Tabone, W, Lee, YM orcid.org/0000-0003-3601-4191, Merat, N orcid.org/0000-0003-4140-9948 et al. (2 more authors) (2021) Towards future pedestrian-vehicle interactions: Introducing theoretically-supported AR prototypes. In: AutomotiveUI '21. AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 09-14 Sep 2021, Leeds United Kingdom. Association for Computing Machinery , pp. 209-218. ISBN 9781450380638
Abstract
The future urban environment may consist of mixed traffic in which pedestrians interact with automated vehicles (AVs). However, it is still unclear how AVs should communicate their intentions to pedestrians. Augmented reality (AR) technology could transform the future of interactions between pedestrians and AVs by offering targeted and individualized communication. This paper presents nine prototypes of AR concepts for pedestrian-AV interaction that are implemented and demonstrated in a real crossing environment. Each concept was based on expert perspectives and designed using theoretically-informed brainstorming sessions. Prototypes were implemented in Unity MARS and subsequently tested on an unmarked road using a standalone iPad Pro with LiDAR functionality. Despite the limitations of the technology, this paper offers an indication of how future AR systems may support future pedestrian-AV interactions.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License. |
Keywords: | augmented reality, pedestrian-automated vehicle interaction, implemented prototypes, road crossing, theoretically-informed design |
Dates: |
|
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) |
Funding Information: | Funder Grant number EU - European Union 860410 |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jan 2022 11:51 |
Last Modified: | 25 Jun 2023 22:53 |
Status: | Published |
Publisher: | Association for Computing Machinery |
Identification Number: | 10.1145/3409118.3475149 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182917 |