Back to Research papers
Research paper index

Narrative Keyframing for Generative Creative Writing

Chao Zhang, Abe Davis

arXiv:2608.10337Published August 11, 20260 citations
  • cs.HC
  • cs.AI
  • cs.CL
  • action

Abstract

We introduce narrative keyframing, an interaction technique for AI-assisted creative writing that lets writers specify different types of narrative constraints at selected moments in a story, then use AI to generate intervening prose. Inspired by the use of keyframing in animation, narrative keyframing offers a flexible way to connect story planning with adaptive control over generated text. We explore three types of keyframes: plot keyframes define significant events in a story, character keyframes represent how individual characters change over the narrative, and perspective keyframes capture how individual characters experience different events through first-person narratives. Plot and character keyframes offer a flexible way to adapt the type of high-level conditioning explored in previous AI writing tools to more customizable, iterative, and fine-scale control, while perspective keyframes add a new way to control characterization and focalization by using first-person narratives as an intermediary. Through a user study, we show that narrative keyframing supports a more controllable, transparent, and engaging way to use generative AI in creative writing.

Read the original paper

This page indexes public paper metadata. The manuscript remains with its original publisher and authors.