Explainable Machine Learning Models for Predicting Player Retention Patterns
Patricia Brown 2025-02-04

Explainable Machine Learning Models for Predicting Player Retention Patterns

Thanks to Patricia Brown for contributing the article "Explainable Machine Learning Models for Predicting Player Retention Patterns".

Explainable Machine Learning Models for Predicting Player Retention Patterns

The future of gaming is a tapestry woven with technological innovations, creative visions, and player-driven evolution. Advancements in artificial intelligence (AI), virtual reality (VR), augmented reality (AR), cloud gaming, and blockchain technology promise to revolutionize how we play, experience, and interact with games, ushering in an era of unprecedented possibilities and immersive experiences.

This paper explores the psychological effects of mobile games on children and adolescents, focusing on cognitive, emotional, and social development. The study analyzes how exposure to different types of mobile games—ranging from educational games to violent action games—affects cognitive abilities, social skills, and emotional regulation. Drawing on developmental psychology and media studies, the research examines the short- and long-term implications of mobile gaming for children’s learning outcomes, attention span, and behavior patterns. The paper also considers the role of parents and educators in guiding children’s gaming experiences, offering recommendations for responsible gaming and age-appropriate game design.

This paper examines the rise of cross-platform mobile gaming, where players can access the same game on multiple devices, such as smartphones, tablets, and PCs. It analyzes the technologies that enable seamless cross-platform play, including cloud synchronization and platform-agnostic development tools. The research also evaluates how cross-platform compatibility enhances user experience, providing greater flexibility and reducing barriers to entry for players.

This paper examines the application of behavioral economics and game theory in understanding consumer behavior within the mobile gaming ecosystem. It explores how concepts such as loss aversion, anchoring bias, and the endowment effect are leveraged by mobile game developers to influence players' in-game spending, decision-making, and engagement. The study also introduces game-theoretic models to analyze the strategic interactions between developers, players, and other stakeholders, such as advertisers and third-party service providers, proposing new models for optimizing user acquisition and retention strategies in the competitive mobile game market.

This paper investigates the role of social influence in mobile games, focusing on how social networks, peer pressure, and social comparison affect player behavior and in-game purchasing decisions. The study examines how features such as leaderboards, friend lists, and social sharing options influence players’ motivations to engage with the game and spend money on in-game items. Drawing on social psychology and behavioral economics, the research explores how players' decisions are shaped by their interactions with others in the game environment. The paper also discusses the ethical implications of using social influence to drive in-game purchases, particularly in relation to vulnerable players and addiction risk.

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