A Decision-Theoretic Approach to Task Assistance for Persons with Dementia
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1293-1298.
Abstract
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.
@inproceedings{ijcai2005p140,
title = {A Decision-Theoretic Approach to Task Assistance for Persons with Dementia},
author = {Boger, Jennifer and Poupart, Pascal and Hoey, Jesse and Boutilier, Craig and Fernie, Geoff R. and Mihailidis, Alex},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1293--1298},
year = {2005},
url = {https://ijcai.org/proceedings/2005/140},
}
TY - CPAPER TI - A Decision-Theoretic Approach to Task Assistance for Persons with Dementia AU - Boger, Jennifer AU - Poupart, Pascal AU - Hoey, Jesse AU - Boutilier, Craig AU - Fernie, Geoff R. AU - Mihailidis, Alex T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1293 EP - 1298 UR - https://ijcai.org/proceedings/2005/140 ER -Copied
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