Hello, is it me you’re Stopping for? The Effect of external Human Machine Interface Familiarity on Pedestrians’ Crossing Behaviour in an Ambiguous Situation

Author:

Lee Yee Mun1,Sidorov Vladislav1,Madigan Ruth1,Garcia de Pedro Jorge1,Markkula Gustav1,Merat Natasha1

Affiliation:

1. University of Leeds, UK

Abstract

Objective We investigated how different deceleration intentions (i.e. an automated vehicle either decelerated for leading traffic or yielded for pedestrians) and a novel (Slow Pulsing Light Band – SPLB) or familiar (Flashing Headlights – FH) external Human Machine Interface (eHMI) informed pedestrians’ crossing behaviour. Background The introduction of SAE Level 4 Automated Vehicles (AVs) has recently fuelled interest in new forms of explicit communication via eHMIs, to improve the interaction between AVs and surrounding road users. Before implementing these eHMIs, it is necessary to understand how pedestrians use them to inform their crossing decisions. Method Thirty participants took part in the study using a Head-Mounted Display. The independent variables were deceleration intentions and eHMI design. The percentage of crossings, collision frequency and crossing initiation time across trials were measured. Results Pedestrians were able to identify the intentions of a decelerating vehicle, using implicit cues, with more crossings made when the approaching vehicles were yielding to them. They were also more likely to cross when a familiar eHMI was presented, compared to a novel one or no eHMI, regardless of the vehicle’s intention. Finally, participants learned to take a more cautious approach as trials progressed, and not to base their decisions solely on the eHMI. Conclusion A familiar eHMI led to early crossings regardless of the vehicle’s intention but also led to a higher collision frequency than a novel eHMI. Application To achieve safe and acceptable interactions with AVs, it is important to provide eHMIs that are congruent with road users’ expectations.

Funder

European Union’s Horizon 2020

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3