Computer Science
Document Type
Conference Paper
Abstract
GenAI's ability to produce text and images is increasingly incorporated into human-AI co-creation tasks such as storytelling and video editing. However, integrating GenAI into these tasks requires enabling users to retain control over editing individual story elements while ensuring that generated visuals remain coherent with the storyline and consistent across multiple AI-generated outputs. This work examines a paradigm of creative decomposition and linking, which allows creators to clearly communicate creative intent by prompting GenAI to tailor specific story elements, such as storylines, personas, locations, and scenes, while maintaining coherence among them. We implement and evaluate StoryComposerAI, a system that exemplifies this paradigm for enhancing users' sense of control and content consistency in human-AI co-creation of digital stories. © 2026 Copyright held by the owner/author(s).
Publication Title
Conference on Human Factors in Computing Systems - Proceedings
Publication Date
4-2026
ISBN
9798400722813
DOI
10.1145/3772363.3798629
Keywords
Generative AI, human-AI co-creation, LLM, storytelling
Repository Citation
Niu, Shuo; Clements, Dylan; Nemanov, Marina Margalit; and Kim, Hyungsin, "StoryComposerAI: Supporting Human-AI Story Co-Creation Through Decomposition and Linking" (2026). Computer Science. 244.
https://commons.clarku.edu/faculty_computer_sciences/244
APA Citation
Niu, S., Clements, D., Nemanov, M. M., & Kim, H. (2026, April). StoryComposerAI: Supporting Human-AI Story Co-Creation Through Decomposition and Linking. In Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (pp. 1-7).
Cross Post Location
Student Publications
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
