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Source: https://blog-aff5ihibg.mit-edu.top/post/5792601348

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  32.                "name": "Dr. Emma Price",
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  52.            "abstract": "Leveraging Generative Pretrained Transformers for Real-Time NPC Dialogue Generation #913315871139 (2025-02-09)",
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  93.                    <span class="d-block text-center">Emma Price</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-09</span>
  95.                    <h2 class="heading text-center">Leveraging Generative Pretrained Transformers for Real-Time NPC Dialogue Generation</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Emma Price for contributing the article "Leveraging Generative Pretrained Transformers for Real-Time NPC Dialogue Generation".
  97.                    </p>
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  215.                            <div class="post-meta mb-3">
  216.                                <a href="https://blog-6217538409.mit-edu.top/post/6217538409/" target="_blank">
  217.                                <span class="date">2025-02-09</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-aff5ihibg.mit-edu.top/post/6217538409">Predicting Player Lifetime Value Using Early Engagement Signals</a></h2>
  221.                            <p class="info">This research investigates the ethical, psychological, and economic impacts of virtual item purchases in free-to-play mobile games. The study explores how microtransactions and virtual goods, such as skins, power-ups, and loot boxes, influence player behavior, spending habits, and overall satisfaction. Drawing on consumer behavior theory, economic models, and psychological studies of behavior change, the paper examines the role of virtual goods in creating addictive spending patterns, particularly among vulnerable populations such as minors or players with compulsive tendencies. The research also discusses the ethical implications of monetizing gameplay through virtual goods and provides recommendations for developers to create fairer and more transparent in-game purchase systems.</p>
  222.                            <a href="https://blog-aff5ihibg.mit-edu.top/post/6217538409" class="post-author d-flex align-items-center">
  223.                                <div class="author-pic">
  224.                                    <img src="https://x.mit-edu.top/static/images/user/18.jpg" alt="Predicting Player Lifetime Value Using Early Engagement Signals" title="Predicting Player Lifetime Value Using Early Engagement Signals" class="lazyload">
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  226.                                <div class="text">
  227.                                    <strong>Dennis Torres</strong>
  228.                                    <span>2025-02-09 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
  232.                    </div>
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  237.                            <a href="https://blog-aff5ihibg.mit-edu.top/post/5621849370">
  238.                            <img src="https://x.mit-edu.top/static/images/post/4.jpg" alt="Federated Learning Models for Collaborative AI Training in Multiplayer Games" title="Federated Learning Models for Collaborative AI Training in Multiplayer Games" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
  241.                        <div class="content">
  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-5621849370.mit-edu.top/post/5621849370/" target="_blank">
  244.                                <span class="date">2025-02-09</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-aff5ihibg.mit-edu.top/post/5621849370">Federated Learning Models for Collaborative AI Training in Multiplayer Games</a></h2>
  248.                            <p class="info">This paper explores the role of artificial intelligence (AI) in personalizing in-game experiences in mobile games, particularly through adaptive gameplay systems that adjust to player preferences, skill levels, and behaviors. The research investigates how AI-driven systems can monitor player actions in real-time, analyze patterns, and dynamically modify game elements, such as difficulty, story progression, and rewards, to maintain player engagement. Drawing on concepts from machine learning, reinforcement learning, and user experience design, the study evaluates the effectiveness of AI in creating personalized gameplay that enhances user satisfaction, retention, and long-term commitment to games. The paper also addresses the challenges of ensuring fairness and avoiding algorithmic bias in AI-based game design.</p>
  249.                            <a href="https://blog-aff5ihibg.mit-edu.top/post/5621849370" class="post-author d-flex align-items-center">
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  251.                                    <img src="https://x.mit-edu.top/static/images/user/10.jpg" alt="Federated Learning Models for Collaborative AI Training in Multiplayer Games" title="Federated Learning Models for Collaborative AI Training in Multiplayer Games" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Susan Thomas</strong>
  255.                                    <span>2025-02-09 published post</span>
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