A survey of algorithmic methods for partially observed Markov decision processes
Annals of Operations Research
Ethnography, theory and systems design: from intuition to insight
International Journal of Human-Computer Studies - Understanding work and designing artefacts
Increasing the opportunities for aging in place
CUU '00 Proceedings on the 2000 conference on Universal Usability
Active Gesture Recognition Using Partially Observable markov Decision Processes
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Exploiting structure to efficiently solve large scale partially observable markov decision processes
Exploiting structure to efficiently solve large scale partially observable markov decision processes
Perseus: randomized point-based value iteration for POMDPs
Journal of Artificial Intelligence Research
Computer Vision and Image Understanding
The elderly interacting with a digital agenda through an RFID pen and a touch screen
MSIADU '09 Proceedings of the 1st ACM SIGMM international workshop on Media studies and implementations that help improving access to disabled users
Rapid specification and automated generation of prompting systems to assist people with dementia
Pervasive and Mobile Computing
People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
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We investigate technological solutions for arts therapists who work with older adults with cognitive disabilities, such as Alzheimer's disease. We present ethnographic analysis of a survey of arts therapists in the UK and Canada, and show how there is a need for devices that can be used to promote autonomy and independence through engagement with creative visual arts. We then demonstrate a novel device that uses a touch-screen interface, and artificial intelligence software to monitor and interact with a user. Using a probabilistic model, the device monitors the behaviours of a user as well as aspects of their affective or internal state, including their responsiveness and engagement with the device. The device then uses decision theoretic reasoning to take situated actions that promote engagement from the user. We show how the device fits with the ethnographic design, and we give a laboratory demonstration of the functionality of the device. We present and discuss our next steps with this device, including end user testing.