用剧本引导和剧情反思提升大模型互动戏剧的沉浸感与玩家影响力。
Towards Enhanced Immersion and Agency for LLM-based Interactive Drama
- 用剧本指导生成，让大模型创作结构更优的故事
- 通过剧情反思机制使角色反应更贴合玩家意图
- 适合对交互叙事、角色扮演游戏感兴趣的开发者
基于大语言模型的互动戏剧是一种新型AI对话场景，用户作为角色与由大模型扮演的角色对话，并体验动态展开的故事情节。本文从沉浸感（玩家在故事中的存在感）和自主性（玩家影响故事世界的能力）两个维度出发，探讨如何提升互动体验。此前研究对这两个方面关注不足。为此，我们提出剧本引导生成方法，显著提升大模型创作故事的结构与叙事质量；同时引入基于剧情的反思机制，使大模型代理能更好地调整回应以匹配玩家意图。评估采用人工判断，验证了所提方法在增强沉浸感与自主性方面的有效性。
原文摘要 · Abstract (English)
LLM-based Interactive Drama is a novel AI-based dialogue scenario, where the user (i.e. the player) plays the role of a character in the story, has conversations with characters played by LLM agents, and experiences an unfolding story. This paper begins with understanding interactive drama from two aspects: Immersion, the player's feeling of being present in the story, and Agency, the player's ability to influence the story world. Both are crucial to creating an enjoyable interactive experience, while they have been underexplored in previous work. To enhance these two aspects, we first propose Playwriting-guided Generation, a novel method that helps LLMs craft dramatic stories with substantially improved structures and narrative quality. Additionally, we introduce Plot-based Reflection for LLM agents to refine their reactions to align with the player's intentions. Our evaluation relies on human judgment to assess the gains of our methods in terms of immersion and agency.
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