百万窗之屋：用于叙事重构的交互式小说
The House with a Million Windows: Interactive Fiction for Narrative Restorying
- The Alan Turing Institute（艾伦·图灵研究所）
- University of Edinburgh（爱丁堡大学）
- University of Chicago（芝加哥大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
针对AI写作导致叙事同质化的问题，本文提出基于大语言模型的交互式小说系统HWAMW，通过重构干预帮助用户探索故事多重意义，实证表明其增强叙事认同感，为AI辅助写作提供新范式。
AI中文摘要：
AI辅助写作可能使人类叙事的意义扁平化，导致产生同质化输出，而缺乏写作所需的刻意努力和意义建构。为应对这一挑战，我们提出了“百万窗之屋”（HWAMW），一个基于大语言模型的交互式小说系统，旨在帮助用户探索其个人故事中潜在意义的广度与深度——该系统借鉴了一种名为“重构干预”的心理学范式。在HWAMW中，用户通过一个基于文本的叙事进行游戏，在讲述一个故事后，会遇到一组由LLM生成的“窗口”，这些窗口根据不同的文学风格对故事进行重新框定。实证证据表明，HWAMW增强了用户的叙事认同感，而专家评审则探讨了这一效果是如何实现的。我们的研究结果表明，HWAMW促进了叙事重构，并为AI辅助写作提供了一种有价值的范式，即大语言模型并非替我们讲述故事，而是帮助我们看见自己所讲故事中的更大潜力。
英文摘要：
AI-assisted writing can flatten meaning in human storytelling, enabling the production of homogeneous outputs without the intentional effort and sense-making writing entails. To address this challenge, we present The House with a Million Windows (HWAMW), an LLM-based interactive fiction system designed to help users explore both the breadth and depth of potential meanings within their personal stories -- drawing on a psychological paradigm called the restorying intervention. In HWAMW, users play through a text-based narrative in which they tell a story, then encounter a set of LLM-generated "windows" reframing it according to different literary styles. Empirical evidence shows that HWAMW increases users' sense of narrative identity, while an expert review explores how this effect is achieved. Our findings suggest that HWAMW facilitates restorying and offers a valuable paradigm for AI-assisted writing, wherein LLMs do not tell our stories but rather help us see greater potential in the stories we tell.
