Generative AI significantly enhances player agency in interactive narratives (IN) by enabling just-in-time content generation that adapts to player actions. While delegating generation to AI makes IN more interactive, it becomes challenging for authors to control the space of possible narratives - within which the final story experienced by the player emerges from their interaction with AI. In this paper, we present WhatELSE, an AI-bridged IN authoring system that creates narrative possibility spaces from example stories. WhatELSE provides three views (narrative pivot, outline, and variants) to help authors understand the narrative space and corresponding tools leveraging linguistic abstraction to control the boundaries of the narrative space. Taking innovative LLM-based narrative planning approaches, WhatELSE further unfolds the narrative space into executable game events. Through a user study (N=12) and technical evaluations, we found that WhatELSE enables authors to perceive and edit the narrative space and generates engaging interactive narratives at play-time.

Processing the language of a narrative text, be it a novel, a extended flashbacks). These subsequent levels of blending film, or a play, is a crucial component of narrative of narrative spaces eventually yield the emergent space, comprehension. The research reported here shows how traditionally described as'the story'. The final product of processes driven by general linguistic and conceptual narrative comprehension is thus a mental construct, a patterns of meaning construction prompt the reader's or mega-blend, which emerges through multiple levels of viewer's response to the narrative artifact.