• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.5
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• pp.654-662
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• 2002

The aim of this paper was to identify high school girls'satisfaction toward Korean traditional style school uniform and their clothing behaviour. The questionnaires were administered to 133 high school girl students in Pusan. To find out attitudes of Korean traditional style school uniform and their clothing behaviour, PC model, mineigen and Varimax Rotation of factor analysis were adopted. The results have shown that each four factors are identified in Korean traditional style school uniform's satisfaction and their clothing behaviour. Multiple Regression analysis has been used to investigate the relationship between these factors of attitudes and satisfaction toward Korean traditional style oriented school uniform. As a result, the relationship between factors of their school uniform behaviour and satisfaction of their school uniform has revealed. They tend to wear their school uniform in various occasions if their satisfaction becomes greater. Besides, the more students have recognized the uniform as symbol of status the more they become satisfied with their school uniform. The relationship between factors of clothing attitudes and satisfaction of school uniform has shown that its uniform doesn't promote students conformity since they might be aware of different style and design of their school uniform compared to other school uniforms.

• Science of Emotion and Sensibility
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• v.11 no.1
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• pp.81-90
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• 2008

Recently "smart clothing" has been developed more friendly and human centered design. As the diversified studies on physical factors such as comfort, usability, ergonomics and design for wearer have been examined, the smart clothing has been progressed in diverse aspects. In this research, we developed the design prototype of the bio-medical sensor based healthcare smart clothing and efficiency of clothing. As a result of study with developed designed prototypes of qualitative and quantitative tests for wearability and usability, we come up with evaluation items and supplements. In this study, based on result from evaluation on wearability and usability, the design prototype of sensor based healthcare smart clothing was revised.

• Journal of the Korean Society of Clothing and Textiles
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• v.9 no.1
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• pp.9-16
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• 1985

This study was an attempt to survey, the relationships between women's self-concept and preference in clothing design. For the measurement of the self-concept scale was to select the somatic self and the social self which were explained Jung Won Sik's. The preference rate in clothing design consists of 58 items and 3 factors. (color, form, and texture). The questionnaires were administered to a sample of women (between the ages of 20 and 50) who lived in Seoul, Korea. The data for 658 respondents were analyzed by Pearson's correlation coefficient, $x^2$-test, F-test and Duncan-test. Through this study, the followings were founds: 1. There were significant relations between the self-concept and the preference for clothing color in value, chroma and warmth. 2. There were no significant relations between the self-concept and the preference for clothing form in line, silhouette and style. 3. There were significant relations between the self-concept and the preference for texture in touch, thickness, weight and luster. 4. There were significant differences in the preference of clothing design according to their age. That was largely devided into two groups; one's 20' s and the others 30's$\~$40's.

• Korean Journal of Human Ecology
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• v.2 no.1
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• pp.110-113
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• 1999

Clothing shape is principally described in seven factors that are composed of clothing design, clothing material, clothing size, pattern design, sewing method and body motion etc. The aims of this study was to measurement out-line space-shape variation of clothing fitness with body by using the image processing. The subjects for direct anthropometric measurements were 248 female college students aged from 19 to 22. The data were statistically analyzed by principal analysis and cluster analysis. The results selected one somatotype. for the out-line space-shape variation of clothing fitness with body, there dimensional clothing shapes measured. and cross-sectional clothing shape obtained by the measurement was considered to be space wave form. The out-line space-shape variation of clothing fitness with body was observed between the node number and amplitudes of clothing wave form, and node number was determined at the maxim of space-shape amplitude, and the space-shape amplitudes have related with aspect ratio of cross-sectional shape. (Korean J of Human Ecology 2(1) :110-113, 1999)

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.810-824
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• 2007

The purpose of this study was to examine the women consumers' pursued clothing images and consumption values according to the value system. The data was obtained from questionnaires filled out by 305 women living in Seoul and Gyung-gi. For data analysis, factor analysis, cronbach's alpha, ANOVA and cluster analysis were used. The results of this study were as follows: First, value, pursued clothing images and clothing consumption values were consisted of various factors. Second, women's values influenced on the pursued clothing images and clothing consumption values. Third, according to value factors, women classified into four groups, And they showed different pursued clothing images and consumption values. Also they were differentiated with shopping frequency and age. Therefore, value system was the important factor which can suggest the women's pursued clothing images and consumption values and marketer should know the value system of targeting consumers.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.6
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• pp.1034-1044
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• 2016

