Abstract
In line with statistical predictions, the age-correlated condition of dementia may become a major societal challenge in the 21st century. As technology-supported reminiscence therapy is a potentially effective way to maintain the well-being of people with dementia, we propose a reminiscence recommender system that aims to lower the caregiver burden and allow for the efficient conduction of individually tailored reminiscence sessions. This paper describes the underlying technologies of the MemoRec system as well as the promising results of the preliminary study.
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Bejan, A., Plotzky, C., & Kunze, C. (2018). MemoRec – Towards a life-theme-based reminiscence content recommendation system for people with Dementia. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10896 LNCS, pp. 509–513). Springer Verlag. https://doi.org/10.1007/978-3-319-94277-3_79
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