Integration on Kansei Engineering Product Design through Association Thinking

• Main Authors: Lin,Meng-Wei, 林夢葦
• Other Authors: Wang,Kun-Chieh
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/50632904384115033175

碩士 === 嶺東科技大學 === 科技商品設計研究所 === 100 === The study of Kansei Engineering is widely accepted. However, few of the studies link creative design into the process. Therefore, this study applies the iterative associate thinking to discuss affection. The goal of this study is to discover the form and image relations to employ into the product design. The outcome can stimulate the design creative and idea as a reference. In detail, this study used multi regression (MR) and Back Propagation Neural Network(BPN) to study the relations of forms and Kansei vocabulary. Four sets of vocabularies are used to MR and BPN to attain there differences. The results are : (1)the error of BPN is less than those of MR. Hence, BPN is available for feature analysis on product. (2)The flow type has 0.933 of error which is lower than the rest of other vocabulary. It displays that the form and button type offer good relations. The rest of the factors have little influences. (3) The above mentioned outcomes are based in iterative creative associated thinking to analyze the Product positioning, feature vocabulary, feature association to extract the design elements, images, transforming to build three new design forms. From the questionnaire, we attain that snail type forms that enhance the customer vocabulary of feature.