An Exploration of Prosocial Aspects of Communication Cues between Automated Vehicles and Pedestrians

Shadan Sadeghian, Marc Hassenzahl, Kai Eckoldt
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引用次数: 19

Abstract

Road traffic is a social situation where participants heavily interact with each other. Consequently, communication plays an important role. Typically, the communication between pedestrians and drivers is nonverbal and consists of a combination of gestures, eye contact, and body movement. However, when vehicles become automated, this will change. Previous work has investigated the design and effectiveness of additional communication cues between pedestrians and automated vehicles. It remains unclear, though, how this impacts the perceptions of the quality of communication and impressions of mindfulness and prosociality. In this paper, we report an online experiment, where we evaluated the perception of communication cues in the form of on-road light projections, across different traffic scenarios and roles. Our results indicate that, while the cues can improve communication, their effect is dependent on traffic scenarios. These results provide preliminary implications for the design of communication cues that consider their prosocial aspects.
自动驾驶车辆与行人之间沟通线索的亲社会方面探讨
道路交通是一种社交场合,参与者之间相互影响很大。因此,沟通起着重要的作用。通常,行人和司机之间的交流是非语言的,由手势、眼神交流和身体动作组成。然而,当车辆变得自动化时,这种情况将会改变。先前的工作已经研究了行人和自动车辆之间额外通信线索的设计和有效性。然而,目前尚不清楚这如何影响人们对沟通质量的看法,以及对正念和亲社会的印象。在本文中,我们报告了一个在线实验,在该实验中,我们评估了在不同交通场景和角色中,以道路灯光投影形式的通信线索的感知。我们的研究结果表明,虽然提示可以改善沟通,但其效果取决于交通场景。这些结果为考虑其亲社会方面的沟通线索的设计提供了初步的启示。
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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