自动驾驶情景信任量表(STS-AD):开发与初步验证

Brittany E. Holthausen, Philipp Wintersberger, B. Walker, A. Riener
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引用次数: 55

摘要

信任在决定司机如何与自动驾驶汽车互动方面很重要。过度信任导致了致命的事故;而不信任会阻碍这项技术的成功采用。然而,由于信任结构的复杂性和缺乏标准化的测量方法,现有的信任研究往往难以进行比较。此外,现有的信任量表往往不考虑其多维性。另一个挑战是驾驶非常依赖于上下文和情境。基于Hoff和Bashir提出的信任模型,我们提出了自动驾驶情景信任量表,这是一份评估情景信任不同方面的简短问卷。我们使用美国和德国的在线研究(N=303)来评估量表,参与者面对不同的自动驾驶汽车视频。结果证实了情境因素作为信任的组成部分的存在,并支持该量表是自动驾驶情境信任的有效衡量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Situational Trust Scale for Automated Driving (STS-AD): Development and Initial Validation
Trust is important in determining how drivers interact with automated vehicles. Overtrust has contributed to fatal accidents; and distrust can hinder successful adoption of this technology. However, existing studies on trust are often hard to compare, given the complexity of the construct and the absence of standardized measures. Further, existing trust scales often do not consider its multi-dimensionality. Another challenge is that driving is strongly context- and situation-dependent. We present the Situational Trust Scale for Automated Driving, a short questionnaire to assess different aspects of situational trust, based on the trust model proposed by Hoff and Bashir. We evaluated the scale using an online study in the US and Germany (N=303), where participants faced different videos of an automated vehicle. Results confirm the existence of situational factors as components of trust, and support the scale being a valid measure of situational trust in this automated driving context.
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