Abstract
Trust was recognized as a key element in automation as it relates to the system safety and performance. However, automation trust established in research of automation industry may not be used directly into automated driving system. In order to identify automation trust in automated driving, a semi-structed interview was conducted based on a systematic review of automation trust with potential users. Results show that factors related to the vehicle itself, specifically its reliability, had the greatest association with trust. And it is difficult to apply automation trust theory directly to human-automated vehicle interaction as the driving task itself is dangerous and user of automated vehicle (AV) are usually not skilled operators. This study provides a new lens for conceptualizing automation trust, which can be applied to help guide future research and design procedures that enhance driver–automation cooperation.
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Li, J., Meng, C., Liu, L. (2021). Verifying Automation Trust in Automated Driving System from Potential Users’ Perspective. In: Zallio, M. (eds) Advances in Human Factors in Robots, Drones and Unmanned Systems. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1210. Springer, Cham. https://doi.org/10.1007/978-3-030-51758-8_5
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DOI: https://doi.org/10.1007/978-3-030-51758-8_5
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