接触自适应式巡航控制的频率和质量以及对信任,工作量和心理模型的影响
Ganesh Pai1, Fangda Zhang2, Apoorva P Hungund1
1Department of Mechanical and Industrial Engineering, 160 Governors Drive, University of Massachusetts Amherst, Amherst, MA 01003, United States.
Accident; analysis and prevention
|June 19, 2023
概括
驾驶员对自适应巡航控制 (ACC) 的理解随着更频繁地接触到边缘场景的情况而得到改善. 经历罕见的边缘病例增强了心理模型,但也增加了工作量,并减少了对ACC系统的信任.
科学领域:
- 人与计算机的交互
- 汽车工程 汽车工程
- 认知心理学 认知心理学
背景情况:
- 先进的驾驶员辅助系统 (ADAS) 需要足够的驾驶员知识才能安全操作.
- 适应式巡航控制 (ACC) 等ADAS的精神模型不足,可能导致滥用或不信任,尤其是在遇到边缘事件后.
- 驾驶员熟悉ADAS的能力和局限性对于有效使用和安全至关重要.
研究的目的:
- 调查适应式巡航控制 (ACC) 暴露的频率和质量如何影响驾驶员的心理模型,信任和工作量.
- 评估常规与常规和罕见边缘事件对驾驶员理解和感知ACC的影响.
主要方法:
- 一项纵向驾驶模拟器研究,涉及16名新手ACC用户.
- 参与者被分为"常规暴露" (常规边缘病例) 和"增强暴露" (常规和罕见边缘病例) 组.
- 几个星期的四次模拟器会议包括接触各种边缘场景,调查测量心理模型,信任和工作量.
主要成果:
- 暴露于ACC的频率增加及其边缘病例显著改善了司机的心理模型.
- 暴露于"罕见"边缘病例的司机在心理模型中表现出比仅"常规"暴露的司机更大的改善.
- 接触"罕见"边缘事件导致司机工作量增加,对ACC系统的信任降低.
结论:
- 经验和熟悉ADAS,特别是通过接触边缘病例,对于安全操作和适当使用至关重要.
- 虽然增加曝光可以提高理解,但它可以暂时增加工作量并降低信任,突出了权衡.
- 开发安全的方法,为驾驶员提供必要的ADAS暴露,特别是对罕见事件,仍然是广泛采用的关键挑战.
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