Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning.

Journal: Journal of behavioral addictions
PMID: 37943343

Abstract

BACKGROUND AND AIMS: Gaming disorder [GD] risk has been associated with the way gamers bond with their visual representation (i.e., avatar) in the game-world. More specifically, a gamer's relationship with their avatar has been shown to provide reliable mental health information about the user in their offline life, such as their current and prospective GD risk, if appropriately decoded.

Authors

  • Vasileios Stavropoulos
    College of Health and Biomedicine, Royal Melbourne Institute of Technology (RMIT), Australia; Department of Psychology, University of Athens, Athens, Greece.
  • Daniel Zarate
    College of Health and Biomedicine, Royal Melbourne Institute of Technology (RMIT), Australia. Electronic address: Daniel.zarate@live.vu.edu.au.
  • Maria Prokofieva
    Institute for Health and Sport, Victoria University, Melbourne, Australia.
  • Noirin Van de Berg
    4The Three Seas Psychology, Australia.
  • Leila Karimi
    1Department of Psychology, Applied Health, School of Health and Biomedical Sciences, RMIT University, Australia.
  • Angela Gorman Alesi
    5Catholic Care Victoria, Australia.
  • Michaella Richards
    6Mighty Serious, Australia.
  • Soula Bennet
    7Quantum Victoria, Australia.
  • Mark D Griffiths
    2International Gaming Research Unit, Psychology Department, Nottingham Trent University, 50 Shakespeare Street, Nottingham, NG1 4FQ UK.

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