control Handover in Autonomous Driving · 2025 · Gurumoorthi, Adithyaa Rettaikudi et al.
  71. Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment · 2025 · Hajian, Gelareh et al.
  72. DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving · 2025 · Halin, Anaïs et al.
  73. ODD design for automated and remote driving systems: A path to remotely backed autonomy · 2025 · Hans, Ole et al.
  74. A systematic review on test performance of the driver takeover process in automated driving · 2025 · Chen, Haolin et al.
  75. 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.
  76. 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.
  77. Predicting Takeover Performance and Identifying Behavioral Patterns in Autonomous Vehicles Based on Readiness State and Scenario Complexity · 2025 · Lai, Hsueh-Yi et al.
  78. A Dataset on Takeover during Distracted L2 Automated Driving · 2025 · Hwang, Jiwoo et al.
  79. From Overtrust to Distrust: A Simulation Study on Driver Trust Calibration in Conditional Automated Driving · 2025 · Hwang, Heetae et al.
  80. Explaining Takeover Requests: The Role of Hazard Type and Explanation Strategy in Conditionally Automated Driving · 2025 · Jeong, Subin et al.
  81. Modeling Driver Situational Awareness in Takeover Scenarios Using Multimodal Data and Machine Learning · 2025 · Jia, Lesong et al.
  82. Evaluation of Take-Over Request Lead Time Based on Driving Behavioral Interaction Between Autonomous Vehicles and Manual Vehicles · 2025 · Ko, Jieun et al.
  83. Impact of non-driving related task types, request modalities, and automation on driver takeover: A meta-analysis · 2025 · Jin, Lisheng et al.
  84. Evaluating Driver Readiness in Conditionally Automated Vehicles From Eye‐Tracking Data and Head Pose · 2025 · Kazemi, Mostafa et al.
  85. Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving · 2025 · Liang, Kexin et al.
  86. Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance · 2025 · Liang, Kexin et al.
  87. 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.
  88. But first let me see: Comparison of light cues after a take-over request in automated driving · 2025 · Kuhlmann, Kerstin et al.
  89. Quantitative Analysis of Driving Environment Factors Affecting Takeover Time in Conditional Autonomous Driving Systems · 2025 · Lee, Kyeongjin et al.
  90. Adaptive Takeover Strategy Based on Driver Fatigue State System for L3 Autonomous Vehicles · 2025 · Li, Xiao et al.
  91. How do obstacle characteristics and driver alertness affect the takeover process in conditionally automated driving? · 2025 · Li, Penghui et al.
  92. Systematically modeling take-over performance: Considering the indirect effect of meteorological visibility mediated by drivers’ attention · 2025 · Li, Qingkun et al.
  93. Two-stage remote takeover strategy for autonomous driving based on driving risk fields · 2025 · Li, Kunbin et al.
  94. The Effect of Directional Tactile Guidance on Takeover Performance in Level 3 Automated Driving · 2025 · Liang, Xinying et al.
  95. When should ADS Fallback? A Critique of the Solution for Improving the SAE Conditional Driving Automation Definition · 2025 · Liang, Yaowei et al.
  96. Time to Focus on the Road: Adaptive Monitoring Requests Design for Attentional Shift in Conditional Automated Driving · 2025 · Lim, Yeonsu et al.
  97. Influence of Foggy Weather on Drivers’ Situation Awareness in the Takeover Process of Level 3 Automated Vehicles: A Functional Magnetic Resonance Imaging Study · 2025 · Lin, Zijian et al.
  98. A Systematic Review of Takeover System Design and Evaluation in Highly Automated Driving · 2025 · Liu, Tianrui et al.
  99. Takeover Time Prediction for Conditionally Automated Driving Vehicles: Considering Mixed Traffic Flow Environment · 2025 · Liu, Qingchao et al.
  100. The Impact of Mental States, Scenarios, and Modalities on Informative Takeover Requests in Automated Driving · 2025 · Lo, Wei-Hsiang et al.
  101. Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles · 2025 · Lu, Xiao et al.
  102. Similarity may be safer: the effect of similarity between Speech-based takeover request style and driver personality on self-driving takeover performance · 2025 · Ma, Keer et al.
  103. How to assess situation awareness while driving with automation? Impact of visual attention during AD mode on measures of situation awareness · 2025 · Metz, Barbara et al.
  104. Deriving Architectural Requirements for SAE J3016 <sup>TM</sup> Level 3 System from Functional Safety Perspective · 2025 · Mudunuri, Venkateswara Raju et al.
