Jesse Hoey Title: People, Sensors, Decisions: Customizable and Adaptive Technologies for Assistance in Healthcare Abstract: A wide application area for technology in healthcare is for assistance and monitoring in the home. As the population ages, it becomes increasingly dependent on chronic health care, such as assistance for tasks of everyday life (washing, cooking, dressing), medication taking, nutrition and fitness. This talk will present a decision theoretic model for general purpose assistance in the home, and will show how this type of general model can be applied to a range of assistance tasks, including prompting for activities of daily living, and stroke rehabilitation. This model is a partially observable Markov decision process (POMDP) that can be customized by end users, that can integrate complex sensor information, and that can adapt over time. These three characteristics of the POMDP model will allow for increasing uptake and long-term efficiency and robustness of technology for assistance.