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.
@article{arxiv.2504.15482,
title = {From Overload to Insight: Scaffolding Creative Ideation through Structuring Inspiration},
author = {Yaqing Yang and Vikram Mohanty and Nikolas Martelaro and Aniket Kittur and Yan-Ying Chen and Matthew K. Hong},
journal= {arXiv preprint arXiv:2504.15482},
year = {2025}
}