• CN:11-2187/TH
  • ISSN:0577-6686

›› 2010, Vol. 46 ›› Issue (2): 178-184.

• 论文 • 上一篇    下一篇

产品设计中用户感知意象的思维结构

张艳河;杨颖;罗仕鉴;潘云鹤   

  1. 华南农业大学艺术学院;浙江大学计算机科学与技术学院
  • 发布日期:2010-01-20

Mental Construction of User Perception Image in Product Design

ZHANG Yanhe;YANG Ying;LUO Shijian;PAN Yunhe   

  1. College of Arts, South China Agricultural University College of Computer Science and Technology, Zhejiang University
  • Published:2010-01-20

摘要: 为获取产品总意象、子意象和产品构成元素之间的关系,分析了产品设计中用户感知意象的生成机制,并提出了感知意象思维结构的模型。以太阳镜外形为研究案例,采用多元自适应回归样条技术构建产品总意象与造型、色彩、材质和光影子意象的关系模型,据此应用子意象最低规则和意象值近似规则,在Matlab软件中求解四个子意象的最优组合。采用回归树技术得到各子意象与产品构成元素的关系模型,进一步地以感知意象区间为基础,求解对应于四个最优子意象的最优产品构成元素,据此得到对应于用户感知意象的最优产品构成元素组合。研究表明:在感知意象的思维结构中,产品子意象与构成元素的关系可用树结构表征,而与产品总意象之间存在复杂的映射关系。

关键词: 产品构成元素, 多元自适应回归样条, 工业设计, 回归树, 用户感知意象

Abstract: In order to obtain the relationships among the product whole perception image (PWPI), the product sub-perception image (PSPI) and the product elements (PE), the formation mechanism of the user perception image (UPI) is analyzed in product design, and the UPI model of mental construction is proposed. By taking the sun glasses as an example, the mapping relationship between the PWPI and four PSPI i.e. form, color, material and shade, is built by applying the multivariate adaptive regression splines. And then the optimum combination of the four PSPI is solved in Matlab software by using the most approximate and the lowest image-value rules. The relation model between PE and each PSPI is established by making use of the regression tree. The optimal PE combination related to the optimum four PSPI is further obtained on the basis of UPI interval. And then the optimum PE combination related to certain UPI is obtained. The study shows that, in the mental construction of the user perception image, there is complicated relationship between PWPI and PSPI, and the tree structure can represent the relation between PSPI and PE.

Key words: Industrial design, Multivariate adaptive regression splines, Product elements, Regression tree, User perception image

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