AI-driven adaptive narratives: Transforming dynamic storytelling in immersive virtual worlds

Aliyev, Etibar and Adedokun, Oluyinka J. and Fabusoro, Adetutu Temitope and Komolafe, Victor O. (2025) AI-driven adaptive narratives: Transforming dynamic storytelling in immersive virtual worlds. International Journal of Science and Research Archive, 15 (1). pp. 417-426. ISSN 2582-8185

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Abstract

This paper explores the role of AI-driven adaptive narratives in transforming dynamic storytelling in immersive virtual worlds. It focuses on the intrinsic ability of artificial intelligence to foster profound emotional connections and immersions, redefining the audience's role as active participants in storytelling. Also, it highlights the significance of adaptive narratives, which transcend entertainment, with applications in areas like mental health, education, and marketing. Meanwhile, despite these thrilling benefits derivable from using AI-powered adaptive narratives technology, the rise of AI-driven storytelling is not exempt from its challenges and controversies like concerns regarding data privacy, ethical implications of using AI, and algorithmic bias. These challenges raise important questions about fairness and inclusivity. The substantial costs involved with the development and the risk of over-reliance on the technology are other hurdles for educators and creators alike. Therefore, addressing these challenges is essential for sustainable and long-term application and access to AI-driven narratives as the field evolves. Advancements in AI will continue to revolutionize the creation and experience of these narratives through enhanced interactivity and augmented reality integration while shaping the future of storytelling.

Item Type: Article
Official URL: https://doi.org/10.30574/ijsra.2025.15.1.0959
Uncontrolled Keywords: Artificial Intelligence; Adaptive Narratives; Dynamic Storytelling; Immersive Virtual Worlds
Depositing User: Editor IJSRA
Date Deposited: 22 Jul 2025 15:26
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/1408