  105. Exploring the effect of driver drowsiness on takeover performance during automated driving: An updated literature review · 2025 · Pan, Hengyan et al.
  106. Towards Understanding Human-Technology Migration: Internal Interaction in Automated Road Vehicles · 2025 · Weiser, Paul et al.
  107. Fault Tolerance and Fallback Strategies in Connected and Automated Vehicles: A Review · 2025 · Rodríguez-Arozamena, Mario et al.
  108. Effect of driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation · 2025 · Saito, Yuichi et al.
  109. Highly automated driving: the role of visuo-attentional and executive abilities in take-over success · 2025 · Schnebelen, Damien et al.
  110. Impact of Road Event Recognition Reliability in Autonomous Vehicles on Driver Trust and Takeover Performance · 2025 · Chen, Shan-chih et al.
  111. Design and Development of a Tactile Takeover Warning System Using a Tactile Seat for Automated Driving · 2025 · Shi, Jinlei et al.
  112. Inflating system expectations prior to SAE level 3 automated vehicle use: effects on monitoring behavior, resumption of control, and attitudes toward driving automation · 2025 · Souders, Dustin J. et al.
  113. Investigating Factors Influencing Takeover Performance in Conditionally Automated Driving: The Role of Uncertainty Communication · 2025 · Tekkesinoglu, Sule et al.
  114. Adaptive Time Budgets for Safe and Comfortable Vehicle Control Transition in Conditionally Automated Driving · 2025 · Liang, Kexin et al.
  115. Predicting drivers’ takeover time for safe and comfortable vehicle control transitions: The role of spare capacity and driver characteristics · 2025 · Liang, Kexin et al.
  116. A study of the effect of monitoring request and takeover request time interval on takeover characteristics · 2025 · Wan, Huasen et al.
  117. Exploring how physio-psychological states affect drivers’ takeover performance in conditional automated vehicles · 2025 · Wang, Ange et al.
  118. Identifying factors affecting driver takeover time and crash risk during the automated driving takeover process · 2025 · Wang, Changshuai et al.
  119. Impact of multi-dimensional cognitive demands on takeover performance, physiological and eye-tracking measures in conditionally automated vehicles · 2025 · Wang, Ange et al.
  120. Research on Multimodal Human-Machine Interface for Takeover Request of Automated Vehicles · 2025 · WANG, Junfeng et al.
  121. Task-specific versus free-choice non-driving-related tasks: Enhancing automated driving takeover research through varied task engagement · 2025 · Wang, Wenjun et al.
  122. The impact of various in-vehicle human-machine interface (HMI) information on automated driver takeover performance in scenarios where straight driving encounters obstacles · 2025 · Wang, Yuchen
  123. A Review of Methods for Predicting Driver Take-Over Time in Conditionally Automated Driving · 2025 · Wu, Haoran et al.
  124. Autonomous Driving Takeover Requests: The Influence of Spatio-Temporal Characteristics of Human-Machine Interface Elements on Driving Trust · 2025 · Wu, Jianfeng et al.
  125. Research on Driving Takeover Methods for Human-Machine Co-Driving Intelligent Vehicles in Dangerous Traffic Situations · 2025 · Wu, Shaobin et al.
  126. Optimizing the HMI Design for the Takeover Request in Conditional Automated Driving · 2025 · Xi, Yu
  127. Human-Machine Interaction Design in Autonomous Driving Takeover: Research on Optimization Strategies Based on Stress and Situational Awareness · 2025 · Xiao, Meilin et al.
  128. Study on Optimization of Takeover Time and Safety Distance of L3 Automatic Driving System · 2025 · Yao, Bohan
  129. Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards · 2025 · Shleibik, Yousra et al.
  130. Impact of information-assisted modalities and levels on driver takeover performance in conditional automated driving · 2025 · Yu, Zhenhua et al.
  131. Effects of time interval and request modality on driver takeover responses: Identifying the optimal time interval for two-stage warning system · 2025 · Zhang, Jie et al.
  132. Informing drivers via wearable devices: Impacts of tactile warning locations on takeover performance in automated driving · 2025 · Zhang, Fangda et al.
  133. 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.
  134. Driver's Hand Trajectory-Guided Takeover Intention Inference in Conditionally Automated Driving · 2025 · Zhu, Jieyu et al.
