A decision-theoretic approach to task assistance for persons with dementia

Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff Fernie, Alex Mihailidis

    Research output: Contribution to conferencePaper


    Cognitive assistive technologies that aid people with dementia (such as Alzheimer’s disease) hold the promise to provide such people with an increased level of independence. However, to realize this promise, such systems must account for the specific needs and preferences of individuals. We argue that this form of customization requires a sequential, decision-theoretic model of interaction. We describe both fully and partially observable Markov decision process (POMDP) models of a handwashing task, and show that, despite the potential computational complexity, these can be effectively solved and produce policies that are evaluated as useful by professional caregivers.
    Original languageEnglish
    Publication statusPublished - 2005
    EventInternational Joint Conference on Artificial Intelligence - Edinburgh, United Kingdom
    Duration: 30 Jul 20055 Aug 2005


    ConferenceInternational Joint Conference on Artificial Intelligence
    Abbreviated titleIJCAI-05
    Country/TerritoryUnited Kingdom
    Other19th Conference
    Internet address


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