计算机集成制造系统 ›› 2020, Vol. 26 ›› Issue (10): 2642-2649.DOI: 10.13196/j.cims.2020.10.004

• 当期目次 • 上一篇    下一篇

基于马田系统的人机界面审美偏好智能定位方法

储程,董占勋+   

  1. 上海交通大学设计学院
  • 出版日期:2020-10-31 发布日期:2020-10-31
  • 基金资助:
    上海交通大学中央高校基本科研业务费资助项目(17JCYB07)。

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

  • Online:2020-10-31 Published:2020-10-31
  • Supported by:
    Project supported by the Fundamental Research Funds for the Central Universities of Shanghai Jiao Tong University,China(No.17JCYB07).

摘要: 针对当前人机界面设计中存在的对设计对象审美偏好研究不足的问题,提出一种利用马田系统对人机界面审美偏好进行智能定位的方法。该方法基于人体视觉审美认知的基本设计准则,提取出影响人机界面美感偏好的因素作为审美粗特征。通过构建审美基准空间、基准空间有效性检测、审美特征筛选、优化基准空间、确定临界值等系列流程,对用户审美偏好进行成功预测,进而对人机界面设计提供指导。在SaaS类人机界面偏好选择验证实验中,该方法智能预测成功率达到80%,验证了基于马田系统以小样本快速智能定位人机界面审美偏好方法的有效性和可行性。

关键词: 人机界面, 审美偏好, 马田系统, 特征提取, 智能定位

Abstract: 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.

Key words: user interface, aesthetic preference, Mahalanobis-Taguchi system, feature extraction, intelligent positioning

中图分类号: