• Fashion & Textile Research Journal
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• v.22 no.5
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• pp.639-649
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• 2020

This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.

• Journal of the Korean Home Economics Association
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• v.41 no.9
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• pp.1-16
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• 2003

This study examined the clothing behavior in terms of creativity, individuality and conformity. The subjects were 317 boys(mean age: 18) and 312 girls(mean age: 18) in third grade of high school, in which were situated at north and south part of Han-River in Seoul. They were administered with the following questionnaires to measure the attitudinal and behavioral conformity, creativity, individuality, clothing conformity, clothing nonconformity, clothing confidence, aesthetic sense, clothing importance, fashionability. Results indicated that (1) high school students who have high creativity showed higher scores in clothing nonconformity, clothing confidence, aesthetic sense, clothing importance than those who have low creativity. But there were no significant differences between two groups in clothing conformity and fashionability(p<0.001). (2) High school students who have high individuality showed higher scores in clothing conformity clothing, nonconformity, clothing confidence, aesthetic sense, clothing importance and fashionability than those who have low individuality(p<0.001). (3) Students who have low attitudinal conformity showed higher scores in clothing nonconformity, clothing confidence and aesthetic sense(p<0.001) and lower score in information and norm specific clothing confirmity(p<0.05) than those who have high attitudinal conformity. And those who have high behavioral conformity showed higher score in clothing confirmity than those who have low behavioral confirmity(p<0.05). From these findings, we could find that the importance of creativity and individuality was greater than that of conformity in clothing behavior. These results were discussed and following studies were suggested.

• Journal of the Korean Society of Costume
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• v.61 no.4
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• pp.138-151
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• 2011

Due to its vast lands and rich underground resources, Mongolia is a country with high growth potential, even though it is currently in the early stage of economic development. In Mongolia, the Korean wave (Hallyu) has increased interests in Korea, especially in Korean fashion. This study analyzed lifestyles and examined the characteristics of clothing purchase behavior of Mongolian women in order to deepen the understanding of Mongolians' lifestyle and clothing purchase behavior and provide information for successful marketing strategies. The results based on 293 questionnaires showed that lifestyles consisted of six factors (socially active, beauty seeking, individualistic, simple comfort seeking, sensitive to others' perception, information focused) and four groups (socially oriented, individualistic, beauty seeking, and information seeking) were identified. Among the lifestyle groups, socially active group showed clear differences from other groups and there was no significant difference in demographic characteristics according to the lifestyle groups.

• The International Journal of Costume Culture
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• v.9 no.1
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• pp.52-59
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• 2006

The purposes of this study were to investigate and to compare the actual state of clothing gift giving behavior according to gender. A survey using questionnaire was conducted on 417 university students in the Cheongju area, Korea. The questionnaire was composed of questions concerning demographic factors, clothing gift giving behavior and purchasing behavior, and of multiple choice and 5-point scales depending on the characteristics of the questions. Frequency, descriptive analysis, x$^2$-test and t-test were used for a data analysis. Most of the students had experience of giving the clothing for a gift more than once during the year. They usually purchased the clothing for their parents and Fiends. The items of clothing were low purchasing risk items like sweater, T-shirts, underwear and shirts or blouse. The main reason for purchasing clothing gift for their parents and friends was based on mostly practical motivation.

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.173-180
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• 2008

The purposes of this study are to investigate what star marketing is and to examine whether star marketing influences clothing purchase behavior of adolescents or not. The concept and the instances of star marketing were reviewed and the characteristics and clothing behavior of adolescence were analyzed. The data were obtained from questionnaires completed by 341 middle and high school students and analyzed by frequency, t-test, chi-square test, cluster analysis, ANOVA, and Scheffe test. The Cronbach's alphas were calculated for the internal consistency. The results of the study are as follows. The sample was classified into three groups(high interest/high awareness group, high interest/low awareness group, and low interest/low awareness group) by the interest of TV watching and TV stars, the identification with TV stars, and the awareness and the interest of star marketing. There were significant differences in clothing purchase motives, the use of information sources, clothing buying places, clothing purchase frequency, and clothing expenditure among three groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.11
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• pp.1399-1408
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• 2011

