| Summary: | 碩士 === 國立成功大學 === 工業設計學系碩博士班 === 97 === Color has played a significant factor to the message clothing carries. It produces interesting changes through different lights and angles. Under the influence of different light condition, the color of clothing appears differently. Because the color on the surface of clothing is changeable, it generates a diverse of visual effects to the viewers.
The purpose of this study is to explore the variation between common colors in clothing and light by applying the Munsell Color System and the research induced from the related evaluation factors. The evaluation factor can be the common light, the different skin tone of Taiwanese women, popular hair color, and the most fashionable color in clothing in 2009 and etc. Then, using the Genetic Algorithm to create a new combination of colors, and applying Color Harmony, which initiated by Parry Moon & Domina in 1944, as the fitness function. Then we simulate the evaluation criterion to strengthen the function of empirical study. Though a statistical analysis, we are able to standardize the feedback on the evaluation criterion.
In recent years, due to the influence of the Internet convenience and usage, many brands have engaged to the online market. Online shopping has become a formal and targeted platform for business. It offers customized order system, for instance, the composition of design and color of “Smart”, Benz serial vehicle; the combination of colors on a shoe’s brand like NIKE and VANS, and etc. However, the customized order system has failed to provide information on aesthetic and customer preferences. Therefore, this study is to research the relationship and influence between color combination on female clothing and the surrounding light in aesthetic. Furthermore, it will investigate deeply into the relationship in colors, products, consumers, and the perception by using the surrounding light, images, cultures, and consumer’s preference. This study also applies the optimization of Genetic Algorithm, which enables the users to select their favorite color combination on the products.
In order to reach the customization purpose and improve the customer satisfaction, color combination in clothing is chosen to be an example in this experiment. We divide a clothing system into five factors: the color of hair, skin, shirt, skirt, and environmental light. Then applying the Genetic Algorithm and the wide search in finding the favorite color combination in clothing, then choose 10 combinations to match the color aesthetic. Finally, regionally experiment the 10 color combinations on the female consumers in Taiwan.
Because most products (except the mono-color products) have shared a problem of finding the harmonious color, and different color combinations create different color image on visual, the results of this study is as the following:
(1) Base on the aesthetic factors, subjects with different attributes (sex, age, education level and background) will generate a diverse reaction and aesthetic appreciation. For instance, women in Tai Chung who age 30-40 tend to prefer cold color as their harmonious color. Whereas women in Tainan prefer those high colors with chroma.
(2) To harmonize color, color tone combination has a better result than hues combination. Statistic indicates that objects favor on warm tone and this result is related to the light aesthetic.
(3) In harmonizing color with the gene selection, a combination of shirts and skirts with fashion color will cause a bad color aesthetic when the amount of color unit is low. The Colorimeter will be affected by the original coding which will also be affected by the amount of color units. The result has been proven by this research; all objects are impressed in applying the Genetic Algorithms to find out their fond clothing color combination.
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