Explainable Machine Learning Models for Predicting Player Retention Patterns
Karen Harris 2025-02-08

Explainable Machine Learning Models for Predicting Player Retention Patterns

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

Explainable Machine Learning Models for Predicting Player Retention Patterns

This paper explores the potential of mobile games to serve as therapeutic tools in the treatment of mental health conditions, such as anxiety, depression, and PTSD. It examines how game mechanics and immersive environments can be used to provide psychological relief, improve emotional regulation, and facilitate cognitive-behavioral therapy. The study discusses challenges in integrating therapeutic design with traditional game elements and offers recommendations for the development of clinically effective mobile health games.

This research conducts a comparative analysis of privacy policies and player awareness in mobile gaming apps, focusing on how game developers handle personal data, user consent, and data security. The study examines the transparency and comprehensiveness of privacy policies in popular mobile games, identifying common practices and discrepancies in data collection, storage, and sharing. Drawing on legal and ethical frameworks for data privacy, the paper investigates the implications of privacy violations for player trust, brand reputation, and regulatory compliance. The research also explores the role of player awareness in influencing privacy-related behaviors, offering recommendations for developers to improve transparency and empower players to make informed decisions regarding their data.

This research explores the role of big data and analytics in shaping mobile game development, particularly in optimizing player experience, game mechanics, and monetization strategies. The study examines how game developers collect and analyze data from players, including gameplay behavior, in-app purchases, and social interactions, to make data-driven decisions that improve game design and player engagement. Drawing on data science and game analytics, the paper investigates the ethical considerations of data collection, privacy issues, and the use of player data in decision-making. The research also discusses the potential risks of over-reliance on data-driven design, such as homogenization of game experiences and neglect of creative innovation.

Game streaming platforms like Twitch, YouTube Gaming, and Mixer have revolutionized how gamers consume and interact with gaming content, turning everyday players into content creators, influencers, and entertainers. Livestreamed gameplay, interactive chats, and community engagement redefine the gaming experience, transforming passive consumption into dynamic, participatory entertainment.

Gaming addiction is a complex issue that warrants attention and understanding, as some individuals struggle to find a healthy balance between their gaming pursuits and other responsibilities. It's important to promote responsible gaming habits, encourage breaks, and offer support to those who may be experiencing challenges in managing their gaming habits and overall well-being.

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