Cynthia Bailey
2025-02-02
Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches
Thanks to Cynthia Bailey for contributing the article "Optimization of Hyperparameter Tuning in Game AI via Bayesian Approaches".
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 study examines the impact of cognitive load on player performance and enjoyment in mobile games, particularly those with complex gameplay mechanics. The research investigates how different levels of complexity, such as multitasking, resource management, and strategic decision-making, influence players' cognitive processes and emotional responses. Drawing on cognitive load theory and flow theory, the paper explores how game designers can optimize the balance between challenge and skill to enhance player engagement and enjoyment. The study also evaluates how players' cognitive load varies with game genre, such as puzzle games, action games, and role-playing games, providing recommendations for designing games that promote optimal cognitive engagement.
The future of gaming is a tapestry woven with technological innovations, creative visions, and player-driven evolution. Advancements in artificial intelligence (AI), virtual reality (VR), augmented reality (AR), cloud gaming, and blockchain technology promise to revolutionize how we play, experience, and interact with games, ushering in an era of unprecedented possibilities and immersive experiences.
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 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.
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