Predictive Models of Player Retention: A Longitudinal Study Using Game Metrics #600747440988 (2025-02-01)

Predictive Models of Player Retention: A Longitudinal Study Using Game Metrics

Thanks to Timothy Butler for contributing the article "Predictive Models of Player Retention: A Longitudinal Study Using Game Metrics".

This study examines the ethical implications of data collection practices in mobile games, focusing on how player data is used to personalize experiences, target advertisements, and influence in-game purchases. The research investigates the risks associated with data privacy violations, surveillance, and the exploitation of vulnerable players, particularly minors and those with addictive tendencies. By drawing on ethical frameworks from information technology ethics, the paper discusses the ethical responsibilities of game developers in balancing data-driven business models with player privacy. It also proposes guidelines for designing mobile games that prioritize user consent, transparency, and data protection.

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Gaming events and conventions serve as epicenters of excitement and celebration, where developers unveil new titles, showcase cutting-edge technology, host competitive tournaments, and connect with fans face-to-face. Events like E3, Gamescom, and PAX are not just gatherings but cultural phenomena that unite gaming enthusiasts in shared anticipation, excitement, and camaraderie.

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Mobile Games as Pedagogical Tools for Teaching Computational Thinking

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Quantifying the Impact of In-Game Advertisements on Player Immersion

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