Institutional Repository of Key Laboratory of Behavioral Science, CAS
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] |
引用统计 | |
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. |
条目包含的文件 | 条目无相关文件。 |
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