evARything, evARywhere, all at once: Exploring Scalable Holistic Autonomous Vehicle-Cyclist Interfaces

要旨

Cyclists need interfaces such as on-vehicle displays or augmented-reality (AR) glasses for effective communication with autonomous vehicles (AVs) when human drivers are no longer present. Interfaces must handle complex situations involving multiple AVs around a cyclist. Holistic AV-Cyclist Interfaces (HACIs) are a novel solution; they group interfaces into a multimodal interconnected system to support the rider. However, the best way to present information is uncertain. We explored this in a scenario with three AVs using CycleARcade, a new multi-user AR platform for designing and evaluating HACIs. Cyclists and HCI researchers collaboratively created and tested HACIs within CycleARcade through a novel iterative participatory design method. We synthesised three HACIs from this process and assessed them with riders in CycleARcade. Participants preferred HACIs with AR displays integrated into the environment to avoid road distractions, paired with spatial audio communicating AV proximity. These findings provide crucial input for the real-world deployment of AVs.

著者
Ammar Al-Taie
University of Glasgow, Glasgow, United Kingdom
Euan Freeman
University of Glasgow, Glasgow, United Kingdom
Frank Pollick
University of Glasgow, Glasgow, United Kingdom
Stephen Anthony. Brewster
University of Glasgow, Glasgow, United Kingdom
DOI

10.1145/3706598.3713412

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713412

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Automated Vehicles and XR

Annex Hall F205
7 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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