From Overload to Insight: Scaffolding Creative Ideation through Structuring Inspiration
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arXiv
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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866912340470923264 |
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| author | Yang, Yaqing Mohanty, Vikram Martelaro, Nikolas Kittur, Aniket Chen, Yan-Ying Hong, Matthew K. |
| author_facet | Yang, Yaqing Mohanty, Vikram Martelaro, Nikolas Kittur, Aniket Chen, Yan-Ying Hong, Matthew K. |
| contents | Creative ideation relies on exploring diverse stimuli, but the overwhelming abundance of information often makes it difficult to identify valuable insights or reach the `aha' moment. Traditional methods for accessing design stimuli lack organization and fail to support users in discovering promising opportunities within large idea spaces. In this position paper, we explore how AI can be leveraged to structure, organize, and surface relevant stimuli, guiding users in both exploring idea spaces and mapping insights back to their design challenges. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_15482 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Overload to Insight: Scaffolding Creative Ideation through Structuring Inspiration Yang, Yaqing Mohanty, Vikram Martelaro, Nikolas Kittur, Aniket Chen, Yan-Ying Hong, Matthew K. Human-Computer Interaction Creative ideation relies on exploring diverse stimuli, but the overwhelming abundance of information often makes it difficult to identify valuable insights or reach the `aha' moment. Traditional methods for accessing design stimuli lack organization and fail to support users in discovering promising opportunities within large idea spaces. In this position paper, we explore how AI can be leveraged to structure, organize, and surface relevant stimuli, guiding users in both exploring idea spaces and mapping insights back to their design challenges. |
| title | From Overload to Insight: Scaffolding Creative Ideation through Structuring Inspiration |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2504.15482 |