{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:51:20Z","timestamp":1782989480983,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"abstract":"<jats:p>Understanding how video gaming relates to psychological well-being remains challenging, as prior studies rely on cross-sectional designs prone to construct overlap and limited longitudinal sampling. This study develops a player-agnostic machine learning framework to predict short-horizon well-being from preceding gameplay behavior. Methods: Using the PowerWash Simulator Open Dataset (8,372 players), 34 features are extracted from 2-hour gameplay windows preceding each response. A tertile-based binary classification (low vs high well-being) is constructed, excluding the middle group, with thresholds computed within each training fold to prevent leakage. Five-fold GroupKFold validation ensures zero player overlaps. SHAP is used for interpretability. Results: LightGBM achieved 81.1% accuracy (AUC=89.9%) without prior well-being features. SHAP identified enjoyment, focus, and autonomy as dominant predictors. Conclusion: Short-term gameplay patterns demonstrate strong predictive power for well-being, enabling interpretable, real-time monitoring systems grounded in behavioral and psychological indicators.<\/jats:p>","DOI":"10.3233\/shti260928","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:03:24Z","timestamp":1782986604000},"source":"Crossref","is-referenced-by-count":0,"title":["Short-Horizon Prediction of Player Well-Being from Gameplay Behavior and Psychological Signals"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1972-1556","authenticated-orcid":false,"given":"Eleftherios","family":"Vouzis","sequence":"first","affiliation":[{"name":"Department of Digital Systems, University of Piraeus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6939-9662","authenticated-orcid":false,"given":"Nikolaos","family":"Vouzis","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5832-7915","authenticated-orcid":false,"given":"Paschalina","family":"Lialiou","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus"},{"name":"Faculty of Nursing, School of Health Sciences, National and Kapodistrian University of Athens"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2860-399X","authenticated-orcid":false,"given":"Ilias","family":"Maglogiannis","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:03:24Z","timestamp":1782986604000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260928","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}