Affiliation:
1. Human-Centered Intelligent Systems Lab., Gwangju Institute of Science and Technology, Gwang-ju 61005, Republic of Korea
Abstract
Individuals with low vision (LV) face daily wayfinding challenges, struggling with route establishment, direction recognition, and obstacle avoidance. Mobile navigation, though commonly relied upon, often clashes with LV visual conditions, particularly central scotomas from diseases like age-related macular degeneration (AMD), hindering the relay of crucial wayfinding information. Addressing this, we introduced a novel guidance interface post-literature review. In a VR-based user study involving 25 participants simulating LV experience, our map guidance interface enabled quicker navigation, improving system usability and presence. The resulting performance paralleled that of normal-vision individuals. This study demonstrated that modifying familiar navigation interfaces effectively addresses visual impairment conflicts, enhancing outdoor navigation for individuals with LV. The modifications extend benefits, enabling comparable wayfinding ease to individuals with normal vision.
Funder
National Research Foundation of Korea
Ministry of Culture, Sports and Tourism
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
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