Research And Development Of Network-Based Kansei Image Survey System

Acquirement of product Kansei image information is indispensable in process of product development. During the concept design phase, the consumers' kansei image information on products is helpful for designers to confirm the product orientation, in case of it is well and truly comprehended. Also Kansei image can be precisely delivered to consumers via the product. Anciently, acquirement of product Kansei image information is usually achieved by means of a survey. The cost of human resources, time and money causes overburden in the process of product development. What's more, it slows down our progress. In order to avoiding those disadvantages, we can use a network-based Kansei image survey module to collect survey data via internet. By various kinds of data analysis method, the Kansei image of consumers' on products could be mined from the data. It is really a meaningful technology for product development. In detail, it helps designers do product orientation work, lead to product design process, accelerate product developing process and highly improve the whole benefit of product development.This dissertation is supposed to construct a network-based Kansei image survey system using computer technologies. So that researchers can start network survey conveniently and simply. And plenty of costs can be saved. Specifically the system features are as follows:1. By importing stimulus images and adjectives, a certain survey will be generated and published on WEB. And then some kinds of surveys can be evolved via internet.2. Multi-dimension scales, cluster analysis, principle component analysis are achieved in this system for data process and analysis.3. 2D or 3D image scale graph is achieved. More convenient for designers to comprehend the product Kansei image information.4. It is universality. Not limited to certain kind of products.