基于产品特征解构的多维感知信息模型构建

基于现有一维感性工学模型难以充分表达用户对产品的感知信息，提出基于产品特 征解构的多维感知信息模型构建方法。首先运用产品特征解构方法构建产品多维造型特征空间和 情感意象认知空间；其次结合相似度理论、多维尺度法和K-mean 聚类分析量化意象词汇，提取 代表性情感维度；之后运用主成分分析判定多维造型特征中的主要影响因子；最后运用多元线性 回归构建出多维变量表达的KE 模型。以微波炉为例，验证了该方法的可行性，结果表明该方法 能有效指导产品的精准化设计。

Model Construction of Multi-Dimensional Perception Information Based on Product Feature Deconstruction

Because plenty of the existing one-dimensional KE models cannot express the users’ perception information of products comprehensively. The method of structuring multi-dimensional perception information based on product feature deconstruction was proposed. Structured Multi-dimensional feature space and emotional perceiving space by using the method of product shape deconstruction; combined the theory of similarity, MDS and the K-mean CA to quantify the image vocabularies and extract the typical emotional dimension; determined the main influence factors with PCA. Finally structured the KE model of multi-dimensional variables by multiple linear regression analysis method. Based on an example of the microwaves, proved the feasibility of this method, and the result indicated that this method was more effective to lead product design.