Paper
StoryComposerAI: Supporting Human-AI Story Co-Creation Through Decomposition and Linking
Authors
Shuo Niu, Dylan Clements, Marina Margalit Nemanov, Hyungsin Kim
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.
Metadata
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Raw Data (Debug)
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