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Artificial intelligence augmented design iteration support

Authors :
Jinlei Shi
Jing Liao
Zitong Chen
Chunlei Chai
Chuyi Zhou
Source :
ISCID
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Design is an iterative process that aims at problem-solving. While the importance of mental iteration has been identified, there are little research on how to improve mental iteration in design process. In this paper, we propose a method to augment design by AI. An experiment was conducted to study the effect of AI augment on design iteration. The results indicate AI augment could improve the designers’ performance in fluency and stylization.

Details

Database :
OpenAIRE
Journal :
2020 13th International Symposium on Computational Intelligence and Design (ISCID)
Accession number :
edsair.doi...........815eb505398bcd5c0e5a0a0d6dd1318b
Full Text :
https://doi.org/10.1109/iscid51228.2020.00086