  135. How to Counteract Driver Fatigue during Conditional Automated Driving—A Systematic Review · 2024 · Loew, Alexandra et al.
  136. Effect of Takeover Guidance and Surrounding Traffic Information Affect Takeover Performance in Conditional Driving Automation · 2024 · An, Suyang et al.
  137. 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.
  138. The Impact of Non-Driving Related Task Types on Takeover Performance: A Simulated Driving Study Considering Multimodal Warning Systems · 2024 · Bai, Yuxin et al.
  139. Driver-initiated take-overs during critical evasion maneuvers in automated driving · 2024 · Becker, Sandra et al.
  140. Text a Bit Longer or Drive Now? Resuming Driving after Texting in Conditionally Automated Cars · 2024 · Ch, Nabil Al Nahin et al.
  141. The effects of various auditory takeover requests: A simulated driving study considering the modality of non-driving-related tasks · 2024 · Chai, Chunlei et al.
  142. Analyzing the Takeover Performance of Drivers with Different Speed Stability Habits · 2024 · Chen, Facheng et al.
  143. Construction and Analysis of Driver Takeover Behavior Modes Based on Situation Awareness Theory · 2024 · Chen, Haolin et al.
  144. Investigation of the contributing factors of driver takeover time under conditional autonomous driving conditions · 2024 · Chen, Tao et al.
  145. Predicting driver’s takeover time based on individual characteristics, external environment, and situation awareness · 2024 · Chen, Haolin et al.
  146. Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing · 2024 · Deng, Min et al.
  147. Examining Driver Situation Awareness in the Takeover Process of Conditionally Automated Driving With the Effect of Age · 2024 · Ding, Wen et al.
  148. 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.
  149. A quantitative model of takeover request time budget for conditionally automated driving · 2024 · Tanshi, Foghor et al.
  150. 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.
  151. Using driver monitoring to estimate readiness in automation: A conceptual model based on simulator experimental data · 2024 · Gonçalves, Rafael C. et al.
  152. Analysis of Influencing Factors of Level 3 Automated Vehicle Takeover: A Literature Review · 2024 · Guo, Hanying et al.
  153. Analysis of trust and efficient take-over strategy with multi-sensor information fusion in conditionally automated driving · 2024 · Guo, Chang
  154. Investigating Human's Takeover Capability for L3 Autonomous Driving: Driver Behavior and Physiological Sequences and Their Impact on Risk Levels · 2024 · Guo, Gang et al.
  155. Refining two-stage transition procedures for planned transitions in conditionally automated driving · 2024 · Hasegawa, Kunihiro et al.
  156. Two-stage transition procedure reduces potential hazards on planned transitions in automated driving · 2024 · Hasegawa, Kunihiro et al.
  157. Multimodal interaction strategies for take-over requests in L3 automated driving · 2024 · He, Banben et al.
  158. Ready to Transition? Strategies to Bring Drivers Back into the Loop Upon Requests to Intervene in Conditionally Automated Driving · 2024 · Heinrich, Luisa Katharina et al.
  159. Enhancing safety in conditionally automated driving: Can more takeover request visual information make a difference in hazard scenarios with varied hazard visibility? · 2024 · Huang, Wei-Chi et al.
  160. Willingness to take responsibility: Self-sacrifice versus sacrificing others in takeover decisions during autonomous driving · 2024 · Ju, Uijong et al.
  161. Illuminating Safety: Can Light Cues Enhance Situation Awareness During Take-Overs in Conditional Automated Driving? · 2024 · Kuhlmann, Kerstin et al.
  162. Designing Visual Signals to Support Situation Awareness Recovery in Conditional Automated Driving · 2024 · Lee, Okkeun et al.
  163. Effects of Control Transition Strategies and Human-Machine Interface Designs on Driver Performance in Automated Driving Systems · 2024 · Leung, Chokiu et al.
  164. Analysis on Impact Mechanism of Interruption Theory Based Automated Driving Takeover Performance · 2024 · Li, Lin et al.
  165. Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios? · 2024 · Li, Ming-Jie et al.
  166. Feedback or Takeover: The Impact of Risk and Driver State on Intervention Behaviors in Automated Driving · 2024 · Li, Muchen et al.
  167. Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving · 2024 · Avetisyan, Lilit et al.
  168. Exploring factors in Human Cognition that affect Human Performance during Takeover in Autonomous Driving · 2024 · Liu, Zijing et al.
