摘要
目的提出面向多维感知的KE模型,解决完整表达消费者的情感需求,以及消费者需求向产品设计要素转化所得的结果时,提高产品形态设计阶段的实用价值的问题。方法首先采用语义差异法(SD)及主成分分析法构建消费者情感认知空间,然后利用多感官多维度的特征解构方法获得多维造型特征空间,在此基础上通过偏最小二乘法分析贡献率,建立多维造型特征空间与情感认知空间的映射关系,得到不同情感下对应的产品设计要素。结论利用KE模型获得了产品设计中造型特征要素与感性意象词的映射关系,解决了一维KE模型情感需求不全面的问题,同时向相关企业和设计者推荐产品设计中的关键设计要素。
The work aims to propose the KE model for multi-dimensional perception to solve the problem of improving the practical value of the product form design stage when fully expressing the emotional needs of consumers and the results of transforming consumers’ needs into product design elements. Firstly, the semantic difference method(SD) and principal component analysis were used to construct consumer emotion cognitive space. Then, multi-sensory multi-dimensional feature deconstruction method was used to obtain the multi-dimensional modeling feature space. On this basis, the contribution rate was analyzed by partial least square method, the mapping relation between multi-dimensional modeling feature space and emotional cognitive space was established, and the corresponding product design elements under different emotions were obtained. The proposed KE model is used to obtain the mapping relation between modeling feature elements and perceptual image words in product design, which solves the problem that the emotional needs of the one-dimensional KE model are not comprehensive, and recommends key design elements of product design to related enterprises and designers.
作者
周庆燕
何利力
郑军红
ZHOU Qing-yan;HE Li-li;ZHENG Jun-Hong(Zhejiang University of Technology,Hangzhou 310018,China)
出处
《包装工程》
CAS
北大核心
2019年第22期164-168,189,共6页
Packaging Engineering
基金
浙江省科技厅重大项目(2015C03001)
关键词
KE模型
语义差异法(SD)
主成分分析
多维感知
特征解构
偏最小二乘
KE model
semantic difference method(SD)
principal component analysis
multi-dimensional perception
feature deconstruction
partial least squares