Explainable Machine Learning Models for Predicting Player Retention Patterns
Cynthia Bailey 2025-02-02

Explainable Machine Learning Models for Predicting Player Retention Patterns

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

Explainable Machine Learning Models for Predicting Player Retention Patterns

The rise of e-sports has elevated gaming to a competitive arena, where skill, strategy, and teamwork converge to create spectacles that rival traditional sports. From epic tournaments with massive prize pools to professional leagues with dedicated fan bases, e-sports has become a global phenomenon, showcasing the talent and dedication of gamers worldwide. The adrenaline-fueled battles and nail-biting finishes not only entertain but also inspire a new generation of aspiring gamers and professional athletes.

This study compares the educational efficacy of mobile games designed for learning with those created purely for entertainment purposes, examining their impacts on knowledge retention, critical thinking, and problem-solving skills. Drawing from educational theory, cognitive psychology, and game design, the research evaluates how various game mechanics—such as points, challenges, and feedback loops—affect learning outcomes. The paper investigates how mobile games can bridge the gap between fun and education, proposing a framework for creating hybrid games that are both enjoyable and educational. The research also addresses the challenges of assessing learning outcomes in gamified environments and the role of player motivation in educational success.

This paper explores the integration of artificial intelligence (AI) in mobile game design to enhance player experience through adaptive gameplay systems. The study focuses on how AI-driven algorithms adjust game difficulty, narrative progression, and player interaction based on individual player behavior, preferences, and skill levels. Drawing on theories of personalized learning, machine learning, and human-computer interaction, the research investigates the potential for AI to create more immersive and personalized gaming experiences. The paper also examines the ethical considerations of AI in games, particularly concerning data privacy, algorithmic bias, and the manipulation of player behavior.

The storytelling in video games has matured into an art form, offering players complex narratives filled with rich characters, moral dilemmas, and emotionally resonant experiences that rival those found in literature and cinema. Players are no longer passive consumers but active participants in interactive narratives, shaping the outcome of stories through their choices and actions. This interactive storytelling blurs the line between player and protagonist, creating deeply personal and immersive narratives that leave a lasting impact.

This study examines the role of social influence in mobile game engagement, focusing on how peer behavior, social norms, and social comparison processes shape player motivations and in-game actions. By drawing on social psychology and network theory, the paper investigates how players' social circles, including friends, family, and online communities, influence their gaming habits, preferences, and spending behavior. The research explores how mobile games leverage social influence through features such as social media integration, leaderboards, and team-based gameplay. The study also examines the ethical implications of using social influence techniques in game design, particularly regarding manipulation, peer pressure, and the potential for social exclusion.

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