Explainable AI for Transparent Decision-Making in Game Systems
Raymond Henderson 2025-02-08

Explainable AI for Transparent Decision-Making in Game Systems

Thanks to Raymond Henderson for contributing the article "Explainable AI for Transparent Decision-Making in Game Systems".

Explainable AI for Transparent Decision-Making in Game Systems

This paper provides a comparative analysis of the various monetization strategies employed in mobile games, focusing on in-app purchases (IAP) and advertising revenue models. The research investigates the economic impact of these models on both developers and players, examining their effectiveness in generating sustainable revenue while maintaining player satisfaction. Drawing on marketing theory, behavioral economics, and user experience research, the study evaluates the trade-offs between IAPs, ad placements, and player retention. The paper also explores the ethical concerns surrounding monetization practices, particularly regarding player exploitation, pay-to-win mechanics, and the impact on children and vulnerable audiences.

This paper systematically reviews the growing body of literature on the use of mobile games as interventions in mental health treatment, particularly focusing on anxiety, depression, and cognitive disorders. The study examines various approaches to game-based therapy, including cognitive behavioral therapy (CBT) and mindfulness-based games, assessing their effectiveness in improving emotional well-being and mental resilience. The paper proposes a conceptual framework that integrates psychological theories with game design principles to develop therapeutic mobile games. Furthermore, the study explores the ethical implications of using mobile games for mental health interventions, such as user privacy, data security, and informed consent.

This paper investigates how different motivational theories, such as self-determination theory (SDT) and the theory of planned behavior (TPB), are applied to mobile health games that aim to promote positive behavioral changes in health-related practices. The study compares various mobile health games and their design elements, including rewards, goal-setting, and social support mechanisms, to evaluate how these elements align with motivational frameworks and influence long-term health behavior change. The paper provides recommendations for designers on how to integrate motivational theory into mobile health games to maximize user engagement, retention, and sustained behavioral modification.

This research explores the role of ethical AI in mobile game design, focusing on how AI can be used to create fair and inclusive gaming experiences. The study examines the challenges of ensuring that AI-driven game mechanics, such as matchmaking, procedural generation, and player behavior analysis, do not perpetuate bias, discrimination, or exclusion. By applying ethical frameworks from artificial intelligence, the paper investigates how developers can design AI systems that promote fairness, inclusivity, and diversity within mobile games. The research also explores the broader social implications of AI-driven game design, including the potential for AI to empower marginalized groups and provide more equitable gaming opportunities.

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.

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