Investigating the Need for Explicit Communication of Non-Yielding Intent through a Slow-Pulsing Light Band (SPLB) eHMI in AV-Pedestrian Interaction

Debargha Dey, Azra Habibovic, Melanie Berger, Devanshi Bansal, R. Cuijpers, Brady Michael Kuhl
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引用次数: 10

Abstract

External human-machine interfaces (eHMIs) support automated vehicles (AVs) in interacting with vulnerable road users such as pedestrians. eHMI research has mostly dealt with investigating the communication an AV’s yielding intent, but there is little insight into how (or if) an eHMI should communicate an AV’s non-yielding intent. We conducted a video-based study (N = 25) with two eHMI concepts that offer pedestrians information about the vehicle’s non-yielding intent either explicitly or implicitly, and compared it with a baseline of an AV without an eHMI. Results show that while both kinds of eHMIs are effective and perform better than the baseline, there is no evidence of significant difference in road-crossing decision performance between explicit and implicit eHMIs in ambiguous situations. However, subjective feedback shows a trend of preference for eHMIs that communicate an AV’s intent explicitly at all times, although with a need for a significant distinction between the yielding and non-yielding messages.
通过慢脉冲光带(SPLB) eHMI研究自动驾驶汽车-行人相互作用中不屈服意图的显式通信需求
外部人机界面(eHMIs)支持自动驾驶汽车(AVs)与行人等弱势道路使用者进行交互。eHMI研究主要是调查自动驾驶汽车的屈服意图的沟通,但很少有关于eHMI应该如何(或是否)传达自动驾驶汽车的不屈服意图的见解。我们进行了一项基于视频的研究(N = 25),采用两个eHMI概念,明确或隐含地向行人提供有关车辆不让步意图的信息,并将其与没有eHMI的自动驾驶汽车的基线进行比较。结果表明,在模糊情境下,显性ehmi和隐性ehmi在过马路决策绩效上没有显著差异,且两种ehmi都是有效的。然而,主观反馈显示,人们倾向于始终明确传达自动驾驶汽车意图的ehmi,尽管需要对让步和不让步的信息进行显著区分。
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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