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External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study

With the increasing number of automated vehicles (AVs) being tested and operating on roads, external Human–Machine Interfaces (eHMIs) are proposed to facilitate interactions between AVs and other road users. Considering the need to protect vulnerable road users, this paper addresses the issue by pro...

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Autores principales: Guo, Jiawen, Yuan, Quan, Yu, Jingrui, Chen, Xizheng, Yu, Wenlin, Cheng, Qian, Wang, Wuhong, Luo, Wenhui, Jiang, Xiaobei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105080/
https://www.ncbi.nlm.nih.gov/pubmed/35591029
http://dx.doi.org/10.3390/s22093339
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author Guo, Jiawen
Yuan, Quan
Yu, Jingrui
Chen, Xizheng
Yu, Wenlin
Cheng, Qian
Wang, Wuhong
Luo, Wenhui
Jiang, Xiaobei
author_facet Guo, Jiawen
Yuan, Quan
Yu, Jingrui
Chen, Xizheng
Yu, Wenlin
Cheng, Qian
Wang, Wuhong
Luo, Wenhui
Jiang, Xiaobei
author_sort Guo, Jiawen
collection PubMed
description With the increasing number of automated vehicles (AVs) being tested and operating on roads, external Human–Machine Interfaces (eHMIs) are proposed to facilitate interactions between AVs and other road users. Considering the need to protect vulnerable road users, this paper addresses the issue by providing research evidence on various designs of eHMIs. Ninety participants took part in this experiment. Six sets of eHMI prototypes—Text, Arrowed (Dynamic), Text and Symbol, Symbol only, Tick and Cross and Traffic Lights, including two sub-designs (Cross and Do Not Cross)—were designed. The results showed that 65.1% of participants agreed that external communication would have a positive effect on pedestrians’ crossing decisions. Among all the prototypes, Text, and Text and Symbol, eHMIs were the most widely accepted. In particular, for elderly people and those unfamiliar with traffic rules, Text, and Text and Symbol, eHMIs would lead to faster comprehension. The results confirmed that 68.5% of participants would feel safer crossing if the eHMI had the following features: ‘Green’, ‘Text’, ‘Symbol’, or ‘Dynamic’. These features are suggested in the design of future systems. This research concluded that eHMIs have a positive effect on V2X communication and that textual eHMIs were clear to pedestrians.
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spelling pubmed-91050802022-05-14 External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study Guo, Jiawen Yuan, Quan Yu, Jingrui Chen, Xizheng Yu, Wenlin Cheng, Qian Wang, Wuhong Luo, Wenhui Jiang, Xiaobei Sensors (Basel) Article With the increasing number of automated vehicles (AVs) being tested and operating on roads, external Human–Machine Interfaces (eHMIs) are proposed to facilitate interactions between AVs and other road users. Considering the need to protect vulnerable road users, this paper addresses the issue by providing research evidence on various designs of eHMIs. Ninety participants took part in this experiment. Six sets of eHMI prototypes—Text, Arrowed (Dynamic), Text and Symbol, Symbol only, Tick and Cross and Traffic Lights, including two sub-designs (Cross and Do Not Cross)—were designed. The results showed that 65.1% of participants agreed that external communication would have a positive effect on pedestrians’ crossing decisions. Among all the prototypes, Text, and Text and Symbol, eHMIs were the most widely accepted. In particular, for elderly people and those unfamiliar with traffic rules, Text, and Text and Symbol, eHMIs would lead to faster comprehension. The results confirmed that 68.5% of participants would feel safer crossing if the eHMI had the following features: ‘Green’, ‘Text’, ‘Symbol’, or ‘Dynamic’. These features are suggested in the design of future systems. This research concluded that eHMIs have a positive effect on V2X communication and that textual eHMIs were clear to pedestrians. MDPI 2022-04-27 /pmc/articles/PMC9105080/ /pubmed/35591029 http://dx.doi.org/10.3390/s22093339 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guo, Jiawen
Yuan, Quan
Yu, Jingrui
Chen, Xizheng
Yu, Wenlin
Cheng, Qian
Wang, Wuhong
Luo, Wenhui
Jiang, Xiaobei
External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study
title External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study
title_full External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study
title_fullStr External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study
title_full_unstemmed External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study
title_short External Human–Machine Interfaces for Autonomous Vehicles from Pedestrians’ Perspective: A Survey Study
title_sort external human–machine interfaces for autonomous vehicles from pedestrians’ perspective: a survey study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105080/
https://www.ncbi.nlm.nih.gov/pubmed/35591029
http://dx.doi.org/10.3390/s22093339
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