aiqbench analysis
This research introduces HWAMW, an LLM-driven interactive fiction system that leverages the "restorying" paradigm to help users explore diverse narrative perspectives on their personal experiences. By generating multiple reframings of a single story rather than dictating outcomes, the system demonstrates how large language models can enhance human sense-making and strengthen narrative identity without flattening meaning. The study provides empirical evidence that this approach offers a constructive model for AI-assisted writing where technology serves as a lens for depth rather than a generator of homogeneous content.
The House with a Million Windows: Interactive Fiction for Narrative Restorying
arXiv:2609.12537v1 Announce Type: new Abstract: 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.
Abstract: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.
Computation and Language (cs.CL); Human-Computer Interaction (cs.HC)
arXiv:2609.12537 [cs.CL]
(or arXiv:2609.12537v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2609.12537 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 248 words