This study seeks a method to objectively evaluate sensibility based on Big Data in the field of design. In order to do so, this study examined the sensibility responses on design factors for the public through a network analysis of texts displayed in social media. 'Hanbok', a formal clothing that represents Korea, was selected as the subject for the research methodology. We then collected 47,677 keywords related to Hanbok from 12,000 posts on Naver blogs from January $1^{st}$ to December $31^{st}$ 2015 and that analyzed using social matrix (a Big Data analysis software) rather than using previous survey methods. We also derived 56 key-words related to design elements and sensibility responses of Hanbok. Centrality analysis and CONCOR analysis were conducted using Ucinet6. The visualization of the network text analysis allowed the categorization of the main design factors of Hanbok with evaluation terms that mean positive, negative, and neutral sensibility responses. We also derived key evaluation factors for Hanbok as fitting, rationality, trend, and uniqueness. The evaluation terms extracted based on natural language processing technologies of atypical data have validity as a scale for evaluation and are expected to be suitable for utilization in an index for sensibility evaluation that supplements the limits of previous surveys and statistical analysis methods. The network text analysis method used in this study provides new guidelines for the use of Big Data involving sensibility evaluation methods in the field of design.

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.888-901
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• 2007

The purpose of this study was to examine the differences in clothing selection criteria and store selection criteria between each consumer groups by the preference for fast fashion. The data was collected from a questionnaire conducted on 317 female adults. The results were as follows. First, the factor analysis used to identify clothing selection criteria involved the following four factors: fashion, quality/practicality, status symbol, and economics. The consumer group preferring fast-fashion regarded fashion and economics as important factors and the non-preferring group regarded status symbol factor more. Second, five factors(atmosphere, product service/salesperson, shopping convenience, promotion/facilities) of store selection criteria were constructed by factor analysis, The consumer group preferring fast-fashion regarded atmosphere and product as important factors and the non-preferring group considered service/salesperson and promotion/facilities factors more. Third, the consumers who were of low age, low education, low income and unmarried preferred fast fashion brand.

• Journal of the Korean Society of Costume
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• v.24
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• pp.205-216
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• 1995

In this study, an experiment was made using the function of comfuter simulation as to whether the phenomenon of color optical il-lusion takes place also in clothing on the humanbody, three-dimensional space, through the case study of the color illusing of Goethe Value. One fat woman was slected as the exper-imental subject. She was made to wear the ex-perimental clothing, and then frontal picture was projected of in the experimental clothing, which was sacanned into the computer. For the sake of color illusion effect, construct 5 clothing design line and Yellow(9), Black(0), Red(6), Green(6). The basic design and the experimental de-sign were made one pair, and the pictures totalled 20 pictures. The extimating panel con-sist of 25 panellers and extimate factors of 9-point Scale. All the date from the experiment were analyzed by ANOVA and DUNCAN'S MUL-TIPLE RANGE. As a result, the experimental design all showed a significant optical illusion without C group in comparision with the basic design.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.2
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• pp.252-265
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• 2010

Most luxury fashion brands have a strong brand identity and the product design characteristics of a brand are critical factors that influence brand identity. The design of products influence brand identity and play an important role in the choice by consumers in which brand to purchase. This study investigates the impact design characteristics of luxury brands on brand attitudes as well as purchase intentions in the examination of the differences in the impact influence by product category and consumer characteristics. The product design of brands was evaluated and measured by innovative and traditional characteristics. The product categories were divided into apparel, bags, shoes, and accessories. The consumer characteristics used in this study are fashion involvement, age, income, and the amount of money used for purchasing fashion products. Sample brands, Louis Vuitton, Chanel, Hermes, Burberry, and Gucci, were extracted from the Intel-brand's Luxury Brand Ranking 2008 and pilot tested for appropriateness. The data collected from 120 luxury consumers and 92 samples were statistically analyzed with SPSS 15.0, reliability test, factor analysis, ANOVA, frequency test, regression, and t-test. The findings are as follow. First, luxury brands were divided into two groups by innovative design characteristics and traditional design characteristics; innovative design characteristics show a significant influence on brand attitude and purchase intention. Second, only fashion related behavior factors among consumer characteristics became moderators when design characteristics influenced brand attitude and purchase intention. Third, the differences in purchase intention affected by design characteristics were found in bags, shoes, and accessories category. It is necessary for luxury brands to focus on innovative design characteristics and to specify the different needs of consumers through fashion related behavioral factors. This research will be useful to luxury brands in designing products and planning marketing strategies by offering specific information for luxury brand consumers.

• Korean Journal of Human Ecology
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• v.5 no.1
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• pp.65-73
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• 1996

The purpose of this study was to investigate preference in clothing fashion design and clothing purchase behavior. The questionnaires were administered to 281 female university students in Cheongju area to measure of demographic information, preference in clothing fashion design, interest of fashion in clothing, and clothing purchase behavior. As statistical analysis, frequencies, $x^2$-test and ANOVA were used. The results were as follows : 1. There were different preference in clothing fashion design. 2. The female university students had moderate interest of fashion in clothing, and the interest of fashion in clothing were significantly different according to personal factors. 3. The female university students purchased mainly their clothings at department store, and they were purchased on sale. 4. Most of female university students purchased T-shirts and pants from February to April, 1995.