In this section
@inproceedings{Yin:2026:10.1017/pds.2026.10475,
author = {Yin, Y and Zuo, H and Chen, L and Wang, P and Childs, P},
doi = {10.1017/pds.2026.10475},
pages = {1171--1180},
publisher = {Cambridge University Press},
title = {Motivation and post-design evaluations of AI usage behind AI-assisted design},
url = {http://dx.doi.org/10.1017/pds.2026.10475},
year = {2026}
}
TY - CPAPER
AB - 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.
AU - Yin,Y
AU - Zuo,H
AU - Chen,L
AU - Wang,P
AU - Childs,P
DO - 10.1017/pds.2026.10475
EP - 1180
PB - Cambridge University Press
PY - 2026///
SN - 2732-527X
SP - 1171
TI - Motivation and post-design evaluations of AI usage behind AI-assisted design
UR - http://dx.doi.org/10.1017/pds.2026.10475
ER -