Identifying User Needs and Current Challenges of External Interface Design for AV-VRU Communications: Insights from an Expert Survey Data Analysis

Author:

Ammar Dania1ORCID,Wu Yi2ORCID,Guo Huizhong2ORCID,Misra Aditi3ORCID,Jia Bochen1ORCID,Bao Shan12ORCID

Affiliation:

1. Industrial and Manufacturing Systems Engineering Department, University of Michigan-Dearborn, Dearborn, MI

2. University of Michigan Transportation Research Institute, Ann Arbor, MI

3. Department of Civil and Environmental Engineering, University of Colorado-Denver, Denver, CO

Abstract

The recent deployment of highly automated vehicles (AVs) in various cities highlights the potential improvement of transportation safety but also reveals the need for improved interaction between AVs and other road users, particularly vulnerable road users (VRUs). The reduction of driver involvement in this AV-VRU interaction results in the absence of human-to-human communication cues and thus calls for new system designs. Researchers have proposed designing external human–machine interfaces (e-HMIs) to replace these communication cues and improve the AV-VRU interaction. However, designing e-HMIs is complex and requires consideration of various factors, such as stakeholder responsibilities, context of use, user needs, implementation, design principles, and usability testing. This paper examines potential e-HMI design solutions from the perspective of experts to determine user needs and identify challenges. An online survey was conducted with 47 experts in the AV and VRU field to gather their opinions on anticipated issues in AV-VRU interaction, preferred e-HMI design options, and related concerns. Both quantitative and qualitative analyses of the data revealed that experts view “Awareness” and “Intent” as the most important information to be communicated through visual e-HMIs placed on AVs. Open-ended questions also showed that there were fewer experts concerned about “Awareness” and “Intent” compared with other information types, and more experts concerned about auditory cues compared with visual cues and about VRU wearable or handheld devices installation locations compared with other locations. These findings provide insights into the efficiency, feasibility, effectiveness, and challenges in developing e-HMIs for improved and safer communication between AVs and VRUs.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference34 articles.

1. User preferences regarding autonomous vehicles

2. Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior

3. Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

4. Sundin A., Carlsson M. The Smiling Car - Self Driving Car That Sees You. Semcon, n.d. https://semcon.com/smilingcar/. Accessed August 1, 2022.

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