Explainable Machine Learning Models for Predicting Player Retention Patterns
Sandra Scott 2025-02-10

Explainable Machine Learning Models for Predicting Player Retention Patterns

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

Explainable Machine Learning Models for Predicting Player Retention Patterns

This research explores the potential of augmented reality (AR)-powered mobile games for enhancing educational experiences. The study examines how AR technology can be integrated into mobile games to provide immersive learning environments where players interact with both virtual and physical elements in real-time. Drawing on educational theories and gamification principles, the paper explores how AR mobile games can be used to teach complex concepts, such as science, history, and mathematics, through interactive simulations and hands-on learning. The research also evaluates the effectiveness of AR mobile games in fostering engagement, retention, and critical thinking in educational contexts, offering recommendations for future development.

This study examines the political economy of mobile game development, focusing on the labor dynamics, capital flows, and global supply chains that underpin the mobile gaming industry. The research investigates how outsourcing, labor exploitation, and the concentration of power in the hands of large multinational corporations shape the development and distribution of mobile games. Drawing on Marxist economic theory and critical media studies, the paper critiques the economic models that drive the mobile gaming industry and offers a critical analysis of the ethical, social, and political implications of the industry's global production networks.

This study explores the role of artificial intelligence (AI) and procedural content generation (PCG) in mobile game development, focusing on how these technologies can create dynamic and ever-changing game environments. The paper examines how AI-powered systems can generate game content such as levels, characters, items, and quests in response to player actions, creating highly personalized and unique experiences for each player. Drawing on procedural generation theories, machine learning, and user experience design, the research investigates the benefits and challenges of using AI in game development, including issues related to content coherence, complexity, and player satisfaction. The study also discusses the future potential of AI-driven content creation in shaping the next generation of mobile games.

Esports, the competitive gaming phenomenon, has experienced an unprecedented surge in popularity, evolving into a multi-billion-dollar industry with professional players competing for lucrative prize pools in tournaments watched by millions of viewers worldwide. The rise of esports has not only elevated gaming to a mainstream spectacle but has also paved the way for new career opportunities and avenues for aspiring gamers to showcase their skills on a global stage.

This research delves into the phenomenon of digital addiction within the context of mobile gaming, focusing on the psychological mechanisms that contribute to excessive play. The study draws on addiction psychology, neuroscience, and behavioral science to explore how mobile games utilize reward systems, variable reinforcement schedules, and immersive experiences to keep players engaged. The paper examines the societal impacts of mobile gaming addiction, including its effects on productivity, relationships, and mental health. Additionally, it offers policy recommendations for mitigating the negative effects of mobile game addiction, such as implementing healthier game design practices and promoting responsible gaming habits.

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