Löcken, A, Matviienko, A, Colley, M et al. (4 more authors) (2022) Accessible Automated Automotive Workshop Series (A3WS): International Perspective on Inclusive External Human-Machine Interfaces. In: AutomotiveUI '22: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. AutomotiveUI '22, 17-20 Sep 2022, New York, United States. ACM , pp. 192-195. ISBN 978-1-4503-9428-4
Abstract
The fact that automated vehicles will be part of road traffic raises the question of how human road users, like bicyclists or pedestrians, would safely interact with them. Research has proposed external human-machine interfaces (eHMIs) for automated vehicles as a potential solution. Concept prototypes and evaluations so far have mainly focused on young, healthy adults and people without disabilities, such as visual impairments. For a “one-for-all” holistic, inclusive solution, however, further target groups like children, seniors, or people with (other) special needs will have to be considered. In this workshop, we bring together researchers, experts, and practitioners working on eHMIs to broaden our perspective on inclusiveness. We aim to identify aspects of inclusive eHMI design that can be universal and tailored to any culture and will focus on discussing methods, tools, and scenarios for inclusive communication.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Owner/Author. This is an author produced version of an article published in Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Dec 2022 14:09 |
Last Modified: | 12 Dec 2022 21:39 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3544999.3551347 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:194030 |