Intelligent positioning method for aesthetic preference of user interface based on Mahalanobis-Taguchi system

被引：0
作者：
Chu C. [1 ]
Dong Z. [1 ]
机构：
[1] School of Design, Shanghai Jiao Tong University, Shanghai
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2020年 / 26卷 / 10期
关键词：
Aesthetic preference; Feature extraction; Intelligent positioning; Mahalanobis-Taguchi system; User interface;
D O I：
10.13196/j.cims.2020.10.004
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aim on solving the issue of ignorance of user's aesthetic preference in the contemporary user interface design, a new rapid intelligent positioning method for aesthetic preference of user interface based on Mahalanobis-Taguchi System (MTS) was proposed. According to the fundamental design principles of cognitive science, the aesthetic influence factors of user interface were extracted as the rough features. Through a series of steps such as the construction of aesthetic reference matrix, the validity test of aesthetic reference matrix, the selection of aesthetic features, the optimization of aesthetic reference matrix and the determination of critical values, the prediction of user's aesthetic preference was successfully carried out, and the further guidance for the user interface design was provided. The result of the SaaS dashboard interface selection experiment showed that 80% of user's selection was the same with the prediction, which proved the validity and feasibility of the intelligent positioning method for aesthetic preference based on MTS. © 2020, Editorial Department of CIMS. All right reserved.
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收藏
页码：2642 / 2649
页数：7
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