Authors: David Chuan-En Lin, Hyeonsu B. Kang, Nikolas Martelaro, Aniket Kittur, Yan-Ying Chen, Matthew K. Hong
Abstract: With recent advancements in the capabilities of Text-to-Image (T2I) AI
models, product designers have begun experimenting with them in their work.
However, T2I models struggle to interpret abstract language and the current
user experience of T2I tools can induce design fixation rather than a more
iterative, exploratory process. To address these challenges, we developed
Inkspire, a sketch-driven tool that supports designers in prototyping product
design concepts with analogical inspirations and a complete
sketch-to-design-to-sketch feedback loop. To inform the design of Inkspire, we
conducted an exchange session with designers and distilled design goals for
improving T2I interactions. In a within-subjects study comparing Inkspire to
ControlNet, we found that Inkspire supported designers with more inspiration
and exploration of design ideas, and improved aspects of the co-creative
process by allowing designers to effectively grasp the current state of the AI
to guide it towards novel design intentions.
Source: http://arxiv.org/abs/2501.18588v1
