Scaffolding Flexible Ideation Workflows with AI in Creative Problem-Solving Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2509.12408
Divergent thinking in the ideation stage of creative problem-solving demands that individuals explore a broad design space. Yet this exploration rarely follows a neat, linear sequence; problem-solvers constantly shift among searching, creating, and evaluating ideas. Existing interfaces either impose rigid, step-by-step workflows or permit unguided free-form exploration. To strike a balance between flexibility and guidance for augmenting people's efficiency and creativity, we introduce a human-AI collaborative workflow that supports a fluid ideation process. The system surfaces three opt-in aids: (1) high-level schemas to uncover alternative ideas, (2) risk analysis with mitigation suggestions, and (3) steering system-generated suggestions. Users can invoke these supports at any moment, allowing seamless back-and-forth movement among design actions to maintain creative momentum.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2509.12408
- https://arxiv.org/pdf/2509.12408
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4414787205
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4414787205Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2509.12408Digital Object Identifier
- Title
-
Scaffolding Flexible Ideation Workflows with AI in Creative Problem-SolvingWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-09-15Full publication date if available
- Authors
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Yong Yang, Vikram Mohanty, Nikolas Martelaro, Aniket Kittur, Yan-Ying Chen, Matthew K. HongList of authors in order
- Landing page
-
https://arxiv.org/abs/2509.12408Publisher landing page
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https://arxiv.org/pdf/2509.12408Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2509.12408Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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