Content area

Abstract

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.

Details

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Title
Consequence-Aware Takeovers: Enhancing Safety in Autonomous Driving Transitions
Author
Zhang, Chengcheng 1 ; Liu, Zhizi 2 ; Shen, Yanglin 1 ; Yang, Zhen 1 ; Li, Hongting 3 ; Ma, Shu 1   VIAFID ORCID Logo  ; Zhang, Jingyu 4 

 Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China 
 Chongqing Changan Automobile Co, Chongqing, China 
 Department of Psychology, Zhejiang University of Technology, Hangzhou, China 
 CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China 
Volume
41
Issue
22
Pages
14558-14570
Publication year
2025
Publication date
Nov 2025
Publisher
Lawrence Erlbaum Associates, Inc.
Place of publication
Norwood
Country of publication
United States
ISSN
10447318
e-ISSN
10447318
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2024-09-27 (Received); 2025-03-19 (Rev-recd); 2025-03-20 (Accepted)
ProQuest document ID
3272480977
Document URL
https://www.proquest.com/scholarly-journals/consequence-aware-takeovers-enhancing-safety/docview/3272480977/se-2?accountid=208611
Copyright
© 2025 Taylor & Francis Group, LLC
Last updated
2025-11-18
Database
ProQuest One Academic