I-Card: A Generative AI-Supported Intelligent Design Method Card Deck
dc.contributor.author | Chen, L | |
dc.contributor.author | Cheang, W | |
dc.contributor.author | Jiang, Z | |
dc.contributor.author | Xu, Y | |
dc.contributor.author | Cai, Z | |
dc.contributor.author | Sun, L | |
dc.contributor.author | Childs, P | |
dc.contributor.author | Han, J | |
dc.contributor.author | Hansen, P | |
dc.contributor.author | Zuo, H | |
dc.date.accessioned | 2025-05-06T08:46:28Z | |
dc.date.issued | 2025-04-25 | |
dc.date.updated | 2025-05-04T08:37:50Z | |
dc.description.abstract | 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. | en_GB |
dc.description.sponsorship | National Key R&D Program of China | en_GB |
dc.identifier.citation | CHI '25: 2025 CHI Conference on Human Factors in Computing Systems, 26 April - 1 May 2025, Yokohama, Japan. Article 426 | en_GB |
dc.identifier.doi | https://doi.org/10.1145/3706598.3713934 | |
dc.identifier.grantnumber | 2022YFB3303304 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/140915 | |
dc.language.iso | en | en_GB |
dc.publisher | Association for Computing Machinery (ACM) | en_GB |
dc.rights | © 2025 Copyright held by the owner/author(s). Open access. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. | en_GB |
dc.subject | Design method | en_GB |
dc.subject | design method cards | en_GB |
dc.subject | design cards | en_GB |
dc.subject | generative AI | en_GB |
dc.subject | design support tool | en_GB |
dc.title | I-Card: A Generative AI-Supported Intelligent Design Method Card Deck | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2025-05-06T08:46:28Z | |
dc.identifier.isbn | 979-8-4007-1394-1 | |
exeter.article-number | 426 | |
dc.description | This is the final version. Available on open access from ACM via the DOI in this record | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2025-04-25 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_GB |
refterms.dateFCD | 2025-05-06T08:43:51Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2025-05-06T08:46:38Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2025-04-25 | |
pubs.name-of-conference | CHI 2025: CHI Conference on Human Factors in Computing Systems |
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Except where otherwise noted, this item's licence is described as © 2025 Copyright held by the owner/author(s). Open access. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.