Remind Me: An Adaptive Recommendation-Based Simulation of Biographic Associations
Proceedings of the 21th International Conference on Intelligent User Interfaces (IUI), page 191-195. ACM, (2016)Abstract
Classical reminiscence therapy has been shown to effectively enhance the stability of memory and identity in people with dementia. Typically, reminiscence therapy uses biography artifacts like photos and personal items and objects. Today, many of these artifacts are from the digital realm providing new options to adapt or even improve the purely analog therapy. In this work we propose a method to enhance reminiscence therapy by computer simulated biographic associations. Our approach provides assistance for associative reasoning on affective stimuli and thus enables access to biographic content so that no deliberate search is required. We develop a recommender model for mapping mental states to biographic content based on similarity. The system dynamically adapts its state and the depicted digital artifacts to the responses of the user. It is a first step towards an immersive reminiscence therapy which will incorporate associated stimuli on multiple channels to increase effectiveness. A preliminary study showed encouraging results concerning the usability of the system.
