| Citation: | DING Tiecheng, ZHI Jinyi, ZOU Rui, WANG Zhenyu, HE Sijun, JING Chunhui. Impact of Initial Levels of Trust in Automation on Urban Rail Transit Driving Tasks[J]. Journal of Southwest Jiaotong University, 2025, 60(6): 1519-1526. doi: 10.3969/j.issn.0258-2724.20230654 |
In order to ascertain the impact of the initial levels of trust in automation on takeover performance, workload, and visual behavior in urban rail transit driving tasks, a questionnaire assessing initial trust in automation was designed and validated. The questionnaire was used to screen participants with significantly different initial levels of trust for driving simulation tests. Takeover performance was evaluated by recording the response time of both routine and emergency braking. Workload was assessed by the National Aeronautics and Space Administration Task Load Index (NASA-TLX) questionnaire. Additionally, data on visual behavior differences were analyzed by capturing saccade counts, total fixation counts, fixation durations, and mean fixation durations in two distinct areas separately: the rail surface and the driving interface. The results indicate that participants with different initial levels of trust show no significant difference in takeover performance. A 21.39% reduction in overall workload, a 34.24% reduction in physical demand, and a 31.96% reduction in frustration are observed among participants with high initial levels of trust compared with those with low levels of trust. The initial level of trust significantly influences visual behavior. Low-trust participants tend to exhibit active visual search behaviors, who demonstrate 28.14% more fixation counts on the rail surface, 41.78% more saccade counts to the road surface, and 42.91% more saccade counts to the driving interface. Meanwhile, high-trust participants tend to display fixed visual gaze behaviors, with a 40.74% longer mean fixation duration on the rail surface. The findings of this study offer theoretical guidance and practical implications for enhancing driving safety interventions in urban rail transit.
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