Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.

Journal: Journal of medical Internet research
Published Date: Sep 15, 2020

Abstract

BACKGROUND: Reminiscence is the act of thinking or talking about personal experiences that occurred in the past. It is a central task of old age that is essential for healthy aging, and it serves multiple functions, such as decision-making and introspection, transmitting life lessons, and bonding with others. The study of social reminiscence behavior in everyday life can be used to generate data and detect reminiscence from general conversations.

Authors

  • Andrea Ferrario
    ETH Zurich, Zurich, Switzerland.
  • Burcu Demiray
    Department of Psychology, University of Zurich, Zurich, Switzerland.
  • Kristina Yordanova
    Institute of Computer Science, University of Rostock, Rostock, Germany.
  • Minxia Luo
    Department of Mathematics, China Jiliang University, Hangzhou, Zhejiang Province, 310018, China.
  • Mike Martin
    Department of Psychology, University of Zurich, Zurich, Switzerland.

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