This study analyzes the current educational curricula in the field of clothing construction to provide some fundamental information for developing more appropriate educational courses and to activate the fashion business. A total of 82 different departments related to fashion and apparel were selected from four-year domestic universities and the curricula recently posted on their internet websites were analyzed by descriptive statistics. More than half (53.7%) of the 82 departments were offering classes in the clothing construction field for 3 credits and 4 class hours. College affiliation of the departments that offered curricula in the clothing construction field was classified into 5 categories: the arts (34), human ecology (22), natural sciences (14), humanities/culture (9), and others (3). Human ecology category showed the highest results in the average class hours (3.9), the number of classes in the clothing construction field (7.6), and the percentage of the classes in the clothing construction field out of all major classes offered by the clothing department (19.9%). All 82 departments were classified into 3 categories of: fashion design (32), clothing (28), and fashion business (22). The clothing category showed the highest results in the average credits (2.8), class hours (3.8), the number of classes offered by the clothing construction field (7.6), and the percentage of the classes that offer clothing construction education out of all major classes offered by the clothing department (19.9%). The educational contents of clothing construction area were classified into 8 different categories of: basic theory and sewing, clothing construction, flat pattern, draping, tailoring and advanced clothing construction, pattern CAD, sewing science and apparel manufacturing process, and clothing construction for special needs. Among these categories, the draping category constituted 21.7% as the largest part. In addition, the distribution of classes offered by 4 academic years were analyzed into 8 different categories.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.381-382
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• 2019

Recently, various search techniques using artificial intelligence techniques have been introduced. It is also possible to use the artificial intelligence to grasp customer propensity. Analyzing the clothes that customers usually wear, it is possible to analyze various colors such as favorite colors, patterns, and fashion styles. In this study, we use artificial intelligence technology to create an application that distinguish between adults and children by combining various factors such as shape, type, color and size of human clothes. Through this, it will be possible to utilize it in a living area where children can be protected in advance by grasping the intrusion of unauthorized adults in the living area where children live mainly. In addition, in the future, we can obtain good results to detect stranger adult person if we apply this experimental result to the detection system using clothing information.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.183-192
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• 2024

The purpose of this study was to collect research related to virtual clothing conducted in Japan with virtual clothing as the keyword, and to understand research trends in the field of virtual clothing, including research timing, content, and methods. By doing so, I attempted to present a direction of travel for future research related to virtual clothing. An analysis of the academic fields of virtual clothing-related journals and dissertations revealed that the fashion field was the most common, followed by the natural sciences and the arts. The distribution of virtual clothing-related studies by year showed a gradual increase after 2000, a decrease between 2016 and 2020, and an increasing trend after the corona pandemic. Marketing was the most common research topic for virtual clothing, followed by virtual fitting, design, materials, and systems. Experimental research was the most common research method related to virtual clothing, followed by survey research and development research. n the future, research on fashion-related system development and verification of the effectiveness of virtual garments is expected to advance. In addition, it would be necessary to analyze trends in virtual clothing research outside of Korea.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.761-774
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• 2011

This study investigated the consumer review information considered important by consumers when making a purchase decision to buy apparel products online. Data were collected through focus group interviews. Eleven females in their 20s and 30s, who have extensive experience in reading consumer reviews posted on online apparel stores, participated in the study. The consumer review information considered important by participants is the information related to seven product attributes (size, fabric, design, color, sewing, price, and country of origin), seven benefits (functional, financial, esthetic, emotional, social, utilitarian benefits, and product value compared to price) of the apparel product and four store attributes (return/refund, delivery, reputation/credibility, and customer service). The findings from the study can serve as an important tool in developing survey questions in order to evaluate the quality of consumer review information and help online retailers plan methods to improve the quality of reviews.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.555-556
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• 2021

We propose a novel method based on a deep learning model with an optimized dynamic decay learning rate and improved model structure to achieve fast and accurate classification of fashion clothing images.