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Source: https://blog-998446334758.mit-edu.top/post/9481273506

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  32.                "name": "Dr. Steven Mitchell",
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  52.            "abstract": "Modeling Social Influence on Player Decision-Making in Multiplayer Environments #300605914182 (2025-02-01)",
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  93.                    <span class="d-block text-center">Steven Mitchell</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-01</span>
  95.                    <h2 class="heading text-center">Modeling Social Influence on Player Decision-Making in Multiplayer Environments</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Steven Mitchell for contributing the article "Modeling Social Influence on Player Decision-Making in Multiplayer Environments".
  97.                    </p>
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  99.                    <p>This study examines the ethical implications of data collection practices in mobile games, focusing on how player data is used to personalize experiences, target advertisements, and influence in-game purchases. The research investigates the risks associated with data privacy violations, surveillance, and the exploitation of vulnerable players, particularly minors and those with addictive tendencies. By drawing on ethical frameworks from information technology ethics, the paper discusses the ethical responsibilities of game developers in balancing data-driven business models with player privacy. It also proposes guidelines for designing mobile games that prioritize user consent, transparency, and data protection.</p>
  100. <p>This study explores the impact of augmented reality (AR) technology on player immersion and interaction in mobile games. The research examines how AR, which overlays digital content onto the physical environment, enhances gameplay by providing more interactive, immersive, and contextually rich experiences. Drawing on theories of presence, immersion, and user experience, the paper investigates how AR-based games like Pokémon GO and Ingress engage players in real-world exploration, socialization, and competition. The study also considers the challenges of implementing AR in mobile games, including hardware limitations, spatial awareness, and player safety, and provides recommendations for developers seeking to optimize AR experiences for mobile game audiences.</p>
  101. <p>This paper explores the use of artificial intelligence (AI) in predicting player behavior in mobile games. It focuses on how AI algorithms can analyze player data to forecast actions such as in-game purchases, playtime, and engagement. The research examines the potential of AI to enhance personalized gaming experiences, improve game design, and increase player retention rates.</p>
  102. <p>This research explores the relationship between mobile gaming habits and academic performance among students. It examines both positive aspects, such as improved cognitive skills, and negative aspects, such as decreased study time and attention.</p>
  103. <p>This paper applies semiotic analysis to the narratives and interactive elements within mobile games, focusing on how mobile games act as cultural artifacts that reflect and shape societal values, ideologies, and cultural norms. The study investigates how game developers use signs, symbols, and codes within mobile games to communicate meaning to players and how players interpret these signs in diverse cultural contexts. By analyzing various mobile games across genres, the paper explores the role of games in reinforcing or challenging cultural representations, identity politics, and the formation of global gaming cultures. The research offers a critique of the ways in which mobile games participate in the construction of collective cultural memory.</p>
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  176.                    <h2 class="heading">Related</h2>
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  193.                            <h2 class="heading"><a href="https://blog-998446334758.mit-edu.top/post/0147586932">AI-Powered Personalization in Dynamic Game Narratives</a></h2>
  194.                            <p class="info">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>
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  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-998446334758.mit-edu.top/post/0513826749">The Use of Gamification to Promote Environmental Stewardship</a></h2>
  221.                            <p class="info">Gaming has become a universal language, transcending geographical boundaries and language barriers. It allows players from all walks of life to connect, communicate, and collaborate through shared experiences, fostering friendships that span the globe. The rise of online multiplayer gaming has further strengthened these connections, enabling players to form communities, join guilds, and participate in global events, creating a sense of camaraderie and belonging in a digital world.</p>
  222.                            <a href="https://blog-998446334758.mit-edu.top/post/0513826749" class="post-author d-flex align-items-center">
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  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>James Williams</strong>
  228.                                    <span>2025-02-01 published post</span>
  229.                                </div>
  230.                            </a>
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  237.                            <a href="https://blog-998446334758.mit-edu.top/post/4502871936">
  238.                            <img src="https://x.mit-edu.top/static/images/post/11.jpg" alt="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" title="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
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  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-4502871936.mit-edu.top/post/4502871936/" target="_blank">
  244.                                <span class="date">2025-02-01</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-998446334758.mit-edu.top/post/4502871936">Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games</a></h2>
  248.                            <p class="info">This paper explores the use of mobile games as educational tools, assessing their effectiveness in teaching various subjects and skills. It discusses the advantages and limitations of game-based learning in mobile contexts.</p>
  249.                            <a href="https://blog-998446334758.mit-edu.top/post/4502871936" class="post-author d-flex align-items-center">
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  251.                                    <img src="https://x.mit-edu.top/static/images/user/12.jpg" alt="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" title="Analyzing Multi-Agent Collaboration Through Graph Neural Networks in Games" class="lazyload">
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  253.                                <div class="text">
  254.                                    <strong>Charles Taylor</strong>
  255.                                    <span>2025-02-01 published post</span>
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