Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians

Debargha (Dave) Dey, Kai Holländer, Melanie Berger, J.H. (Berry) Eggen, Marieke H. Martens, B. Pfleging, Jacques M.B. Terken

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

31 Citations (Scopus)
388 Downloads (Pure)

Abstract

External human-machine interfaces (eHMIs) support automated vehicles (AVs) in interacting with vulnerable road users such as pedestrians. While related work investigated various eHMIs concepts, these concepts communicate their message in one go at a single point in time. There are no empirical insights yet whether distance-dependent multi-step information that provides additional context as the vehicle approaches a pedestrian can increase the user experience. We conducted a video-based study (N=24) with an eHMI concept that offers pedestrians information about the vehicle’s intent without providing any further context information, and compared it with two novel eHMI concepts that provide additional information when approaching the pedestrian. Results show that additional distance-based information on eHMIs for yielding vehicles enhances pedestrians’ comprehension of the vehicle’s intention and increases their willingness to cross. This insight posits the importance of distance-dependent information in the development of eHMIs to enhance the usability, acceptance, and safety of AVs
Original languageEnglish
Title of host publication12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20)
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages192-204
Number of pages13
ISBN (Electronic)9781450380652
ISBN (Print)978-1-4503-8065-2
DOIs
Publication statusPublished - 21 Sept 2020
Event12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2020) - Virtual
Duration: 21 Sept 202022 Sept 2020
Conference number: 12
https://www.auto-ui.org/20/

Conference

Conference12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2020)
Abbreviated titleAutomotiveUI 2020
Period21/09/2022/09/20
Internet address

Funding

This research is supported by the Dutch Domain Applied and Engineering Sciences, which is part of the Netherlands Organization for Scientific Research (NWO), and which is partly funded by the Ministry of Economic Affairs (project number 14896).

FundersFunder number
Dutch Domain Applied and Engineering Sciences
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministerie van Economische Zaken14896
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    Keywords

    • Automated vehicles
    • VRU
    • eHMIs
    • pedestrians
    • vehicle-pedestrian interaction

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