NarrativePlay: Interactive Narrative Understanding

• URL: http://arxiv.org/abs/2310.01459v1
• Date: Mon, 2 Oct 2023 13:24:00 GMT
• Title: NarrativePlay: Interactive Narrative Understanding
• Authors: Runcong Zhao and Wenjia Zhang and Jiazheng Li and Lixing Zhu and Yanran Li and Yulan He and Lin Gui
• Abstract summary: We introduce NarrativePlay, a novel system that allows users to role-play a fictional character and interact with other characters in narratives in an immersive environment. We leverage Large Language Models (LLMs) to generate human-like responses, guided by personality traits extracted from narratives. 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.
• Score: 27.440721435864194
• License: http://creativecommons.org/licenses/by/4.0/
• 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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