<!doctype html><html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" prefix="og: http://ogp.me/ns#"> <head> <meta charset="utf-8"> <meta name="applicable-device" content="pc,mobile"> <meta name="viewport" content="width=device-width, initial-scale=1"> <title>Machine Learning for Adaptive Object Placement in AR Games #939939815208 (2025-01-31)</title> <link rel="canonical" href="https://qk1w9p.mit-edu.top/post/6450731892"> <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;700&display=swap"> <link rel="stylesheet" href="https://x.mit-edu.top/static/css/style.css"> <script src="https://x.mit-edu.top/static/js/lazysizes.min.js" async></script> <link rel="shortcut icon" href="/favicon.ico"> <!-- Open Graph Metadata --> <meta property="og:type" content="article" /> <meta property="og:title" content="Machine Learning for Adaptive Object Placement in AR Games" /> <meta property="og:description" content="Machine Learning for Adaptive Object Placement in AR Games #939939815208 (2025-01-31)" /> <meta property="og:url" content="https://qk1w9p.mit-edu.top/post/6450731892" /> <meta property="og:site_name" content="mit-edu.top" /> <meta property="og:image" content="https://x.mit-edu.top/static/images/post/14.jpg" /> <meta property="og:article:published_time" content="2025-01-31T10:01:50Z" /> <meta property="og:article:author" content="Dr. Evelyn Griffin" /> <meta property="og:article:section" content="mit-edu.top" /> <meta property="og:article:tag" content="Games, Mobile Games, Video Games" /> <!-- Schema.org --> <script type="application/ld+json">{ "@context": "https://schema.org", "@type": "ScholarlyArticle", "headline": "Machine Learning for Adaptive Object Placement in AR Games #939939815208 (2025-01-31)", "author": { "@type": "Person", "name": "Dr. Evelyn Griffin", "affiliation": { "@type": "Organization", "name": "mit-edu.top" }, "url": "https://qk1w9p.mit-edu.top/post/6450731892" }, "datePublished": "2025-01-31T10:01:50Z", "image": "https://x.mit-edu.top/static/images/post/14.jpg", "journal": { "@type": "Periodical", "name": "mit-edu.top", "issn": "10.1069/939939815208" }, "publisher": { "@type": "Organization", "name": "mit-edu.top", "url": "https://qk1w9p.mit-edu.top" }, "doi": "939939815208", "abstract": "Machine Learning for Adaptive Object Placement in AR Games #939939815208 (2025-01-31)", "citation": { "@type": "CreativeWork", "name": "Machine Learning for Adaptive Object Placement in AR Games", "author": "Dr. Evelyn Griffin", "datePublished": "2025-01-31T10:01:50Z", "url": "https://qk1w9p.mit-edu.top/post/6450731892" } } </script></head> <body> <div class="site-mobile-menu site-navbar-target"> <div class="site-mobile-menu-header"> <div class="site-mobile-menu-close"> <span class="icofont-close js-menu-toggle"></span> </div> </div> <div class="site-mobile-menu-body"></div> </div> <nav class="site-nav"> <div class="container"> <div class="site-navigation"> <div class="row"> <div class="col-md-6 text-center order-1 order-md-2 mb-3 mb-md-0"> <a href="https://qk1w9p.mit-edu.top" class="logo m-0 text-uppercase">mit-edu.top</a> </div> <div class="col-md-3 order-3 order-md-1"> </div> </div> </div> </div> </nav> <div class="section post-section pt-5"> <div class="container"> <div class="row justify-content-center"> <div class="col-lg-8"> <div class="text-center"> <img src="https://x.mit-edu.top/static/images/user/5.jpg" alt="Machine Learning for Adaptive Object Placement in AR Games" title="Machine Learning for Adaptive Object Placement in AR Games" class="author-pic img-fluid rounded-circle mx-auto"> </div> <span class="d-block text-center">Evelyn Griffin</span> <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-01-31</span> <h2 class="heading text-center">Machine Learning for Adaptive Object Placement in AR Games</h2> <p class="lead mb-4 text-center">Thanks to Evelyn Griffin for contributing the article "Machine Learning for Adaptive Object Placement in AR Games". </p> <img src="https://x.mit-edu.top/static/images/post/14.jpg" alt="Machine Learning for Adaptive Object Placement in AR Games" title="Machine Learning for Adaptive Object Placement in AR Games" class="img-fluid rounded mb-4 lazyload"> <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><p>This paper examines the application of behavioral economics and game theory in understanding consumer behavior within the mobile gaming ecosystem. It explores how concepts such as loss aversion, anchoring bias, and the endowment effect are leveraged by mobile game developers to influence players' in-game spending, decision-making, and engagement. The study also introduces game-theoretic models to analyze the strategic interactions between developers, players, and other stakeholders, such as advertisers and third-party service providers, proposing new models for optimizing user acquisition and retention strategies in the competitive mobile game market.</p><p>This research explores how mobile gaming influences consumer behavior, particularly in relation to brand loyalty and purchasing decisions. It examines how in-game advertisements, product placements, and brand collaborations impact players’ perceptions and engagement with brands. The study also looks at the role of mobile gaming in shaping consumer trends, with a particular focus on young, tech-savvy demographics.</p><p>This study applies social network analysis (SNA) to investigate the role of social influence and network dynamics in mobile gaming communities. It examines how social relationships, information flow, and peer-to-peer interactions within these communities shape player behavior, preferences, and engagement patterns. The research builds upon social learning theory and network theory to model the spread of gaming behaviors, including game adoption, in-game purchases, and the sharing of strategies and achievements. The study also explores how mobile games leverage social influence mechanisms, such as multiplayer collaboration and social rewards, to enhance player retention and lifetime value.</p><p>This study examines the psychological effects of mobile game addiction, including its impact on mental health, social relationships, and academic performance. 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