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Who is willing to play skill-adapted exergames? Influences of sociodemographic factors and social comparison processes

  • Laura M König (Corresponding author)
  • , Martina Kanning
  • , Hanna Hauptmann
  • , Tiare Feuchtner
  • , Danielle Arigo

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Physical inactivity bears risks for physical and mental health. Theoretically grounded, novel intervention approaches are needed that encourage a positive affective reaction. Exergames may provide this opportunity, especially if different skill levels of players are automatically adapted. Drawing from two pre-registered within-subjects online experiments (total N = 1931) where participants were presented with two scenarios (joining exergame as most versus least skilled player), we report on the willingness of adults to engage in (skill-adapted) exergames. We also describe individual differences in willingness based on sociodemographic characteristics and social comparison processes. Willingness was higher when joining as the most versus the least skilled player among younger (rs = −0.28) and more highly educated (rs 0.07 and 0.12) participants, and among those who owned gaming consoles (vs. not; ds 0.28 and 0.45) and had prior exergame experience (vs. not; ds −0.42 and −0.51). Men were more willing to join exergames as the least skilled player than women (d = −0.16). Social comparison orientation was positively associated with willingness (rs 0.08 to 0.22), as were tendencies to engage in upward identification (rs 0.18 and 0.21) and downward contrast (rs 0.12 and 0.17). Tailoring exergames to sociodemographic and psychological characteristics is likely to maximise their effectiveness for health promotion.

Original languageEnglish
Article number108562
JournalComputers in Human Behavior
Volume165
DOIs
Publication statusPublished - Apr 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Austrian Fields of Science 2012

  • 501002 Applied psychology

Keywords

  • Digital health
  • eHealth
  • Gamification
  • Individual differences
  • Physical activity

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