Recently, the word "kawaii" is getting familiar to many people. They have greater opportunities to use "kawaii" in their conversations, and so, the meaning contained in "kawaii" have become diverse with confusion. In despite of this situation, it seems like there are a lot of cases that pink is the typical color representative of "kawaii" on product planning. In this study, it is intended to classify the test subjects and clarify the taste characteristic of each cluster from the aspect of "kawaii". We conducted the survey to 360 women in their students to 30's by using the panel of 48 colors. As a result, six clusters of "kawaii" color were obtained. We found out that there are variations of "kawaii", and the point where people feel "kawaii", including colors, images and values differs from one type to another.
A prediction method of surface color of union fabric from individual color of yarns and weave was established. Thirteen color yarns were adopted as yarn samples, and sixty union fabrics consisted of two colors of yarns were weaved as fabric samples. Kubelka-Munk's law and Lambert-Beer's law were used to predict surface color as theory of subtractive color mixing. Moreover the isomeric matching method was used for making spectral reflection factor in prediction. It is an ideal color matching method that spectral reflection factor of object color is matched with spectral reflection factor of assignment color. The relationship among the density of predicted color (DF(λ)), the density of warp and weft colors (Dwarp(λ), Dweft(λ)) and the area ratio of warp and weft(S, 1-S) could be expressed as follows : DF(λ)=S#Dwarp(λ))(1-S) #Dweft(λ) In order to reduce the difference between the predicted color and the measured color, the difference between density of warp and weft was considered. As a result, the surface color of union fabric can be predicted accurately.
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