mlsanityData to 14 Oct 2026

DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design

arXiv 2502.09867 ↗First posted 14 Feb 2025cs.HC cs.AIcited by 6

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Abstract (arXiv)

Generative AI has enabled novice designers to quickly create professional-looking visual representations for product concepts. However, novices have limited domain knowledge that could constrain their ability to write prompts that effectively explore a product design space. To understand how experts explore and communicate about design spaces, we conducted a formative study with 12 experienced product designers and found that experts -- and their less-versed clients -- often use visual references to guide co-design discussions rather than written descriptions. These insights inspired DesignWeaver, an interface that helps novices generate prompts for a text-to-image model by surfacing key product design dimensions from generated images into a palette for quick selection. In a study with 52 novices, DesignWeaver enabled participants to craft longer prompts with more domain-specific vocabularies, resulting in more diverse, innovative product designs. However, the nuanced prompts heightened participants' expectations beyond what current text-to-image models could deliver. We discuss implications for AI-based product design support tools.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 50 of its 122 references that are in the map. First posted on arXiv 14 Feb 2025.

Builds on

50 of 122 references.

References · 50

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 4.

6 papers.