用类比草图激发创意，让AI辅助设计更自由探索。
Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching
- 通过草图输入引导AI生成设计灵感，形成闭环反馈。
- 实验显示用户在使用中产生更多创意，且更易掌控AI方向。
- 适合需要快速原型和创意发散的产品设计师。
随着文本到图像（T2I）AI模型能力的提升，产品设计师开始尝试将其融入工作流程。然而，现有T2I模型难以理解抽象语言，当前工具的交互方式反而容易导致设计固化，不利于迭代探索。为此，我们开发了Inkspire——一款以草图为驱动、支持类比启发的设计探索工具，实现从草图到设计再到草图的完整反馈循环。为指导设计，我们与设计师开展交流，提炼出改进T2I交互的关键目标。在一项被试内对比研究中，Inkspire相较于ControlNet，显著提升了设计师的灵感获取与设计探索程度，并通过帮助用户更好地理解AI状态，有效引导其向新颖设计意图演进。
原文摘要 · Abstract (English)
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.
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