• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.82-92
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• 2012

This study is on the color expression of 100 male bike helmet products examining color image scale with high preference, PCCS color system applied color analysis and influence of color in decision making. The targets are all domestically distributed male bike helmets. The image scale was divided into 4 sections (Soft, Hard, Dynamic and Static) by color, and color image scale was analyzed to top 10 priority products. And analysis according to PCCS color system was made. Finally, questionnaire survey was carried out to analyze the influence of color on purchase decision making. The questionnaire survey was carried out to male in 20s~50s who were the member of 18 bike clubs in S agent in Seoul. 414 out of 422 sheets except for 8 insufficient ones were used. The results can be divided into 3.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.277-287
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• 2021

The purpose of this study is to establish a model that can quantitatively diagnose personal color. Representative color systems for personal colors have limitations in that it oversimplify personal color diagnosis types or it is difficult to distinguish objective differences between diagnosis types. To develop a brand new color system that enhances this, a PCCS color system capable of logical color was introduced and reclassified based on the four main properties of color. Twenty diagnostic types, which are more diverse than the existing color system were proposed and a quantitative method was used to evaluate the degree of harmony with a subject to find an optimized type of subject. The experimenter's individual competency and subjective intervention were minimized by devising a matrix in which a type suitable for the subject is derived when the coded evaluation result is substituted. Finally a quantitative diagnosis model of personal color consisting of three stages: property diagnosis, coding, and seasonal diagnosis was constructed. It can be seen that this will give diversity, reliability, and accuracy to the existing diagnostic methods.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.349-354
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• 2019

The purpose of this study is to measure and analyze color image scale when viewing the public objects installed in Kongju National University and the installation environment, and preferred colors and color image scale in the color planning. The research was conducted with the analysis of the sculpture installed in the school and the questionnaire for the students. As a result of the study, suggestions were made for points to be considered for user's perception of environmental sculptures in the school and when constructing the sculpture. This study approaches the color of the public environment sculpture installed in the school academically, and proposes factors to be considered in the color planning stage in the future. Therefore, it is expected that this study will provide appropriate guidelines for the installation and planning of the sculpture in the school.