Product Design Decision Oriented by Hierarchical Relevance of User's First Perceptual Demand

2019 7th International Forum on Industrial Design

工业技术（总论）

Wang, Yi^1 ; Lin, Siyin^1

Art and Design School, Xi'An University of Technology, 710054, China^1

关键词: Demand information;    Demand modeling;    Design decisions;    Electric scooters;    Feature analysis;    Hierarchical classification;    Multi dimensions;    Multi-hierarchy;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/573/1/012043/pdf
DOI  :  10.1088/1757-899X/573/1/012043

学科分类：工业工程学

来源: IOP

【 摘 要 】

The characteristics of "multi-dimensions, multi-hierarchy and correlation" of users towards the same product are shown in their perceptual demands. However, one or two perceptual expressions cannot precisely describe users' comprehensive perceptual demands for products. A semantic-Associated multiple perceptual demand model is proposed in this paper, focusing on the multiple perceptual demand model oriented by users characteristics. Through feature analysis of users and perception evaluation test to product, different perceptual demands for products corresponding to the typical characteristics of different users are established. Then the n-dimensional perceptual demand information of users to product plan and the corresponding position in the semantic space with typical features of user groups can be comprehensively described. By taking the design of electric scooters as the example, the "Product Design Decision Oriented by Hierarchical Relevance of User's First Perceptual Demand" is verified and a hierarchical classification method for first perceptual demand is proposed.