A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games
Brandon Barnes 2025-02-08

A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games

Thanks to Brandon Barnes for contributing the article "A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games".

A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games

This research critically examines the ethical implications of data mining in mobile games, particularly concerning the collection and analysis of player data for monetization, personalization, and behavioral profiling. The paper evaluates how mobile game developers utilize big data, machine learning, and predictive analytics to gain insights into player behavior, highlighting the risks associated with data privacy, consent, and exploitation. Drawing on theories of privacy ethics and consumer protection, the study discusses potential regulatory frameworks and industry standards aimed at safeguarding user rights while maintaining the economic viability of mobile gaming businesses.

This research applies behavioral economics theories to the analysis of in-game purchasing behavior in mobile games, exploring how psychological factors such as loss aversion, framing effects, and the endowment effect influence players' spending decisions. The study investigates the role of game design in encouraging or discouraging spending behavior, particularly within free-to-play models that rely on microtransactions. The paper examines how developers use pricing strategies, scarcity mechanisms, and rewards to motivate players to make purchases, and how these strategies impact player satisfaction, long-term retention, and overall game profitability. The research also considers the ethical concerns associated with in-game purchases, particularly in relation to vulnerable players.

Gaming has become a universal language, transcending geographical boundaries and language barriers. It allows players from all walks of life to connect, communicate, and collaborate through shared experiences, fostering friendships that span the globe. The rise of online multiplayer gaming has further strengthened these connections, enabling players to form communities, join guilds, and participate in global events, creating a sense of camaraderie and belonging in a digital world.

This paper explores the convergence of mobile gaming and artificial intelligence (AI), focusing on how AI-driven algorithms are transforming game design, player behavior analysis, and user experience personalization. It discusses the theoretical underpinnings of AI in interactive entertainment and provides an extensive review of the various AI techniques employed in mobile games, such as procedural generation, behavior prediction, and adaptive difficulty adjustment. The research further examines the ethical considerations and challenges of implementing AI technologies within a consumer-facing entertainment context, proposing frameworks for responsible AI design in games.

This paper focuses on the cybersecurity risks associated with mobile games, specifically exploring how game applications collect, store, and share player data. The study examines the security vulnerabilities inherent in mobile gaming platforms, such as data breaches, unauthorized access, and exploitation of user information. Drawing on frameworks from cybersecurity research and privacy law, the paper investigates the implications of mobile game data collection on user privacy and the broader implications for digital identity protection. The research also provides policy recommendations for improving the security and privacy protocols in the mobile gaming industry, ensuring that players’ data is adequately protected.

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