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.

利用大型语言模型生成人类般的回复，通过提取故事中的人物特点，引入 NarrativePlay 系统，允许用户在沉浸式环境中扮演虚构角色并与其他角色互动，自动生成故事情境、角色形象和对话，大大提升用户体验。该系统关注用户所选角色视角下从故事中提取的主要情节事件，并在两种类型的故事中进行评估：侦探故事和冒险故事，用户可以通过对话探索世界或改善与故事角色的关系。