Generative AI-Driven Optimization of Event Narrative Experience Design: A VR Experimental Study Based on Dynamic and Static Narrative

Renjingyi Zhang

doi:10.54097/80tedv87

Authors

Renjingyi Zhang School of Innovation and Design, City University of Macau, Macau

DOI:

https://doi.org/10.54097/80tedv87

Keywords:

Dual narrative, Generative AI, Analytic Hierarchy Process, Personalized Experience, Emotional Resonance.

Abstract

This study investigates how generative artificial intelligence (AI) enhances interactive narrative experiences in virtual reality (VR) by comparing dynamic AI-driven storytelling with pre-scripted static narratives. A controlled experiment (N = 40) was conducted to evaluate user experience across six dimensions, including immersion, personalization, emotional resonance, and overall VR experience. Analytic hierarchy process (AHP) and one-way ANOVA were employed to assess weighted importance and group differences. Results indicate that dynamic AI-driven narratives significantly outperform static narratives in immersion, personalization, emotional resonance, and overall VR experience. Gender-based differences were also observed in affective responses. Correlation analyzes further reveal strong associations between immersion, emotional resonance, and perceived VR experience quality. These findings demonstrate that generative AI can meaningfully enhance narrative engagement and user-centered experience design in immersive environments, providing empirical support for adaptive storytelling as a design strategy in human–computer interaction.

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