“I can run at night!": Using Augmented Reality to Support Nighttime Guided Running for Low-vision Runners

要旨

Dark environment challenges low-vision (LV) individuals to engage in running by following sighted guide—a Caller-style guided running—due to insufficient illumination, because it prevents them from using their residual vision to follow the guide and be aware about their environment. We design, develop, and evaluate RunSight, an augmented reality (AR)-based assistive tool to support LV individuals to run at night. RunSight combines see-through HMD and image processing to enhance one's visual awareness of the surrounding environment (e.g., potential hazard) and visualize the guide's position with AR-based visualization. To demonstrate RunSight's efficacy, we conducted a user study with 8 LV runners. The results showed that all participants could run at least 1km (mean = 3.44 km) using RunSight, while none could engage in Caller-style guided running without it. Our participants could run safely because they effectively synthesized RunSight-provided cues and information gained from runner-guide communication.

受賞
Honorable Mention
著者
Yuki Abe
Hokkaido University, Sapporo, Japan
Keisuke Matsushima
Hokkaido University, Sapporo, Japan
Kotaro Hara
Singapore Management University, Singapore, Singapore
Daisuke Sakamoto
Hokkaido University, Sapporo, Japan
Tetsuo Ono
Hokkaido University, Sapporo, Hokkaido, Japan
DOI

10.1145/3706598.3714284

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714284

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: XR for Different User Needs

G416+G417
6 件の発表
2025-04-30 18:00:00
2025-04-30 19:30:00
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