Consequence-Aware Takeovers: Enhancing Safety in Autonomous Driving Transitions

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Publicado en:International Journal of Human - Computer Interaction vol. 41, no. 22 (Nov 2025), p. 14558
Autor principal: Zhang, Chengcheng
Otros Autores: Liu, Zhizi, Shen, Yanglin, Yang, Zhen, Li, Hongting, Ma, Shu, Zhang, Jingyu
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Lawrence Erlbaum Associates, Inc.
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022 |a 1044-7318 
024 7 |a 10.1080/10447318.2025.2484417  |2 doi 
035 |a 3272480977 
045 2 |b d20251101  |b d20251130 
084 |a 66286  |2 nlm 
100 1 |a Zhang, Chengcheng  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
245 1 |a Consequence-Aware Takeovers: Enhancing Safety in Autonomous Driving Transitions 
260 |b Lawrence Erlbaum Associates, Inc.  |c Nov 2025 
513 |a Journal Article 
520 3 |a Awareness of behavioral consequences significantly influences focus, priorities, and emotions. This study investigates the impact of informing drivers about potential takeover consequences on human-machine collaboration in conditional autonomous driving. We recruited 32 licensed drivers and randomly assigned them to groups with and without informed consequences. Each group completed 8 distinct takeover tasks, each with varying consequences of not taking over. We assessed takeover performance, subjective evaluations (situational awareness, workload), and physiological stress responses (electrocardiogram, electromyogram) to provide a comprehensive evaluation of takeover safety. Our findings indicate that drivers informed of the consequences demonstrated superior takeover performance, evidenced by increased time-to-collision, reduced maximum lateral acceleration, and decreased trajectory deviation. Additionally, disclosing consequences increased drivers’ perceived attentional demands, elevating workload while maintaining stable stress levels during takeover. Future research should explore how to balance workload with driving performance when informing drivers of the consequences of not taking over. 
653 |a Electrocardiography 
653 |a Safety 
653 |a Performance evaluation 
653 |a Subjectivity 
653 |a Emotions 
653 |a Stress (physiology) 
653 |a Driving 
653 |a Automobiles 
653 |a Takeovers 
653 |a Workload 
653 |a Situational awareness 
653 |a Stress 
653 |a Anatomical systems 
700 1 |a Liu, Zhizi  |u Chongqing Changan Automobile Co, Chongqing, China 
700 1 |a Shen, Yanglin  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Yang, Zhen  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Li, Hongting  |u Department of Psychology, Zhejiang University of Technology, Hangzhou, China 
700 1 |a Ma, Shu  |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
700 1 |a Zhang, Jingyu  |u CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China 
773 0 |t International Journal of Human - Computer Interaction  |g vol. 41, no. 22 (Nov 2025), p. 14558 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3272480977/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch