Negative Effect of External Human-Machine Interfaces in Automated Vehicles on Pedestrian Crossing Behaviour: A Virtual Reality Experiment

Jieun Lee, Tatsuru Daimon, Satoshi Kitazaki

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Communication between pedestrians and automated vehicles is playing a key role in enhancing the safety of future traffic environment. The current study attempted to suggest new insights into designing external human-machine interfaces (eHMIs) in automated vehicles for traffic safety as examines negative effects of the eHMI on pedestrian crossing behaviour in a situation where an automated vehicle yields to pedestrian. Virtual Reality systems simulated three experimental conditions: baseline (no eHMI), showing “After you” and “I’ll stop” via eHMI on an automated vehicle in residential areas. The experiment using human participants resulted that conveying information via eHMI led pedestrians to do less careful exploratory behaviour toward other traffic. The result also showed the greater number of traffic collisions when the eHMI showed information compared to non-eHMI condition. The findings of this study are also being used to help how to design the eHMI on automated vehicles in shared spaces.

本文言語English
ホスト出版物のタイトルProceedings of the 21st Congress of the International Ergonomics Association, IEA 2021 - Sector Based Ergonomics
編集者Nancy L. Black, W. Patrick Neumann, Ian Noy
出版社Springer Science and Business Media Deutschland GmbH
ページ718-725
ページ数8
ISBN(印刷版)9783030746070
DOI
出版ステータスPublished - 2021
イベント 21st Congress of the International Ergonomics Association, IEA 2021 - Virtual, Online
継続期間: 2021 6 132021 6 18

出版物シリーズ

名前Lecture Notes in Networks and Systems
221 LNNS
ISSN(印刷版)2367-3370
ISSN(電子版)2367-3389

Conference

Conference 21st Congress of the International Ergonomics Association, IEA 2021
CityVirtual, Online
Period21/6/1321/6/18

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 信号処理
  • コンピュータ ネットワークおよび通信

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