<!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>Explainable AI Models for Enhancing Player Trust in Competitive Games #726822399935 (2025-02-03)</title> <link rel="canonical" href="https://fghisc.mit-edu.top/post/1260389745"> <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="Explainable AI Models for Enhancing Player Trust in Competitive Games" /> <meta property="og:description" content="Explainable AI Models for Enhancing Player Trust in Competitive Games #726822399935 (2025-02-03)" /> <meta property="og:url" content="https://fghisc.mit-edu.top/post/1260389745" /> <meta property="og:site_name" content="mit-edu.top" /> <meta property="og:image" content="https://x.mit-edu.top/static/images/post/3.jpg" /> <meta property="og:article:published_time" content="2025-02-03T03:12:37Z" /> <meta property="og:article:author" content="Dr. Margaret Allen" /> <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": "Explainable AI Models for Enhancing Player Trust in Competitive Games #726822399935 (2025-02-03)", "author": { "@type": "Person", "name": "Dr. Margaret Allen", "affiliation": { "@type": "Organization", "name": "mit-edu.top" }, "url": "https://fghisc.mit-edu.top/post/1260389745" }, "datePublished": "2025-02-03T03:12:37Z", "image": "https://x.mit-edu.top/static/images/post/3.jpg", "journal": { "@type": "Periodical", "name": "mit-edu.top", "issn": "10.1069/726822399935" }, "publisher": { "@type": "Organization", "name": "mit-edu.top", "url": "https://fghisc.mit-edu.top" }, "doi": "726822399935", "abstract": "Explainable AI Models for Enhancing Player Trust in Competitive Games #726822399935 (2025-02-03)", "citation": { "@type": "CreativeWork", "name": "Explainable AI Models for Enhancing Player Trust in Competitive Games", "author": "Dr. Margaret Allen", "datePublished": "2025-02-03T03:12:37Z", "url": "https://fghisc.mit-edu.top/post/1260389745" } } </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://fghisc.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/7.jpg" alt="Explainable AI Models for Enhancing Player Trust in Competitive Games" title="Explainable AI Models for Enhancing Player Trust in Competitive Games" class="author-pic img-fluid rounded-circle mx-auto"> </div> <span class="d-block text-center">Margaret Allen</span> <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-03</span> <h2 class="heading text-center">Explainable AI Models for Enhancing Player Trust in Competitive Games</h2> <p class="lead mb-4 text-center">Thanks to Margaret Allen for contributing the article "Explainable AI Models for Enhancing Player Trust in Competitive Games". </p> <img src="https://x.mit-edu.top/static/images/post/3.jpg" alt="Explainable AI Models for Enhancing Player Trust in Competitive Games" title="Explainable AI Models for Enhancing Player Trust in Competitive Games" class="img-fluid rounded mb-4 lazyload"> <p>This study explores the role of user-generated content (UGC) in mobile games, focusing on how player-created game elements, such as levels, skins, and mods, contribute to game longevity and community engagement. The research examines how allowing players to create and share content within a game environment enhances player investment, creativity, and social interaction. Drawing on community-building theories and participatory culture, the paper investigates the challenges and benefits of incorporating UGC features into mobile games, including the technical, social, and legal considerations. The study also evaluates the potential for UGC to drive game evolution and extend the lifespan of mobile games by continually introducing fresh content.</p><p>This study investigates the privacy and data security issues associated with mobile gaming, focusing on data collection practices, user consent, and potential vulnerabilities. It proposes strategies for enhancing data protection and ensuring user privacy.</p><p>Gamification extends beyond entertainment, infiltrating sectors such as marketing, education, and workplace training with game-inspired elements such as leaderboards, achievements, and rewards systems. By leveraging gamified strategies, businesses enhance user engagement, foster motivation, and drive desired behaviors, harnessing the power of play to achieve tangible goals and outcomes.</p><p>This research investigates how machine learning (ML) algorithms are used in mobile games to predict player behavior and improve game design. The study examines how game developers utilize data from players’ actions, preferences, and progress to create more personalized and engaging experiences. Drawing on predictive analytics and reinforcement learning, the paper explores how AI can optimize game content, such as dynamically adjusting difficulty levels, rewards, and narratives based on player interactions. The research also evaluates the ethical considerations surrounding data collection, privacy concerns, and algorithmic fairness in the context of player behavior prediction, offering recommendations for responsible use of AI in mobile games.</p><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. 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