Low vision is a visual impairment that falls short of blindness but cannot be corrected by eyeglasses or contact lenses. It is a pervasive disability and has brought a lot of difficulties to people’s daily life.
Unlike people who are blind, low vision people have residual vision and extensively use their vision in daily activities.
However, prior research has mainly focused on providing only audio and tactile feedback for blind users, overlooking low vision people’s residual vision and unique needs.
To address this gap in low vision accessibility, Yuhang Zhao, a postdoctoral researcher at Cornell Tech, seeks to leverage the residual vision that low vision people have, and design intelligent augmented reality (AR) systems that provide direct visual augmentations according to the users' visual abilities and tasks.
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