Motivation and post-design evaluations of AI usage behind AI-assisted design
File(s)
Author(s)
Yin, Yuan
Zuo, Haoyu
Chen, Liuqing
Wang, Pan
Childs, Peter
Type
Conference Paper
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.
Date Issued
2026-08-01
Date Acceptance
2026-02-02
Citation
Proceedings of the Design Society, 2026, 6, pp.1171-1180
ISSN
2732-527X
Publisher
Cambridge University Press
Start Page
1171
End Page
1180
Journal / Book Title
Proceedings of the Design Society
Volume
6
Copyright Statement
The Author(s), 2026. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Source
Design 2026
Publication Status
Published
Start Date
2026-05-18
Finish Date
2026-05-21
Coverage Spatial
Dubrovnik, Croatia