From Breakups to Lethargy: Player Accounts of Third Variables Affecting Video Game Playtime and Wellbeing

Game UX & Player BehaviorWorkplace Wellbeing & Work StressMental Health Apps & Online Support CommunitiesGame Developers & DesignersPsychiatrists & PsychotherapistsPhysicians, Nurses & Clinicians

Paper Title

From Breakups to Lethargy: Player Accounts of Third Variables Affecting Video Game Playtime and Wellbeing

Publication Info

  • Topic area: Examining third variables (confounders) influencing video game playtime and wellbeing.
  • Keywords: video games, playtime, wellbeing, confounding variables, causal inference, mixed-methods, digital media, player narratives, observational bias, HCI.

Background and Problem

  • Problem / challenge: The relationship between video game playtime and wellbeing is poorly understood due to unmeasured confounding variables, leading to spurious correlations or masking true effects.
  • Significance: Understanding these confounders is critical for designing effective interventions, policies, and theoretical models in gaming and wellbeing research.
  • Motivation and related work: Prior studies have focused on playtime and wellbeing but often neglect time-varying confounders like health, work stress, or social strain. While some research highlights coping mechanisms or demographic factors, systematic identification and validation of confounders remain rare.

Solution

  • Proposed approach: A mixed-methods study combining qualitative template analysis of player-reported confounders with quantitative validation using within-person models of logged Xbox playtime and wellbeing scores.
  • Novelty:
    1. Systematic identification of 17 player-reported confounders across five life domains.
    2. Quantitative validation showing that three confounders (social strain, work-related stress, and lethargic illnesses) covary with playtime and wellbeing.
    3. Integration of qualitative narratives with behavioral data to inform causal modeling and address confounding in gaming research.
  • Procedure and key techniques:
    1. Study 1: Qualitative template analysis of 987 open-text responses from 393 Xbox players to identify confounders affecting both gaming and wellbeing.
    2. Study 2: Quantitative analysis using linear mixed-effects models to test whether the identified confounders covary with changes in playtime and wellbeing.

Results

  • Concrete findings:
    • 17 confounders identified, grouped into five domains: physical health, grief and domestic disruptions, work and school demands, social relationships, and other leisure availability.
    • Three confounders—social strain, work-related stress impacting leisure time, and conditions causing tiredness or loss of focus—showed statistically significant associations with both reduced playtime and wellbeing.
  • Advantage over baselines: Provides a systematic, player-grounded typology of confounders and demonstrates their potential to bias observational estimates of gaming’s effects on wellbeing.
  • Experiments / evaluation:
    • Study 1: Qualitative coding of open-text responses to identify confounders.
    • Study 2: Quantitative validation using within-person deviations in playtime and wellbeing, measured via Xbox logs and the Warwick-Edinburgh Mental Wellbeing Scale.
  • Limitations and future work:
    • Limited sample sizes for quantitative validation, reducing precision.
    • Lack of precise timing and intensity measures for confounders.
    • Focus on highly engaged Xbox players, limiting generalizability to other populations.
    • Future work should explore psychological profiles, causal webs, and comparative studies across different player demographics.

Summary

This study identifies and validates confounders that influence both video game playtime and wellbeing, addressing a critical gap in gaming research. By combining qualitative player narratives with quantitative behavioral data, the authors highlight 17 potential confounders, with three showing significant associations with reduced playtime and wellbeing. These findings emphasize the importance of modeling time-varying confounders to avoid biased estimates in observational studies. The mixed-methods approach provides a foundation for more robust causal models and actionable insights for researchers, policymakers, and game designers.

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https://hci.top/en/papers/chi/222773/2026

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DOI: https://doi.org/10.1145/3772318.3791417
At a Glance

Paper Snapshot

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Source
CHI
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Year
2026
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Authors
4 authors
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Subtopics
Game UX & Player Behavior, Workplace Wellbeing & Work Stress, Mental Health Apps & Online Support Communities
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Professions
Game Developers & Designers, Psychiatrists & Psychotherapists, Physicians, Nurses & Clinicians
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