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

Qi Sun, Jie Yao, Peiyao Cheng and Shumeng Hou

Behaviour and Information Technology, 2025, vol. 44, issue 12, 2896-2912

Abstract: 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.

Date: 2025
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DOI: 10.1080/0144929X.2024.2420183

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