Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Communications of the ACM - Robots: intelligence, versatility, adaptivity
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Pedestrian navigation aids: information requirements and design implications
Personal and Ubiquitous Computing
ACM Transactions on Computer-Human Interaction (TOCHI)
Indoor wayfinding:: developing a functional interface for individuals with cognitive impairments
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
A context aware handheld wayfinding system for individuals with cognitive impairments
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
EyeSpy: supporting navigation through play
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Going my way: a user-aware route planner
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards a Personal Health Management Assistant
Journal of Biomedical Informatics
I can tell by the way you use your walk: real-time classification of wayfinding performance
COSIT'11 Proceedings of the 10th international conference on Spatial information theory
Tracking indoor location and motion for navigational assistance
Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology
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Individuals with cognitive impairments would prefer to live independently, however issues in wayfinding prevent many from fully living, working, and participating in their community. Our research has focused on designing, prototyping, and evaluating a mobile wayfinding system to aid such individuals. Building on the feedback gathered from potential users, we have implemented the system's automated direction selection functionality. Using a decision-theoretic approach, we believe we can create better wayfinding experience that assists users to reach their destination more intuitively than traditional navigation systems. This paper describes the system and results from a study using system-generated directions that inform us of key customization factors that would provide improved wayfinding assistance for individual users.