Deep Graph Neural Networks for Modeling Social Interactions in Multiplayer Games
Anna Ross 2025-02-01

Deep Graph Neural Networks for Modeling Social Interactions in Multiplayer Games

Thanks to Anna Ross for contributing the article "Deep Graph Neural Networks for Modeling Social Interactions in Multiplayer Games".

Deep Graph Neural Networks for Modeling Social Interactions in Multiplayer Games

This research investigates how mobile gaming influences cognitive skills such as problem-solving, attention span, and spatial reasoning. It analyzes both positive and negative effects, providing insights into the potential educational benefits and drawbacks of mobile gaming.

This systematic review examines existing literature on the effects of mobile gaming on mental health, identifying both beneficial and detrimental outcomes. It provides evidence-based recommendations for stakeholders in the gaming industry and healthcare sectors.

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This paper applies Cognitive Load Theory (CLT) to the design and analysis of mobile games, focusing on how game mechanics, narrative structures, and visual stimuli impact players' cognitive load during gameplay. The study investigates how high levels of cognitive load can hinder learning outcomes and gameplay performance, especially in complex puzzle or strategy games. By combining cognitive psychology and game design theory, the paper develops a framework for balancing intrinsic, extraneous, and germane cognitive load in mobile game environments. The research offers guidelines for developers to optimize user experiences by enhancing mental performance and reducing cognitive fatigue.

This paper explores the convergence of mobile gaming and artificial intelligence (AI), focusing on how AI-driven algorithms are transforming game design, player behavior analysis, and user experience personalization. It discusses the theoretical underpinnings of AI in interactive entertainment and provides an extensive review of the various AI techniques employed in mobile games, such as procedural generation, behavior prediction, and adaptive difficulty adjustment. The research further examines the ethical considerations and challenges of implementing AI technologies within a consumer-facing entertainment context, proposing frameworks for responsible AI design in games.

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