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Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures

16 references·16 citing·33 second hopsampled

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References

2004Trust in Automation: Designing for Appropriate Reliance6,548 cited
1995The Out-of-the-Loop Performance Problem and Level of Control in Automation1,400 cited
1985A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?1,285 cited
1999Level of automation effects on performance, situation awareness and workload in a dynamic control task1,087 cited
2004The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task790 cited
2013“Take over!” How long does it take to get the driver back into the loop?775 cited
2014Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence740 cited
2017Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control691 cited
2014Transition to manual: Driver behaviour when resuming control from a highly automated vehicle642 cited
2002Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator570 cited
2015What determines the take-over time? An integrated model approach of driver take-over after automated driving488 cited
2009Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies464 cited
2014How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving

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447 cited

2016Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations441 cited

2019Determinants of take-over time from automated driving: A meta-analysis of 129 studies436 cited

2004A Two-Point Visual Control Model of Steering430 cited

Cited by

2020Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving161 cited
2020Predicting driver takeover performance in conditionally automated driving142 cited
2021Takeover requests for automated driving: The effects of signal direction, lead time, and modality on takeover performance124 cited
2020HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers118 cited
2020Psychophysiological responses to takeover requests in conditionally automated driving108 cited
2021DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data94 cited
2020Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and Acceptance90 cited
2021Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust81 cited
2020Transport safety and human factors in the era of automation: What can transport modes learn from each other?78 cited
2020Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers’ Takeover Performance in Conditionally Automated Driving78 cited
2019Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles77 cited
2022Predicting Driver Takeover Time in Conditionally Automated Driving75 cited
2021How drowsiness and distraction can interfere with take-over performance: A systematic and meta-analysis review72 cited
2020Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles60 cited
2021Are novice drivers competent to take over control from level 3 automated vehicles? A comparative study with experienced drivers59 cited
2021Measuring drivers’ takeover performance in varying levels of automation: Considering the influence of cognitive secondary task59 cited