NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing

Authors

  • Runcong ZhaoKing's College London
  • Wenjia ZhangKing's College LondonUniversity of Warwick
  • Jiazheng LiKing's College London
  • Lixing ZhuKing's College London
  • Yanran LiIndependent Researcher
  • Yulan HeKing's College LondonUniversity of WarwickThe Alan Turing Institute
  • Lin GuiKing's College London

DOI:

https://doi.org/10.1609/aaai.v38i21.30589

Keywords:

Artificial Intelligence, AI for games, Human-AI interaction (including Human-robot interaction), Educational software and hardware tools for AI

Abstract

In this demo, we present NarrativePlay -- an innovative system enabling users to role-play a fictional character and interact with dynamically generated narrative environments. Unlike existing predefined sandbox approaches, NarrativePlay centres around the main storyline events extracted from the narrative, allowing users to experience the story from the perspective of a character they chose. To design versatile AI agents for diverse scenarios, we employ a framework built on a Large Language Models (LLMs) to extract detailed character traits from text. We also incorporate automatically generated visual displays of narrative settings, character portraits, and character speech, greatly enhancing the overall user experience.
AAAI-24 / IAAI-24 / EAAI-24 Proceedings Cover

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Published

2024-03-24

How to Cite

Zhao, R., Zhang, W., Li, J., Zhu, L., Li, Y., He, Y., & Gui, L. (2024). NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing.Proceedings of the AAAI Conference on Artificial Intelligence,38(21), 23859-23861. https://doi.org/10.1609/aaai.v38i21.30589