NarrativePlay: Interactive Narrative Understanding
Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu and, Yanran Li, Yulan He, Lin Gui

TL;DR
NarrativePlay is an interactive system that uses large language models to enable immersive role-playing within narratives, incorporating visual elements and character-driven story exploration.
Contribution
It introduces a novel LLM-based interactive narrative platform with auto-generated visuals and character-specific storylines, enhancing user engagement and immersion.
Findings
Effective in detective and adventure stories
Users can explore worlds or improve character relationships
System enhances narrative engagement
Abstract
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.
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Taxonomy
TopicsArtificial Intelligence in Games · Digital Games and Media · Multimodal Machine Learning Applications
