Self-Supervised Learning for Autonomous NPC Behavior in Large-Scale Games
Pamela Kelly 2025-02-07

Self-Supervised Learning for Autonomous NPC Behavior in Large-Scale Games

Thanks to Pamela Kelly for contributing the article "Self-Supervised Learning for Autonomous NPC Behavior in Large-Scale Games".

Self-Supervised Learning for Autonomous NPC Behavior in Large-Scale Games

This study analyzes the growth of mobile game streaming services and their impact on the mobile gaming market. It explores how cloud gaming platforms, such as Google Stadia and Microsoft’s Project xCloud, allow players to access high-quality games on low-powered devices. The paper evaluates the technical challenges of latency, bandwidth, and device compatibility, as well as the potential of mobile game streaming to democratize access to games globally.

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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.

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