25 citations · 28 across the 4 of their papers we have counts for
4 papers
What to Distinguish and How? Opportunities and Challenges of Augmenting Multiple, Cluttered Objects in Complex Scenes for People with Low Vision
Yuheng Wu, Ruijia Chen, Jaewook Lee +8
People with low vision (PLV) struggle to perceive complex scenes like busy kitchens and crowded streets, which contain many objects, visual clutter, and dynamic elements. Prior AR…
VRSight: An AI-Driven Scene Description System to Improve Virtual Reality Accessibility for Blind People
Daniel Killough, Justin Feng, Zheng Xue "ZX" Ching +4
Virtual Reality (VR) is inaccessible to blind people. While research has investigated many techniques to enhance VR accessibility, they require additional developer effort to integ…
AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos
Zheng Ning, Leyang Li, Daniel Killough +6
Videos offer rich audiovisual information that can support people in performing activities of daily living (ADLs), but they remain largely inaccessible to blind or low-vision (BLV)…
CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low Vision
Jaewook Lee, Andrew D. Tjahjadi, Jiho Kim +6
Cooking is a central activity of daily living, supporting independence as well as mental and physical health. However, prior work has highlighted key barriers for people with low v…