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MemoRec – Towards a Life-Theme-Based Reminiscence Content Recommendation System for People with Dementia

  • Alexander Bejan
  • Christian Plotzky
  • Christophe Kunze
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10896)

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.

Keywords

Recommender systems Reminiscence therapy Dementia 

Notes

Acknowledgments

We especially thank all of our test persons, colleagues and partners, as well as the Federal Ministry of Education and Research (project InterMem, 16SV7322).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Alexander Bejan
    • 1
  • Christian Plotzky
    • 1
  • Christophe Kunze
    • 1
  1. 1.Furtwangen UniversityFurtwangenGermany

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