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A questionnaire for parents was used to examine the characteristics of their purchase attitude toward children’s shoes. They were asked the reasons for their purchase, and could choose any number of options. Responses obtained from 58 respondents were encoded into 58 binary vectors in 16 dimensions, encoding the choice of an option as a “1” and a non-choice as “0.” A cluster analysis of these vectors using the method of Baroni-Urbani and Buser as the criterion for similarity was used to classify the tendencies of the respondents in terms of choice patterns. The characteristics of the choice patterns classified in each cluster were considered from the perspective of the number of choice reasons included in the classified vector and the place of purchase, method of decision, and daily policy, which were answered in other questions.
The aim of this study is to develop a method of creating a graphical analysis that shows the relations between Kansei evaluation and design elements. In the first stage, all samples are mapped on a two-dimensional plane according to the results of analysis on design elements. The coordinates of each sample in the map are solved by the Quantification Theory Type 3 model using the computation method of correspondence analysis. In the next stage, a three-dimensional contour map is created for the specific Kansei word the researcher or product designer wishes to focus on. The Kansei evaluation value for each sample is added as the height of the sample in the map. Then the contour which interpolates between the Kansei values of the samples is computed using local regression smoothing. The proposed methodology creates a 3-D contour map that helps researchers to recognize both the linear and complicated nonlinear relations between Kansei and design elements.
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