  169. An online-survey on user expectations and mental model of automated driving: The effects of automation description and technology readiness · 2024 · Metz, Barbara et al.
  170. Habits, attitudes, and expectations of regular users of partial driving automation systems · 2024 · Mueller, Alexandra S. et al.
  171. Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality · 2024 · Ansar, Muhammad Sajjad et al.
  172. The Haptic Link Enabling Driver-Automation Teaming · 2024 · Nakade, Tomohiro et al.
  173. Cooperation Between Vehicle and Driver: Predicting the Driver’s Takeover Capability in Cooperative Automated Driving Based on Orientation Patterns · 2024 · Herzberger, Nicolas et al.
  174. Driver behavior and mental workload for takeover safety in automated driving: ACT-R prediction modeling approach · 2024 · Oh, Hyungseok et al.
  175. Age-related differences in takeover performance: A comparative analysis of older and younger drivers in prolonged partially automated driving · 2024 · Pan, Hengyan et al.
  176. How do visual and cognitive non-driving related tasks affect drivers’ visual attention and takeover performance in conditionally automated driving? · 2024 · Pan, Hengyan et al.
  177. Getting back in the loop: Does autonomous driving duration affect driver's takeover performance? · 2024 · Portron, Arthur et al.
  178. Effects of dual-message tactile sliding takeover requests on takeover performance in an automated driving system · 2024 · Qiu, Zihao et al.
  179. Evaluation of a 3M (mistakes, mentoring, and mastery) training program for transfer of control situations in a level 2 automated driving system · 2024 · Roberts, Shannon C. et al.
  180. An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction · 2024 · Schwager, Robin et al.
  181. The Rolling Robot and the Human Brain: Handover of the Driving Task in Automated Vehicles · 2024 · Roessger, Peter et al.
  182. Analysis of Physical Readiness for Take-Over in Automated Driving – Approach to Classify Non-Driving Related Activities According to Their Level of Complexity · 2024 · Schäffer, Miriam et al.
  183. Adjustment of an Assisted Driving Function Based on Driver-Initiated Takeovers · 2024 · Schwager, Robin et al.
  184. An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction · 2024 · Schwager, Robin et al.
  185. Effects of various in-vehicle human–machine interfaces on drivers’ takeover performance and gaze pattern in conditionally automated vehicles · 2024 · Shi, Jinlei et al.
  186. Image-Based Driver Status Monitoring System for Determining the Transfer of Dynamic Driving Tasks in Autonomous Vehicles · 2024 · Su, Yi-Feng et al.
  187. Fatigue and distraction warning system for autonomous vehicle drivers in the process of three-level autonomous driving · 2024 · Sun, Haoran
  188. How can level of trust in conditional driving automation vehicles be improved? Road condition feedback strategies and the mediating role of anxiety · 2024 · Sun, Qi et al.
  189. 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.
  190. Driver Situation Awareness for Regaining Control from Conditionally Automated Vehicles: A Systematic Review of Empirical Studies · 2024 · Tan, Xiaomei et al.
  191. Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data · 2024 · Teshima, Takaaki et al.
  192. Supporting Driver Attention Toward Potential Hazards During Takeover: A Preliminary Result · 2024 · Tilbury, Dawn M. et al.
  193. Post-Takeover Proficiency in Conditionally Automated Driving: Understanding Stabilization Time with Driving and Physiological Signals · 2024 · Gruden, Timotej et al.
  194. Confidence Horizons: Dynamic Balance of Human and Automation Control Ability in Cooperative Automated Driving · 2024 · Usai, Marcel et al.
  195. Pattern Handler: Integrating Real World and Virtual Models of Human Systems Patterns to Regulate the Control Distribution in a Cooperative Automated Driving Task · 2024 · Usai, Marcel et al.
  196. Examining the Role of Driver Perception in Takeover Time: Application of Task-Capability Interface Theory · 2024 · Liang, Kexin et al.
  197. How to Design the Emergency of Takeover Warning and Takeover Scene to Make Drivers have Better Takeover Performance? · 2024 · Wang, Zhihao et al.
  198. Lateral Driver‐Automation Driver Authority Decision Considering Safety of the Intended Functionality · 2024 · Wang, Huiran et al.
  199. Modeling takeover time for non-driving related tasks using hybrid deep neural networks in conditionally automated vehicles · 2024 · Wang, Dan et al.
  200. Predicting the duration of reduced driver performance during the automated driving takeover process · 2024 · Wang, Changshuai et al.