Explainable Machine Learning Models for Predicting Player Retention Patterns
Margaret Allen 2025-02-02

Explainable Machine Learning Models for Predicting Player Retention Patterns

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

Explainable Machine Learning Models for Predicting Player Retention Patterns

This research critically examines the ethical considerations of marketing practices in the mobile game industry, focusing on how developers target players through personalized ads, in-app purchases, and player data analysis. The study investigates the ethical implications of targeting vulnerable populations, such as minors, by using persuasive techniques like loot boxes, microtransactions, and time-limited offers. Drawing on ethical frameworks in marketing and consumer protection law, the paper explores the balance between business interests and player welfare, emphasizing the importance of transparency, consent, and social responsibility in game marketing. The research also offers recommendations for ethical advertising practices that avoid manipulation and promote fair treatment of players.

This study explores the application of mobile games and gamification techniques in the workplace to enhance employee motivation, engagement, and productivity. The research examines how mobile games, particularly those designed for workplace environments, integrate elements such as leaderboards, rewards, and achievements to foster competition, collaboration, and goal-setting. Drawing on organizational behavior theory and motivation psychology, the paper investigates how gamification can improve employee performance, job satisfaction, and learning outcomes. The study also explores potential challenges, such as employee burnout, over-competitiveness, and the risk of game fatigue, and provides guidelines for designing effective and sustainable workplace gamification systems.

This research explores the intersection of mobile gaming and digital citizenship, with a focus on the ethical, social, and political implications of gaming in the digital age. Drawing on sociotechnical theory, the study examines how mobile games contribute to the development of civic behaviors, digital literacy, and ethical engagement in online communities. It also explores the role of mobile games in shaping identity, social responsibility, and participatory culture. The paper critically evaluates the positive and negative impacts of mobile games on digital citizenship, and offers policy recommendations for fostering ethical game design and responsible player behavior in the digital ecosystem.

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.

This study examines how mobile games can contribute to the development of smart cities, focusing on the integration of gaming technologies with urban planning, sustainability initiatives, and civic engagement efforts. The paper investigates the potential of mobile games to facilitate smart city initiatives, such as crowd-sourced data collection, environmental monitoring, and social participation. By exploring the intersection of gaming, urban studies, and IoT, the research discusses how mobile games can play a role in addressing contemporary challenges in urban sustainability, mobility, and governance.

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