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Assisted Cognition

Assisted Cognition. Henry Kautz University of Washington UW Computer Science & Engineering UW Institute on Rehabilitation Medicine Technology Intel Research Seattle. Vision. Computer systems that assist people with cognitive disabilities Prompting, guiding, warning Self-adaptive

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Assisted Cognition

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  1. Assisted Cognition Henry Kautz University of Washington UW Computer Science & Engineering UW Institute on Rehabilitation Medicine Technology Intel Research Seattle

  2. Vision • Computer systems that assist people with cognitive disabilities • Prompting, guiding, warning • Self-adaptive • No explicit programming by users • Little or no instruction by caretakers • No user data-collection overhead • Directly sense environment • Robust in the face of noise & error

  3. Opportunity KnocksA Personal Guidance System for Users with Cognitive Disabilities

  4. Cognitive Problem • Wayfinding • Travel by foot, car, and public transit through local community • Problems • Becoming lost Which way do I turn? • Error recovery I missed bus stop – now what? • Disorientation Where am I going? • Result: isolation from friends, family, & social services

  5. Current Technology • GPS receivers • Difficult to program and use • Designed for drivers or wilderness hikers • Not robust • On sidewalks near buildings • In buses • How to create GPS systems that are useful for cognitively disabled individuals?

  6. Opportunity Knocks • Cell phone-based GPS system that • Learns user’s routine without any explicit data entry • Integrates information about public transportation • Predicts where user is trying to go, and offers pro-active help • Detects user errors, and helps user get back on track

  7. Opportunity Knocks Demonstrated at AAHA Future of Aging Services, Washington, DC, March, 2004

  8. Error Detection Missing the bus stop

  9. knock, knock!

  10. Recent Progress • Prototype demo’d at AAHA Future of Aging Services, Washington, DC, March 2004 • “Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services”, Donald J. Patterson, Lin Liao, Krzysztof Gajos, Dieter Fox, and Henry Kautz. Sixth International Conference on Ubiquitous Computing, Nottingham, England, 2004. • “Learning and Inferring Transportation Routines”, Lin Liao, Dieter Fox, and Henry Kautz. Best Paper Award, Nineteenth National Conference on Artificial Intelligence, San Jose, CA, 2004. • User needs & interface assessment with UW Institute on Rehabilitation Medicine Technology

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