From Paper to Card: Transforming Design Implications with Generative AI Article Swipe
Dong-Hoon Shin
,
Lucy Lu Wang
,
Gary Hsieh
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3613904.3642266
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3613904.3642266
Communicating design implications is common within the HCI community when publishing academic papers, yet these papers are rarely read and used by designers. One solution is to use design cards as a form of translational resource that communicates valuable insights from papers in a more digestible and accessible format to assist in design processes. However, creating design cards can be time-consuming, and authors may lack the resources/know-how to produce cards. Through an iterative design process, we built a system that helps create design cards from academic papers using an LLM and text-to-image model. Our evaluation with designers (N=21) and authors of selected papers (N=12) revealed that designers perceived the design implications from our design cards as more inspiring and generative, compared to reading original paper texts, and the authors viewed our system as an effective way of communicating their design implications. We also propose future enhancements for AI-generated design cards.
Related Topics
Concepts
Computer science
Generative Design
Generative grammar
Process (computing)
Engineering design process
Iterative design
Resource (disambiguation)
Reading (process)
Design process
Human–computer interaction
Environmental graphic design
Software engineering
Design elements and principles
World Wide Web
Design education
Multimedia
Artificial intelligence
Programming language
Engineering
Work in process
Linguistics
Mechanical engineering
Chemical engineering
Computer network
Art
Operations management
Metric (unit)
Compatibility (geochemistry)
Visual arts
Philosophy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1145/3613904.3642266
- https://dl.acm.org/doi/pdf/10.1145/3613904.3642266
- OA Status
- gold
- Cited By
- 19
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392822385
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392822385Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3613904.3642266Digital Object Identifier
- Title
-
From Paper to Card: Transforming Design Implications with Generative AIWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-11Full publication date if available
- Authors
-
Dong-Hoon Shin, Lucy Lu Wang, Gary HsiehList of authors in order
- Landing page
-
https://doi.org/10.1145/3613904.3642266Publisher landing page
- PDF URL
-
https://dl.acm.org/doi/pdf/10.1145/3613904.3642266Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://dl.acm.org/doi/pdf/10.1145/3613904.3642266Direct OA link when available
- Concepts
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Computer science, Generative Design, Generative grammar, Process (computing), Engineering design process, Iterative design, Resource (disambiguation), Reading (process), Design process, Human–computer interaction, Environmental graphic design, Software engineering, Design elements and principles, World Wide Web, Design education, Multimedia, Artificial intelligence, Programming language, Engineering, Work in process, Linguistics, Mechanical engineering, Chemical engineering, Computer network, Art, Operations management, Metric (unit), Compatibility (geochemistry), Visual arts, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
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2025: 17, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
57Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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