Feedback Strategies for Crowded Intersections in Automated Traffic — A Desirable Future?

Mark Colley, Julian Britten, Simon Demharter, Tolga Hisir, E. Rukzio
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引用次数: 4

Abstract

Automated vehicles should improve both traffic safety and user experience. While novel behavior patterns such as platooning become feasible to reduce fuel usage, such time- and fuel-reducing behavior at intersections can be perceived as unsafe and possibly disconcert users. Therefore, we designed and implemented nine feedback strategies for a simulated intersection and compared these in an online video-based between-subjects study (N=226). We found that visual feedback strategies limiting the view on the actual scene by providing calming views (a Landscape or the scene with hidden vehicles) were rated significantly higher in terms of perceived safety and trust. We discuss implications regarding future traffic and whether automated vehicles will necessitate altering reality for the user.
自动交通拥挤十字路口的反馈策略——一个理想的未来?
自动驾驶汽车可以改善交通安全和用户体验。虽然新的行为模式,如排队,可以减少燃料的使用,但这种在十字路口减少时间和燃料的行为可能被认为是不安全的,可能会让用户感到不安。因此,我们为模拟路口设计并实施了九种反馈策略,并在一项基于在线视频的受试者间研究中对这些策略进行了比较(N=226)。我们发现,视觉反馈策略通过提供平静的景观(景观或隐藏车辆的场景)来限制对实际场景的看法,在感知安全和信任方面得到了显著更高的评价。我们讨论了对未来交通的影响,以及自动驾驶汽车是否需要改变用户的现实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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