How can level of trust in conditional driving automation vehicles be improved? Road condition feedback strategies and the mediating role of anxiety

自动化 焦虑 心理学 计算机科学 应用心理学 认知心理学 运输工程 工程类 机械工程 精神科
作者
Qi Sun,Jie Yao,Peiyao Cheng,Shumeng Hou
出处
期刊:Behaviour & Information Technology [Taylor & Francis]
卷期号:: 1-17
标识
DOI:10.1080/0144929x.2024.2420183
摘要

Conditional driving automation (CDA, Level 3) vehicles will become widespread in the next few years. The driver only needs to take over the vehicle in an emergency and pay attention to the feedback from the vehicle. However, the mechanism by which feedback strategies and drivers' emotional factors influence drivers' levels of trust in automation is not clear. This study compares the effect of three road condition feedback strategies on drivers' trust in automation: no feedback, concentrated feedback (multiple feedback messages are presented together before the takeover request is issued) and real-time feedback (the road condition messages are fed in real time based on changes in the external environment). The mediating effect of anxiety in the relationship is also examined by a within-subjects factorial simulated driving experiment (N = 41). The anxiety score was significantly lower in the real-time feedback group than in the other two groups, but the level of trust in automation was significantly higher. Furthermore, an analysis of the mediating effect showed that anxiety plays a fully mediating role in the relationship between real-time feedback and the level of trust in automation. This finding will help professionals design more trustworthy feedback strategies from a psychological perspective.
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