CogWatch: Intelligent agent-based system to assist stroke survivors during tea-making

Stroke survivors often have difficulties performing Activities of Daily Living (ADL). When they try to complete a task, they tend to rely on caregivers who give them cues when necessary. However, this reliance on caregivers´ support may affect their ability to live an independent life. Hence, to tackle this issue, while giving them the guidance they need during ADL, the development of a specific Intelligent Assistive Planning System (AIPS) may be beneficial. In this paper, the design of CogWatch, which is a system implemented to assist stroke survivors during tea-making, is described. The Markov Decision Process framework that can be used in such a context, and which can potentially model any sequential tasks, is also explained. Finally, preliminary results involving twelve patients interacting with the system are analysed, and future plans are discussed.