NarrativePlay: Interactive Narrative Understanding
This addresses immersive storytelling for users interested in interactive fiction, but it appears incremental as it builds on existing LLM and narrative extraction techniques.
The paper tackles interactive narrative understanding by introducing NarrativePlay, a system that enables users to role-play characters in narratives like novels, using LLMs for response generation and auto-generated visuals, and it was evaluated on detective and adventure stories.
In this paper, we introduce NarrativePlay, a novel system that allows users to role-play a fictional character and interact with other characters in narratives such as novels in an immersive environment. We leverage Large Language Models (LLMs) to generate human-like responses, guided by personality traits extracted from narratives. The system incorporates auto-generated visual display of narrative settings, character portraits, and character speech, greatly enhancing user experience. Our approach eschews predefined sandboxes, focusing instead on main storyline events extracted from narratives from the perspective of a user-selected character. NarrativePlay has been evaluated on two types of narratives, detective and adventure stories, where users can either explore the world or improve their favorability with the narrative characters through conversations.