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

Ruijia Chen¹, Junru Jiang¹, Pragati Maheshwary²,
Brianna R. Cochran¹, Yuhang Zhao<sup>1

1</sup>University of Wisconsin-Madison, ²Carnegie Mellon University

CHI 2025

Paper | Study Materials | Code | Citation

VisiMark is an AR interface that supports landmark perception for people with low vision by providing both overviews of space structures and in-situ landmark augmentations. VisiMark includes two features: Signboard, an overview of hallway structures and upcoming landmarks at intersections, and In-situ Labels, world-anchored icons and texts to highlight the types and positions of landmarks in the physical environment.

In this repo, we present our study protocol (including research questions, data collection, tools, procedure and experiment design), study scripts for the evaluation, consent form for participants, and our qualitative analysis results - our codebook with themes.

We also provide our implementation of the VisiMark system and the companion phone application for customization.

Citation

@inproceedings{chen2025visimark,
  title={VisiMark: Characterizing and Augmenting Landmarks for People with Low Vision in Augmented Reality to Support Indoor Navigation},
  author={Chen, Ruijia and Jiang, Junru and Maheshwary, Pragati and Cochran, Brianna R and Zhao, Yuhang},
  booktitle={Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems},
  pages={1--20},
  year={2025}
}