VisiMark: Characterizing and Augmenting Landmarks for People with Low Vision in Augmented Reality to Support Indoor Navigation

要旨

Landmarks are critical in navigation, supporting self-orientation and mental model development. Similar to sighted people, people with low vision (PLV) frequently look for landmarks via visual cues but face difficulties identifying some important landmarks due to vision loss. We first conducted a formative study with six PLV to characterize their challenges and strategies in landmark selection, identifying their unique landmark categories (e.g., area silhouettes, accessibility-related objects) and preferred landmark augmentations. We then designed VisiMark, an AR interface that supports landmark perception for PLV by providing both overviews of space structures and in-situ landmark augmentations. We evaluated VisiMark with 16 PLV and found that VisiMark enabled PLV to perceive landmarks they preferred but could not easily perceive before, and changed PLV's landmark selection from only visually-salient objects to cognitive landmarks that are more important and meaningful. We further derive design considerations for AR-based landmark augmentation systems for PLV.

著者
Ruijia Chen
University of Wisconsin-Madison, Madison, Wisconsin, United States
Junru Jiang
University of Wisconsin-Madison, Madison, Wisconsin, United States
Pragati Maheshwary
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Brianna R. Cochran
University of Wisconsin-Madison, Madison, Wisconsin, United States
Yuhang Zhao
University of Wisconsin-Madison, Madison, Wisconsin, United States
DOI

10.1145/3706598.3713847

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713847

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: Designs for Blind and Low Vision People

G303
6 件の発表
2025-05-01 18:00:00
2025-05-01 19:30:00
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