[1T3-OS-32a] OS-32

[1T3-OS-32a-05] Interactive Story Generation System: Enhancing Creative Writing with a LLM Informed by Narrative Structure Analysis

〇Kengo Watanabe¹, Takashi Kawamura¹, Reo Kobayashi¹, Kzuma Ari¹, Akifumi Ito¹, Satoshi Kurihara¹ (1. Keio University)

Keywords:LLM, Creativity Support, Story Generation

In recent years, the fluidity of media contents has rapidly expanded, and with it, the burden on story creation has increased. AI technology, especially large language models (LLMs), has shown remarkable development, and there are high expectations for its utilization, though methods for its use have not yet been established. There is a demand for systems that provide beneficial support to story creators unfamiliar with AI. Therefore, we have developed an interactive story generation system as a web application that realizes the use of LLMs based on narrative structure analysis through intuitive operations. This system functions as a go-between for story creators and LLMs, supporting story creation. When used by several groups of professional story creators, the system received high satisfaction for its ease of use and the production flow that entails repeatedly applying LLMs to refine the narrative. Through this research, the usefulness of our system in the methodology of utilizing LLMs in story creation was suggested.