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Towards Scalable eHMIs: Designing for AV-VRU Communication Beyond One Pedestrian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Current research on external Human-Machine Interfaces (eHMIs) in facilitating interactions between automated vehicles (AVs) and pedestrians have largely focused on one-to-one encounters. In order for eHMIs to be viable in reality, they need to be scalable, i.e., facilitate interaction with more than one pedestrian with clarity and unambiguity. We conducted a virtual-reality-based empirical study to evaluate four eHMI designs with two pedestrians. Results show that even in this minimum criteria of scalability, traditional eHMI designs struggle to communicate effectively whom the AV intends to yield to. Road-projection-based eHMIs show promise in clarifying the specific yielding intention of an AV, although it may still not be an ideal solution. The findings point towards the need to consider the element of scalability early in the design process, and potentially the need to reconsider the current paradigm of eHMI design.
Original languageEnglish
Title of host publicationProceedings - 13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021
PublisherAssociation for Computing Machinery, Inc.
Pages274-286
Number of pages13
ISBN (Electronic)978-1-4503-8063-8
DOIs
Publication statusPublished - 9 Sept 2021
Event13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021 - Virtual, Virtual, Online, United Kingdom
Duration: 9 Sept 2021 → 14 Sept 2021
Conference number: 13
https://www.auto-ui.org/21/

Conference

Conference13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021
Abbreviated titleAutomotiveUI 2021
Country/TerritoryUnited Kingdom
CityVirtual, Online
Period9/09/21 → 14/09/21
Internet address

Keywords

  • Automated vehicles
  • Scalability
  • Vehicle-pedestrian interaction
  • Vulnerable road users
  • eHMIs

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