Data Science Applications in Games

Current Studies in Data Science and Analytics

Editors: M. Hanefi CALP, Resul BÜTÜNER


Current Studies in Data Science and Analytics

88

Data Science Applications in Games

Chapter Authors: Murat ATASOY, Adil YILDIZ, Lokman ŞILBIR, Ekrem BAHÇEKAPILI

Pages: 57-85

This chapter examines the profound impact of data science on the digital gaming industry, showcasing its ability to drive innovation and reshape key aspects of game development, player experience, and business strategies. Data science serves as a transformative force, enabling the optimization of game mechanics, personalization of player interactions, and creation of dynamic, adaptive gaming environments. By leveraging advanced analytics, artificial intelligence, and machine learning, developers gain deep insights into player behavior, allowing for more engaging and balanced gameplay. Emerging technologies like blockchain, edge computing, and emotional design further enhance the industry, offering secure asset management, low-latency gaming experiences, and emotionally intelligent interactions. These advancements not only redefine the technical and creative possibilities of games but also pave the way for new monetization models and immersive, player-centered ecosystems. As data-driven practices become increasingly integral to gaming, ethical considerations and privacy concerns also come to the forefront, requiring transparent and responsible approaches. This chapter explores these multifaceted dimensions, illustrating how data science continues to revolutionize the gaming world.

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