DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design
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arXiv:2502.09867v2 Announce Type: cross Abstract: 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
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✦ AI Summary· Claude Sonnet
Computer Science > Human-Computer Interaction
[Submitted on 14 Feb 2025 (v1), last revised 20 Feb 2025 (this version, v2)]
DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design
Sirui Tao, Ivan Liang, Cindy Peng, Zhiqing Wang, Srishti Palani, Steven P. Dow
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.
Comments: 26 pages, 22 figures, CHI 2025
Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)
ACM classes: H.5.2
Cite as: arXiv:2502.09867 [cs.HC]
(or arXiv:2502.09867v2 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2502.09867
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Related DOI:
https://doi.org/10.1145/3706598.3714211
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Submission history
From: Sirui Tao [view email]
[v1] Fri, 14 Feb 2025 02:33:41 UTC (95,659 KB)
[v2] Thu, 20 Feb 2025 01:56:16 UTC (95,660 KB)
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