English

A Text-Native Interface for Generative Video Authoring

Human-Computer Interaction 2026-03-11 v1 Artificial Intelligence

Abstract

Everyone can write their stories in freeform text format -- it's something we all learn in school. Yet storytelling via video requires one to learn specialized and complicated tools. In this paper, we introduce Doki, a text-native interface for generative video authoring, aligning video creation with the natural process of text writing. In Doki, writing text is the primary interaction: within a single document, users define assets, structure scenes, create shots, refine edits, and add audio. We articulate the design principles of this text-first approach and demonstrate Doki's capabilities through a series of examples. To evaluate its real-world use, we conducted a week-long deployment study with participants of varying expertise in video authoring. This work contributes a fundamental shift in generative video interfaces, demonstrating a powerful and accessible new way to craft visual stories.

Keywords

Cite

@article{arxiv.2603.09072,
  title  = {A Text-Native Interface for Generative Video Authoring},
  author = {Xingyu Bruce Liu and Mira Dontcheva and Dingzeyu Li},
  journal= {arXiv preprint arXiv:2603.09072},
  year   = {2026}
}
R2 v1 2026-07-01T11:11:29.327Z