An Intelligent Color Recommendation Tool for Landing Page Design

被引:8
|
作者
Qiu, Qianru [1 ]
Otani, Mayu [1 ]
Iwazaki, Yuki [1 ]
机构
[1] CyberAgent Inc, Tokyo, Japan
来源
COMPANION PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, IUI 2022 COMPANION | 2022年
关键词
color recommendation; representation learning; landing page design;
D O I
10.1145/3490100.3516450
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Color plays an important role in users' attitudes and purchase intentions in the context of advertising. In landing page design, designers usually struggle with getting appropriate color palettes for multiple design elements, such as buttons, texts, and icons. Therefore, we build a color recommendation system for landing page design. To learn different color palettes for each design element instead of a single palette for the overall design, we use a color sequence combining multiple color palettes of design elements. We train a masked color model for color sequence completion and advertising performance prediction. Further, the system allows users to recolor a specified element in the image based on recommended colors. We conduct a user study by collecting qualitative feedback from professional graphic designers through interviews, which validates the usability of the proposed color recommendation system for landing page design.
引用
收藏
页码:26 / 29
页数:4
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