Creating Products Form Under Multi – Kansei Image

• Main Authors: Ying-Chi Chuang, 莊盈祺
• Other Authors: Yu-Ming Chang
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/f4p9v5

碩士 === 國立成功大學 === 工業設計學系碩博士班 === 90 === Products are not simple things, especially since they embody the complicated feelings of the consumer. When we think of a product, we cannot simply describe it with an adjective but rather many adjectives that form an image or feeling. Because peoples’ attitudes toward products are complicated in their meaning and degree, these reasons also add to the complexity of product understanding and expression of feeling. The purpose of this research was to research the relationship between multi-Kansei image and product form, moreover, find the best method of product form design under multi-Kansei image. To reach our goal, we decided to use Kansei vocabulary to find the most direct, relationship between consumer feeling and cellular phones. We then extracted the formal feature from the cellular phone that caused the particular reaction from the subject. Specifically, we linked the formal feature with one particular Kansei phrase. However, how do we address the problem of choosing the best formal feature to create product form? We investigated four different methods. In our experiment, our product design method was split into two parts: a method of using Kansei vocabulary to describe the product and a data analysis method. We combined the two parts to create four methods (the first part had two methods: percentage description method and a space description method; the second part also had two methods: multiple regression analysis and artificial neural network). We tested our four different methods of product design on our subjects using our pre-designed cellular phones. The subjects were asked to use the given Kansei phrases to describe the cellular phones. Using this data, we were able to find the best method for product form design under multi-Kansei Image . Our results from the four methods were as follows: Space method+ MR < Space method + NN < percentage method + MR < percentage method +NN Therefore, we concluded that the best method for product form design under multi-Kansei image is to first use a Space method to describe the product and then use multiple regression analysis to choose and to create suitable product formal feature.