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Optimizing Takeover Performance: Balancing Warning Information Amount for Urgent and Non-Urgent Autonomous Transitions
Wang,Yu1; Hu,Qia2; Shem,Yanglin1; Zhang,Chengcheng1; Yang,Zhen1; Li,Hongting3; Ma,Shu1; Zhang,Jingyu4,5
2025
关键词information amount urgency speech warning takeover request automatedvehicle
报告类别技术报告
页数17
英文摘要

Informative warnings can improve takeover performance in automated vehicles, but improper or excessive information may hinder it. This study investigates the optimal amount of information in urgent and non-urgent autonomous takeover transitions. Forty-five drivers were randomly assigned to groups receiving different amounts of the selected takeover warning information elements. Each group completed simulated takeover tasks in four scenarios with different urgency. Takeover performance, situation awareness, and stress levels were measured. The results indicate that, in urgent situations, single-element assistance delays takeover response, while three elements increase failure risk. However, dual-element assistance yields faster response, equivalent awareness, and minimal stress. In non-urgent situations, having three elements leads to the best awareness and lowest stress compared with having fewer elements. In conclusion, an appropriate and non-overwhelming level of information facilitates urgent takeover performance, whereas greater information is advantageous in non-urgent cases. These findings provide insights into designing appropriate warning amount assistants for automated driving takeover requests across varying time-pressure situations.

所属项目名称Zhejiang Province Public Welfare Technology Research Program[LO20C090010] ; Youth Innovation foundation of Zhejiang Sci-Tech University[22062311-Y] ; National Natural Science Foundation of China[T2192932] ; National Natural Science Foundation of China[72371228] ; Key project of Chongqing Technology Innovation and Application Development[cstc2021jscx-dxwtBX0020] ; Science and Technology Research and Development Plan Project of China National Railway Group Co., Ltd[N2022Z016]
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文献类型研究报告
条目标识符https://ir.psych.ac.cn/handle/311026/47332
专题中国科学院行为科学重点实验室
作者单位1.Department of Psychology, Zhejiang Sci-Tech University, Zhejiang, Hangzhou, China
2.Department of Computer Science and Technology, Xiamen University, XiangAn, China
3.Institute of Applied Psychology, Zhejiang University of Technology, Zhejiang, Hangzhou, China
4.CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
5.Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Wang,Yu,Hu,Qia,Shem,Yanglin,et al. Optimizing Takeover Performance: Balancing Warning Information Amount for Urgent and Non-Urgent Autonomous Transitions. 2025.
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