Development and Evaluation of a Bayesian Low-Vision Navigation Aid
Brian J. Stankiewicz, Anthony R. Cassandra, Matthew McCabe, William Weathers · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2007
Way finding in unfamiliar environments can pose a challenge to anyone but can be particularly challenging to someone who has some sort of visual loss. In this paper, we describe an indoor navigation aid that uses Bayesian statistics to localize and guide an individual from an unspecified location within a building to a specific destination. We also present three studies investigating the efficacy of this system as a low-vision navigation aid. Two studies were conducted in virtual indoor buildings using desktop virtual reality (VR) and one study was conducted in a real building. All three studies investigated navigation performance with versus without the navigation aid. In all three studies, subjects traveled a shorter distance with the navigation aid than without it. In the VR studies, the navigation aid actually improved performance over navigating with normal vision.