Multi-Objective Reinforcement Learning for Player-Centric AI Design
Jacob Murphy 2025-02-03

Multi-Objective Reinforcement Learning for Player-Centric AI Design

Thanks to Jacob Murphy for contributing the article "Multi-Objective Reinforcement Learning for Player-Centric AI Design".

Multi-Objective Reinforcement Learning for Player-Centric AI Design

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.

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.

This study examines the ethical implications of data collection practices in mobile games, focusing on how player data is used to personalize experiences, target advertisements, and influence in-game purchases. The research investigates the risks associated with data privacy violations, surveillance, and the exploitation of vulnerable players, particularly minors and those with addictive tendencies. By drawing on ethical frameworks from information technology ethics, the paper discusses the ethical responsibilities of game developers in balancing data-driven business models with player privacy. It also proposes guidelines for designing mobile games that prioritize user consent, transparency, and data protection.

This study evaluates the efficacy of mobile games as gamified interventions for promoting physical and mental well-being. The research examines how health-related mobile games, such as fitness games, mindfulness apps, and therapeutic games, can improve players’ physical health, mental health, and overall quality of life. By drawing on health psychology and behavioral medicine, the paper investigates how mobile games use motivational mechanics, feedback systems, and social support to encourage healthy behaviors, such as exercise, stress reduction, and dietary changes. The study also reviews the effectiveness of gamified health interventions in clinical settings, offering a critical evaluation of their potential and limitations.

This paper investigates the legal and ethical considerations surrounding data collection and user tracking in mobile games. The research examines how mobile game developers collect, store, and utilize player data, including behavioral data, location information, and in-app purchases, to enhance gameplay and monetization strategies. Drawing on data privacy laws such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), the study explores the compliance challenges that mobile game developers face and the ethical implications of player data usage. The paper provides a critical analysis of how developers can balance the need for data with respect for user privacy, offering guidelines for transparent data practices and ethical data management in mobile game development.

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