I-Card: A Generative AI-Supported Intelligent Design Method Card Deck

要旨

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.

受賞
Honorable Mention
著者
Liuqing Chen
Zhejiang University, Hangzhou, China
Wengteng Cheang
College of Computer Science and Technology, Hangzhou, China
Zhaojun Jiang
Zhejiang University, Hangzhou, Zhejiang, China
Yuan Xu
Central South University, Chngsha, Hunan, China
Zebin Cai
Zhejiang University, Hangzhou, Zhejiang, China
Lingyun Sun
Zhejiang University, Hangzhou, China
Peter Childs
Imperial College London, London, United Kingdom
Ji Han
University of Exeter , Exeter , United Kingdom
Preben Hansen
Stockholm University, Kista, Sweden
Haoyu Zuo
Imperial College London, London, United Kingdom
DOI

10.1145/3706598.3713934

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713934

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Exploring Physical and Digital Product Design

G418+G419
7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
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