对于L3自动驾驶汽车的多式TOR接口:对驾驶员信心,认知负载和接管效率的权衡分析
Qi Guo1, Jincheng Gong1, Yitao Yang2
1Visual Cognition Laboratory, School of Media and Design, East China University of Science and Technology, Shanghai, China.
Traffic injury prevention
|January 8, 2026
概括
在3级自动驾驶中,有效接管请求 (TOR) 接口平衡驾驶员的信任和效率. 结合听觉,触觉和视觉线索的多式接口通过减少认知负载和反应时间来优化性能.
科学领域:
- 人与计算机的互动.
- 汽车工程 汽车工程
- 认知心理学 认知心理学
背景情况:
- 在3级自动驾驶系统中,设计有效的接口是非常重要的.
- 平衡驾驶员的信心,认知负载和接管效率是自动驾驶汽车人机界面设计的一个关键挑战.
研究的目的:
- 为3级自动驾驶设计和评估有效的多式联运接口.
- 调查不同视觉,听觉和触觉反组合对驾驶员表现和主观体验的影响.
主要方法:
- 一项驾驶模拟器研究评估了16个多式联运TOR接口.
- 接口结合了四个视觉设计,两个听觉线索和两个触觉反状态.
- 收集的数据包括驾驶表现,主观反和眼睛跟踪指标,使用重法 (EWM) 进行分析.
主要成果:
- 最优的接口将听觉和触觉线索与上下文视觉信息 (EWM > 0.927) 集成在一起.
- 听觉线索显著提高了驾驶员的信心,减少了反应时间,显示出比触觉线索更大的信任建设效应.
- 触觉线索有效地减少了认知负载,并弥补了处理延迟,特别是在视觉复杂的场景中.
结论:
- 最佳的TOR性能是通过在各感官模式中战略性分配功能来实现的.
- 采用多模式功能互补的方法,使用听觉和触觉通道进行警报,视觉通道用于上下文,平衡信任,认知负载和效率.
- 这项研究为设计下一代自动驾驶汽车人机接口提供了理论支持.
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