Scaffolding Recursive Divergence and Convergence in Story Ideation
July 04, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Taewook Kim, Matthew Kay, Yuqian Sun, Melissa Roemmele, Max Kreminski, John Joon Young Chung
arXiv ID
2507.03307
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Human creative ideation involves both exploration of diverse ideas (divergence) and selective synthesis of explored ideas into coherent combinations (convergence). While processes of divergence and convergence are often interleaved and nested, existing AI-powered creativity support tools (CSTs) lack support for sophisticated orchestration of divergence and convergence. We present Reverger, an AI-powered CST that helps users ideate variations of conceptual directions for modifying a story by scaffolding flexible iteration between divergence and convergence. For divergence, our tool enables recursive exploration of alternative high-level directions for modifying a specific part of the original story. For convergence, it allows users to collect explored high-level directions and synthesize them into concrete variations. Users can then iterate between divergence and convergence until they find a satisfactory outcome. A within-subject study revealed that Reverger permitted participants to explore more unexpected and diverse high-level directions than a comparable baseline. Reverger users also felt that they had more fine-grained control and discovered more effort-worthy outcomes.
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