Scott Bennett
2025-02-06
Contrastive Learning for Enhancing NPC Realism in Open-World Games
Thanks to Scott Bennett for contributing the article "Contrastive Learning for Enhancing NPC Realism in Open-World Games".
This paper examines the integration of artificial intelligence (AI) in the design of mobile games, focusing on how AI enables adaptive game mechanics that adjust to a player’s behavior. The research explores how machine learning algorithms personalize game difficulty, enhance NPC interactions, and create procedurally generated content. It also addresses challenges in ensuring that AI-driven systems maintain fairness and avoid reinforcing harmful stereotypes.
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This longitudinal study investigates the effectiveness of gamification elements in mobile fitness games in fostering long-term behavioral changes related to physical activity and health. By tracking player behavior over extended periods, the research assesses the impact of in-game rewards, challenges, and social interactions on players’ motivation and adherence to fitness goals. The paper employs a combination of quantitative and qualitative methods, including surveys, biometric data, and in-game analytics, to provide a comprehensive understanding of how game mechanics influence physical activity patterns, health outcomes, and sustained engagement.
This study investigates how mobile games can encourage physical activity among players, focusing on games that incorporate movement and exercise. It evaluates the effectiveness of these games in promoting health and fitness.
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