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<img src="https://x.mit-edu.top/static/images/user/7.jpg" alt="Deep Learning-Driven Procedural Terrain Generation for Mobile Games" title="Deep Learning-Driven Procedural Terrain Generation for Mobile Games" class="author-pic img-fluid rounded-circle mx-auto">
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<span class="d-block text-center">Samuel Jenkins</span>
<span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-07</span>
<h2 class="heading text-center">Deep Learning-Driven Procedural Terrain Generation for Mobile Games</h2>
<p class="lead mb-4 text-center">Thanks to Samuel Jenkins for contributing the article "Deep Learning-Driven Procedural Terrain Generation for Mobile Games".
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<img src="https://x.mit-edu.top/static/images/post/13.jpg" alt="Deep Learning-Driven Procedural Terrain Generation for Mobile Games" title="Deep Learning-Driven Procedural Terrain Generation for Mobile Games" class="img-fluid rounded mb-4 lazyload">
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<p>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.</p>
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