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对先进驾驶辅助系统的了解和信任。

Knowledge of and trust in advanced driver assistance systems.

机构信息

Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON, M5S 3G8, Canada.

出版信息

Accid Anal Prev. 2021 Jun;156:106121. doi: 10.1016/j.aap.2021.106121. Epub 2021 Apr 18.

DOI:10.1016/j.aap.2021.106121
PMID:33882402
Abstract

Understanding what drivers know about state-of-the-art advanced driver assistance systems (ADAS), like adaptive cruise control (ACC) and lane keeping assistance (LKA) is important because such knowledge can influence trust in and reliance on the automation. We surveyed ADAS owners (N = 102) and non-owners (N = 262), with the primary objective of assessing knowledge and trust of ACC and LKA, and investigating the relationship between knowledge and trust among drivers who have not received special training. The survey contained demographic questions, ACC and LKA knowledge questionnaires (assessing knowledge of capabilities and limitations commonly found in owner's manuals), and ACC and LKA trust ratings. From the knowledge questionnaires, sensitivity (i.e., knowledge of the true capabilities of ACC and LKA) and response bias were assessed and used to predict trust. Results showed that owners did not have better knowledge of system capabilities/limitations than non-owners, in fact, owners had a stronger bias in favour of system capabilities. For non-owners, better knowledge of system capabilities was associated with lower trust, and those who were more biased towards endorsing system capabilities had higher trust. Neither knowledge nor response bias was associated with trust among owners. Further research is needed to confirm our results with a larger sample of owners, but given that it is also impractical to expect drivers to learn and remember all possible ADAS limitations, it may be beneficial to focus training efforts on improving drivers' overall understanding of the fallibility of ADAS and reinforcing their role when using ADAS to support appropriate trust and reliance.

摘要

了解驾驶员对先进驾驶辅助系统(ADAS)的了解情况非常重要,例如自适应巡航控制(ACC)和车道保持辅助(LKA),因为这种知识会影响对自动化的信任和依赖。我们对 ADAS 车主(N=102)和非车主(N=262)进行了调查,主要目的是评估 ACC 和 LKA 的知识和信任度,并研究未接受特殊培训的驾驶员之间知识和信任之间的关系。调查包含人口统计学问题、ACC 和 LKA 知识问卷(评估车主手册中常见的功能和限制的知识)以及 ACC 和 LKA 信任评级。从知识问卷中,评估了敏感性(即,对 ACC 和 LKA 的真实功能的了解)和响应偏差,并将其用于预测信任。结果表明,车主对系统功能/限制的了解并不比非车主好,实际上,车主对系统功能的偏见更强。对于非车主,对系统功能的更好了解与较低的信任度相关,而对系统功能更倾向于认可的人则具有更高的信任度。车主的知识和响应偏差都与信任无关。需要进一步的研究来用更大的车主样本证实我们的结果,但由于期望驾驶员学习和记住所有可能的 ADAS 限制也是不切实际的,因此专注于提高驾驶员对 ADAS 易出错性的整体理解并加强他们在使用 ADAS 支持适当的信任和依赖时的作用,可能会有所帮助。

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引用本文的文献

1
Factors Influencing Trust in Advanced Driver Assistance Systems for Current Users.影响当前用户对高级驾驶辅助系统信任度的因素。
Proc Hum Factors Ergon Soc Annu Meet. 2023 Sep;67(1):1403-1404. doi: 10.1177/21695067231192903. Epub 2023 Oct 25.
2
Beyond adaptive cruise control and lane centering control: drivers' mental model of and trust in emerging ADAS technologies.超越自适应巡航控制和车道居中控制:驾驶员对新兴高级驾驶辅助系统技术的心理模型与信任度
Front Psychol. 2023 Aug 8;14:1236062. doi: 10.3389/fpsyg.2023.1236062. eCollection 2023.