在自动驾驶过程中遇到交通中断时提供上下文信息:一项初步研究

Franck Techer, Ebru Dogan, Félicie Rampillon, L. Ojeda, Stéphane Feron, David Barat, J. Marteau
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引用次数: 1

摘要

城市驾驶环境的复杂性可能会导致自动驾驶车辆在行驶过程中频繁中断,这可能会对驾驶员的情绪产生不利影响,甚至导致驾驶员主动接管。解决这一问题的一个可能方法是,当司机在车辆行驶过程中遇到中断时,通过提供额外的信息来帮助他们重新评估情况。本研究旨在评估与基本HMI相比,增强了语境信息的HMI对驾驶员情绪、态度和行为的影响。参与者在驾驶模拟器中驾驶实验场景,一次有,一次没有接收上下文信息。讨论了结果,识别了潜在的偏差,并提出了改进所提出方法的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Providing contextual information when encountering traffic interruptions during automated driving: a preliminary study
The complexity of urban driving environment may create frequent interruptions in the course of automated vehicles, which may have adverse effects on driver's mood, and even result in driver-initiated takeovers. A possible way to counteract this is to help drivers reappraise the situation by providing additional information when they encounter interruptions in vehicle's progression. This study aimed at assessing the effect of an HMI enhanced with contextual information on drivers' mood, attitude and behavior compared to a basic HMI. Participants drove the experimental scenario in a driving simulator, once with and once without receiving contextual information. Results are discussed, potential bias is identified, and perspectives are evoked to improve the proposed method.
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