Narrix: Remixing Narrative Strategies from Examples for Story Writing

要旨

Experienced storytellers decompose stories into local narrative strategies and how these strategies shape higher-level arcs. This decomposition helps writers recognize patterns in others' work and adapt those patterns to tell new stories. Novices, however, struggle to identify these strategies or to reuse them effectively. We present Narrix, a novel writing tool that helps novice writers recognize narrative strategies in example stories and repurpose these strategies in their own writing. Narrix analyzes strategies in example stories, highlights them with color-coded lexical cues and explanations, and situates them on an interactive story arc for exploration by emotional shifts and turning points. Writers then drag strategies onto multi-dimensional tracks and apply block-scoped edits to revise or continue their drafts through controlled generation steered by specified strategies. Through a within-subjects study (N=12), Narrix showed improved participants' retention, confidence, and creative adaptation of narrative strategies compared to a baseline chat-based writing interface.

著者
Chao Zhang
Cornell University, Ithaca, New York, United States
Shunan Guo
Adobe Research, San Jose, California, United States
Abe Davis
Cornell University, New York, New York, United States
Eunyee Koh
Adobe Research, San Jose, California, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: LLM-Assisted Writing and Authoring

P1 - Room 127
7 件の発表
2026-04-16 18:00:00
2026-04-16 19:30:00