EmoNest: Crafting Emotionally-Adaptive Experiences with Generative AI

Yue Huang, Siyuan Wu

Track: Paper

Keywords: Generative AI, large language model, storytelling, generative model

Abstract: We present EmoNest, a generative AI framework for creating interactive, emotionally adaptive storytelling experiences. By integrating advanced language and vision models with user profiling and real-time narrative adaptation, EmoNest generates personalized stories that reflect each user’s emotional state and personal background. Our approach empowers users to co-create immersive narratives that promote engagement and emotional resonance. We demonstrate EmoNest’s potential for delivering personalized artistic experiences and discuss its implications for the development of emotionally intelligent AI.

Submission Number: 22