对自动驾驶汽车的信任:构造,心理过程和评估
Francesco Walker1, Yannick Forster2, Sebastian Hergeth2
1Cognitive Psychology, Leiden University, Leiden, Netherlands.
Frontiers in psychology
|December 11, 2023
概括
司机对自动驾驶系统的信任至关重要. 对各种情况的经验,包括故障,是准确校准信任的关键,以确保安全部署.
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:
- 关于对驾驶自动化系统的信任的研究越来越多.
- 需要澄清信任的概念化,校准和测量.
- 考虑特定水平的驾驶自动化的重要性.
研究的目的:
- 澄清驾驶自动化的信任是如何被概念化,校准和测量的.
- 识别影响不同自动化级别信任校准的关键因素.
- 为改善自动驾驶研究中的信任测量提出建议.
主要方法:
- 文献综述和现有关于对自动驾驶的信任研究的综合研究.
- 分析影响信任校准的因素,包括经验和系统性能.
- 开发一个框架,以了解信任校准的动态.
主要成果:
- 驾驶员的经验,包括各种遇到的情况和系统故障,对于信任校准至关重要.
- 目前用于量化信任的方法往往缺乏客观性,可靠性和有效性.
- 提出了一个框架来描述信任校准的动态.
结论:
- 自动驾驶汽车的安全部署取决于司机开发适当的信任水平.
- 司机必须在脑海中模拟系统功能,包括潜在的意外情况.
- 开发方法来促进准确的信任校准是至关重要的.
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