The Measurement of Product Design Attributes through Consumer Perception

碩士 === 國立臺灣大學 === 機械工程學研究所 === 103 === The evaluation of design attributes is an important step in design process. In this phase, in addition to objective needs, subjective needs for a product should also be considered. Two methodologies, Kansei Engineering and product emotion measurement using Em...

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Bibliographic Details
Main Authors: Haoyang Chen, 陳浩洋
Other Authors: Shana Smith
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/39942491362608323875
Description
Summary:碩士 === 國立臺灣大學 === 機械工程學研究所 === 103 === The evaluation of design attributes is an important step in design process. In this phase, in addition to objective needs, subjective needs for a product should also be considered. Two methodologies, Kansei Engineering and product emotion measurement using Emotion Card, have been developed in Japan and the U.S. respectively. They are used to measure the emotional impact of product attributes. However, these methods are confront with the following issues: i.Because of the cross-cultural influence, both Kansei Engineering and product emotion measurement using Emotion Card need to be validated in Taiwan. ii.There are heavy burdens for designers to evaluate large amounts of attributes. iii.It is hard to make decision concerning design attributes using Kansei Engineering or product emotion measurement. As the results of these two methods correspond to several Kanseis or product emotions, the decisions would be mostly based on the designers’ attitudes and knowledge. This thesis aims to solve the above-mentioned problems. In part A, the first study was to explore the emotions behind each Emotion Card. And the second study was to show that Kansei Engineering and product emotion measurement are effective in Taiwan. In part B, a method using search volume data provided by Google Trend was constructed to evaluate design attributes. And a case study on car styles was conducted to demonstrate the effectiveness of the proposed approach. Finally, Kansei Engineering and product emotion measurement were used to validate the models built by the proposed approach.