利用定位、导航和传感器反馈校准自动驾驶汽车信任度的协同定位中的人为因素考虑

George Filip, Xiaolin Meng, G. Burnett, C. Harvey
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引用次数: 3

摘要

鉴于自动驾驶车辆上的传感、导航和定位环境的复杂性,我们进行了一项探索性调查,并确定了能够影响用户对该系统信任的因素。通过对调查数据的分析,车辆态势感知(SAV)成为影响用户信任的重要因素。在此基础上,我们对12位CAV领域的专家进行了半结构化访谈,重点关注SAV的重要性,讨论SAV时最重要的因素,以及让用户了解其状态的必要性。我们的结论是,在联网和自动驾驶汽车(cav)的背景下,SAV的重要性现在可以从使车辆发挥作用的技术必要性扩展到人为因素领域:校准用户的信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human factors considerations for cooperative positioning using positioning, navigational and sensor feedback to calibrate trust in CAVs
Given the complexities involved in the sensing, navigational and positioning environment on board automated vehicles we conduct an exploratory survey and identify factors capable of influencing the users' trust in such system. After the analysis of the survey data, the Situational Awareness of the Vehicle (SAV) emerges as an important factor capable of influencing the trust of the users. We follow up on that by conducting semi-structured interviews with 12 experts in the CAV field, focusing on the importance of the SAV, on the factors that are most important when talking about it as well as the need to keep the users informed regarding its status. We conclude that in the context of Connected and Automated Vehicles (CAVs), the importance of the SAV can now be expanded beyond its technical necessity of making vehicles function to a human factors area: calibrating users' trust.
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