Document Type
Article
Publication Title
ISRG Journal of Arts, Humanities and Social Sciences
Abstract
Generative AI is revolutionizing the field of game design, introducing unprecedented adaptability and personalization in gameplay. The latest advancements in AI-driven engines enable real-time content creation, offering dynamic, player-driven experiences that diverge from traditional pre-programmed narratives. This shift marks a transition toward "choose your own adventure" formats, with an unlimited number of variations in levels, enemies, collectibles, and weaponry, tailored to each player's decisions. Google's GameNGen, for example, showcases AI's capacity to recreate classic games like DOOM, learning and generating gameplay in real time. These innovations are not restricted to gaming alone; they extend to edutainment, television, and film, where AI tools such as Cybever allow creators to generate 3D worlds from simple inputs like sketches. Such developments underscore a broader trend in AI’s role in shaping interactive media, providing new opportunities for personalized learning and entertainment experiences. The advent of tools like Notebook LM also blurs the lines between gaming and other media, enabling the creation of AI-written scripts and avatars, enhancing storytelling across platforms. This article explores the transformative potential of generative AI, emphasizing the implications for the future of edutainment, gaming, and beyond.
Publication Date
9-6-2024
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Ratican, Jay and Hutson, James, "Adaptive Worlds: Generative AI in Game Design and Future of Gaming, and Interactive Media" (2024). Faculty Scholarship. 686.
https://digitalcommons.lindenwood.edu/faculty-research-papers/686