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Exploring the Effectiveness of External Human-Machine Interfaces on Pedestrians and Drivers

Published: 21 September 2020 Publication History

Abstract

Previous literature provided the results that eHMIs can be an effective method in interacting with pedestrians. However, there remains a question whether eHMIs are also effective for other road users or not. Therefore, the present study aimed to explore subjective evaluations on eHMIs with two different perspectives, pedestrians and drivers around AVs. Subjective preferences to different types of eHMIs were investigated through an online survey. Nine types of eHMIs were designed based on the combinations of display location and sign format. The results showed that people have different attitudes towards eHMIs depending on their perspectives. The participants as driver evaluated the bottom condition negatively compared to the pedestrian, and the participants as pedestrians felt that icons are not a good option compared to the drivers. The findings of the present study contribute to design of eHMI considering various road users.

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Cited By

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  • (2025)Exploring the Impact of eHMI Display Location and Vehicle Type on Pedestrian Perceptions: A VR User StudyIEEE Access10.1109/ACCESS.2025.352617213(4947-4956)Online publication date: 2025
  • (2024)Discovering the Power of External Human-Machine Interface: An EEG Study on the Driving Anger RegulationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2402118(1-14)Online publication date: 16-Sep-2024
  • (2024)Not Always Good: Mitigating Pedestrians’ Less Careful Crossing Behavior by External Human-Machine Interfaces on Automated VehiclesInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2352212(1-13)Online publication date: 19-Jun-2024
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cover image ACM Conferences
AutomotiveUI '20: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2020
116 pages
ISBN:9781450380669
DOI:10.1145/3409251
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2020

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Author Tags

  1. External Human-Machine Interfaces, Display Location
  2. Sign Format, Road User

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

View all
  • (2025)Exploring the Impact of eHMI Display Location and Vehicle Type on Pedestrian Perceptions: A VR User StudyIEEE Access10.1109/ACCESS.2025.352617213(4947-4956)Online publication date: 2025
  • (2024)Discovering the Power of External Human-Machine Interface: An EEG Study on the Driving Anger RegulationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2402118(1-14)Online publication date: 16-Sep-2024
  • (2024)Not Always Good: Mitigating Pedestrians’ Less Careful Crossing Behavior by External Human-Machine Interfaces on Automated VehiclesInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2352212(1-13)Online publication date: 19-Jun-2024
  • (2023)IntVRsection: Virtual Reality Environment for Evaluating Signalized and Unsignalized Intersection ScenariosAdjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3581961.3610373(300-303)Online publication date: 18-Sep-2023
  • (2022)Calibration of Trust in Autonomous VehicleHuman-Automation Interaction10.1007/978-3-031-10784-9_16(267-280)Online publication date: 1-Nov-2022
  • (2021)Communication of Automated Vehicles and Pedestrian Groups: An Intercultural Study on Pedestrians’ Street Crossing DecisionsProceedings of Mensch und Computer 202110.1145/3473856.3474004(49-53)Online publication date: 5-Sep-2021
  • (2021)Eliciting User Needs and Design Requirements for User Experience in Fully Automated VehiclesInternational Journal of Human–Computer Interaction10.1080/10447318.2021.1937875(1-13)Online publication date: 11-Jun-2021

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