Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
I-Card: A Generative AI-Supported Intelligent Design Method Card Deck
Show others and affiliations
Number of Authors: 102025 (English)In: CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery , 2025, article id 426Conference paper, Published paper (Refereed)
Abstract [en]

A design method card deck helps designers understand and provoke thinking by presenting each method in a simple format and allow designers to switch between methods seamlessly by maintaining the same simple format across the deck. However, recent observations have shown designers hesitate to use a card deck due to the lack of support, while other tools have provided identified support with generative AI. Through a formative study, we identified the specific support designers need when applying the design method cards and intentions in integrating generative AI. Accordingly, we developed the intelligent design method card deck, I-Card, which integrates generative AI to provide applicable design methods, design knowledge and data support, and interactive and dynamic support. A user study demonstrates that I-Card improved the design efficiency and applicability by offering personalized guidance, enhanced decision-making with comprehensive data generation and provided more design inspiration via interactive support.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2025. article id 426
Keywords [en]
design cards, Design method, design method cards, design support tool, generative AI
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:su:diva-244015DOI: 10.1145/3706598.3713934Scopus ID: 2-s2.0-105005762181ISBN: 9798400713941 (print)OAI: oai:DiVA.org:su-244015DiVA, id: diva2:1966592
Conference
CHI 2025: CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 26 April 2025- 1 May, 2025
Available from: 2025-06-10 Created: 2025-06-10 Last updated: 2025-06-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Hansen, Preben

Search in DiVA

By author/editor
Hansen, Preben
By organisation
Department of Computer and Systems Sciences
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 42 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf