CAKE: An Extensible Kansei Survey and Analysis System

博士 === 國立臺灣科技大學 === 設計研究所 === 96 === User experience is one of the most important issues in design. Lots of methods have been proposed for experience design, among which, Kansei Engineering is frequently employed for helping designers understand users’ preference and applying it to products. With th...

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Bibliographic Details
Main Authors: Yaliang Chuang, 莊雅量
Other Authors: Lin-Lin Chen
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/76757222318454579113
Description
Summary:博士 === 國立臺灣科技大學 === 設計研究所 === 96 === User experience is one of the most important issues in design. Lots of methods have been proposed for experience design, among which, Kansei Engineering is frequently employed for helping designers understand users’ preference and applying it to products. With the help of advanced computer technologies, several computerized Kansei Engineering systems have been developed. However, due to the arbitrary format of data representation schemes and the absence of integration mechanisms, it is not easy to merge or to compare the results between different studies. For this problem, a comprehensive CAKE (Computer-Aided Kansei Engineering) system with extensibility is developed by using the XML (Extensible Markup Language) technology. There are two major components of this system: tools for survey and for data analysis. The survey tool facilitates researchers to design an interactive experiment and use it to collecting users’ preference data efficiently and effectively. By visualizing the results of frequently used statistics, the analysis tool assists researchers to examine the data and accumulate the findings into an XML file. In order to improve the efficiency and accuracy of data collection, there are six types of interactive survey tools developed. Among them, there are two tools for investigating large set of stimuli. By conducting the experiments to compare with the traditional approaches, the improvement of efficiency and reliability of these computer-based methods was investigated. This system has been applied to several studies with products, such as automobiles, sofas, and kettles.