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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Motivation and post-design evaluations of AI usage behind AI-assisted design

Yin, Yuan (1); Zuo, Haoyu (1); Chen, Liuqing (2); Wang, Pan (3); Childs, Peter (1)

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Yin, Yuan (1); Zuo, Haoyu (1); Chen, Liuqing (2); Wang, Pan (3); Childs, Peter (1)
Series:
DESIGN
Institution:
1: Imperial College London, United Kingdom; 2: College of Computer Science and Technology, Zhejiang University, China; 3: Faculty of Industrial Design Engineering, Delft University of Technology, The Netherlands
Page(s):
1171-1180
DOI number:
10.1017/pds.2026.10475
ISSN:
2732-527X (Online)
Abstract:
This study aimed to detect designers’ motivations (Personal Identity, Conformity, Life Efficiency, and Information) in using Generative AI in AI-assisted design and how these motivations related to post-design evaluations of AI (Attitudes, Satisfaction, and Continuance Intention). The results showed that personal identity, conformity, and efficiency motives can predict attitudes and satisfaction for the use of Generative AI in AI-assisted design. No motivation indicated in the study can predict continuance intention, which suggests that long-term AI usage depends on factors beyond motivation.
Keywords:
artificial intelligence (AI), co-design, motivation, post-design evaluation, human-AI co-design
DESIGN2026 - The 19th International Design Conference
Conferences

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