Interactive Learning and Adaptation for Robot Assisted Therapy for People with Dementia

Konstantinos Tsiakas, Cheryl Abellanoza, Fillia Makedon
2016 Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '16  
In this paper, we present an adaptive cognitive music game designed to monitor and improve the attention levels of people with dementia. The goal of this game is to provide a customized protocol based on user needs and preferences, following the Reinforcement Learning (RL) framework. The game adjusts its parameters (e.g., difficulty level) so as to help the user complete the task successfully, while keeping them engaged. The main contribution of this paper is an interactive learning and
more » ... on framework that enables and facilitates the adaptation of the robot behavior towards new users, providing a safe, tailored and efficient interaction. CCS Concepts •Computing methodologies → Reinforcement learning; Learning from implicit feedback; •Human-centered computing → Human computer interaction (HCI);
doi:10.1145/2910674.2935849 fatcat:7mu27q5k4nd25btttcuwav3yke