| Title | Comparing Performance and Efficiency of Designers and Design Intelligence |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Song, Zhenlin, Sun, Linyun |
| Conference Name | 2021 14th International Symposium on Computational Intelligence and Design (ISCID) |
| Keywords | artificial intelligence, composability, compositionality, Computational Intelligence, Design, generative adversarial networks, Image color analysis, Layout, Painting, pubcrawl, Task Analysis |
| Abstract | Intelligent design has been an emerging important area in the design. Existing works related to intelligent design use objective indicators to measure the quality of AI design by comparing the differences between AI-generated data and real data. However, the level of quality and efficiency of intelligent design compared to human designers remains unclear. We conducted user experiments to compare the design quality and efficiency of advanced design methods with that of junior designers. The conclusion is advanced intelligent design methods are comparable with junior designers on painting. Besides, intelligent design uses only 10% of the time spent by the junior designer in the tasks of layout design, color matching, and video editing. |
| DOI | 10.1109/ISCID52796.2021.00022 |
| Citation Key | song_comparing_2021 |
Comparing Performance and Efficiency of Designers and Design Intelligence