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Abstract/Summary
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<jats:p> Abstract: Introduction: The current state of research suggests that personal, environmental, and product-related risk factors contribute to the development and maintenance of gaming disorder. Concerning game related risk factors, evidence points to certain game features contributing to the overall risk of gaming disorder, as for example reward features, social features, and monetization features. However, no standardized instrument is available to capture risk enhancing game characteristics. Methods: Based on theoretical considerations and stepwise conducted qualitative analyses of in-game content, risk-enhancing game features were identified and specified. Furthermore, a pilot study was conducted comprising N = 4,468 students ( M[Age] = 14.54 years, SD = 1.37 years). Game features of the preferred games of the students were analyzed regarding their predictive value of gaming disorder. Results: Data suggests that two features are associated most strongly with gaming disorder: 1) mandatory social interactions ( β = .20), and 2) number of reward categories ( β = .12). Based on these findings and further updates, the RCCG was refined and finalized. Conclusions: With the RCCG, a structured instrument to capture, describe, and evaluate risk enhancing structural characteristics of video games is available. The RCCG enables a general risk assessment of games as well as recommended age-classifications based on certain structural features unsuitable for specific age groups. </jats:p>
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Hinweis
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DeepGreen-ID: 58b50bc57e4f4451a7f0c82ff3998aec ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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