Predicting social anxiety disorder based on communication logs and social network data from a massively multiplayer online game: Using a graph neural network.

Journal: Psychiatry and clinical neurosciences
PMID: 40007197

Abstract

AIM: Social anxiety disorder (SAD) is a mental disorder that requires early detection and treatment. However, some individuals with SAD avoid face-to-face evaluations, which leads to delayed detection. We aim to predict individuals with SAD based on their communication logs and social network data from a massively multiplayer online game (MMOG).

Authors

  • Kenji Yokotani
    Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima, Japan.
  • Masanori Takano
    Multidisciplinary Information Science Center, CyberAgent, Inc., Tokyo, Japan.
  • Nobuhito Abe
    Institute for the Future of Human Society, Kyoto University, Kyoto, Japan.
  • Takahiro A Kato
    Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

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