在特斯拉Model X的危险驾驶体验中,团体信任动态
Ali Momen1, Ewart J de Visser1, Marlena R Fraune2
1United States Air Force Academy, Colorado Springs, CO, United States.
Frontiers in psychology
|July 6, 2023
概括
集团对自动驾驶汽车 (AV) 的信任是实验性的. 调查结果揭示了当前AV技术的安全问题和伦理挑战,强调需要仔细发展信任.
科学领域:
- 人与计算机的交互
- 自主系统 自主系统
- 社会心理学 社会心理学
背景情况:
- 人们越来越担心自动驾驶汽车 (AV) 的安全性和可靠性.
- 之前的研究集中在个人驾驶员的信心和表现上,忽视了群体动态.
- 了解AVs面临风险的群体内信任如何发展至关重要.
研究的目的:
- 调查自动化对自动化信任如何在自动驾驶汽车乘客群体中发展.
- 探索影响群体信任和依赖AV技术的社会和心理因素.
- 通过自然主义的小组互动来确定与对自动化的信任相关的主题.
主要方法:
- 进行了一项自然主义实验,涉及一群乘坐特斯拉Model X的参与者.
- 鼓励参与者在校园道路上骑行时进行对话.
- 分析对话以确定与对自动化和群体动态的信任相关的主题.
主要成果:
- 确定了关键主题:集体风险感知,自动化实验,群体感知,人机交互问题和感知到的好处.
- 强调了自动驾驶汽车的实验性质,并对其在道路上的安全性和准备性提出了重大担忧.
- 揭示了对社会群体-载体相互作用的见解,包括潜在的危险和道德挑战.
结论:
- 目前的AV技术在很大程度上未经测试,这引发了严重的安全和准备问题.
- 开发适当的信任和依赖策略对于安全的AV使用至关重要.
- 研究结果提供了对使用先进技术的集团信任过程的理论见解,并突出了伦理方面的考虑.
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