• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.3
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• pp.428-437
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• 2018

This study derives evaluation terms by analyzing the semantic relationship between design elements and sentiment terms in regards to fashion design. As for research methods, a total of 38,225 texts from Daum and Naver Blogs from November 2015 to October 2016 were collected to analyze the parts, frequency, centrality and semantic networks of the terms. As a result, design elements were derived in the form of a noun while fashion image and user's emotional responses were derived in the form of adjectives. The study selected 15 noun terms and 52 adjective terms as evaluation terms for men's striped shirts. The results of semantic network analysis also showed that the main contents of the users of men's striped shirts were derived as characteristics of expression, daily wear, formation, and function. In addition, design elements such as pattern, color, coordination, style, and fit were classified with evaluation results such as wide, bright, trendy, casual, and slim.

• Fashion & Textile Research Journal
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• v.21 no.1
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• pp.46-58
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• 2019

This study analyzes the effects of lifestyle on wetsuits purchasing behavior and identifies various characteristics among lifestyle groups. A questionnaire survey of 213 domestic consumers with water sport activity and wetsuits experience indicated the following results: 1) Lifestyle factors were analyzed as 6 factors: social relation ships, development orientation, trend & appearance, domestic, positive acknowledgement of hobbies, pursuit of practicality. And the wetsuits selection criteria was 4 factors: wearing fitness, product information, design, reputation. 2) Social relationships, development orientation, positive acknowledgement of hobbies and pursuit of practicality factors had a positive effect fitness. Trend & appearance, development orientation, and pursuit of practicality factors had a positive effect on product information factors ; in addition, development orientation, and trend & appearance, a positive acknowledgement of hobbies factors had a positive effect design factors. Social relationships, trend & appearance, and pursuit of practicality factors had a positive effect on reputation factors. However, trend & appearance factors negatively affected the wearing fitness factors and the positive acknowledgement of hobbies factors had negative effect on product information, reputation factors. 3) The three groups of lifestyle factors showed differences in monthly average purchasing of clothes, average annual purchasing expenditures for water sports related products, number of water sport activity days and frequency, product selection criteria.

• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.39-48
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• 2009

This study reviews the limit of image search by considering on the image search methods related to content-based image retrieval and suggests a user interface for more efficient content-based image retrieval and the ways to utilize image properties. For now, most studies on image search are being performed focusing on content-based image retrieval; they try to search based on the image's colors, texture, shapes, and the overall form of the image. However, the results are not satisfactory because there are various technological limits. Accordingly, this study suggests a new retrieval system which adapts content-based image retrieval and the conventional keyword search method. This is about a way to attribute properties to images using texts and a fast way to search images by expressing the attribute of images as keywords and utilizing them to search images. Also, the study focuses on a simulation for a user interface to make query language on the Internet and a search for clothes in an online shopping mall as an application of the retrieval system based on image attribute. This study will contribute to adding a new purchase pattern in online shopping malls and to the development of the area of similar image search.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.3
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• pp.373-384
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• 1999

The purposes of this study were 1) to test the differences between two groups who have high and low purchase of apparel in low-price retailing concerning consumers' beliefs and attitude toward low-prce retailing 2) to identify differences between these two groups in type of information search and use of information sources and 3) to investigate differences between department store and low-price retailing in consumers' satisfaction toward products and purchase frequencies of apparel items and differences between two groups in demographic variables. The data were collected via a self-administeered questionnaire from 474 femail adults in Seoul Korea and analyzed by factor analysis t-test and paired t-test. The results of this study were as follows : First based on a series of t-test and paired t-test. the results showed that those who had a high purchase of apparel in low-price retailing had significantly higher belief scores on all of the five store attributes and a more favorable attitude toward low-price retailing than did those who had low purchase. Second those who had high purchase of apparel in low-price retailing had significantly higher scores on ongoing and prepurchase information search and on use of mass media information and interpersonal information source than did those who had low purchase. Third in case of high purchase consumers of apparel in low-price retailing there were not found significant differences between department store and low-price retailing there were not found significant differences between department store and low-price retailing in purchase frequency on man's and women's casual wear of department stores than low-price retailing. However low purchase consumers of apparel in low-price retailing revealed significantly higher purchase frequency on all of seven apparel items of department stores than low-price retailing. Finally there were significant differences between two groups in demographic variables. The papers discussed theoretical implications as well as manageral implications.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.307-314
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• 2021

This study aimed to apply the principle of the semantic network to a long novel in an attempt to understand the structure of the entire document and the manifested relationships between words and words. The costume expressions in Murakami's novel Norwegian Wood were analyzed based on the characters' symbols, relationships, and personality characteristics. The study identified the symbols of the characters in the novel and the relationship properties between the characters through the Clauset-Newman-Moore clustering algorithm. The descriptions and symbols of the relationships between the characters were identified within the worldview that the author had intended. Further, it was confirmed that the expression of each costume according to the character's personality was also connected to the clue that explained said character. This fusion study is academically significant in that it presents a new methodology for analyzing literary works

• Smart Media Journal
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• v.10 no.1
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• pp.116-123
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• 2021

Due to the rapid growth of the online fashion market and the resulting expansion of online choices, there is a problem that the seller cannot directly respond to a large number of consumers individually, although consumers are increasingly demanding for more personalized recommendation services. Images are being tagged as a way to meet consumer's personalization needs, but when people tagging, tagging is very subjective for each person, and artificial intelligence tagging has very limited words and does not meet the needs of users. To solve this problem, we designed an algorithm that recognizes the shape, attribute, and emotional information of the product included in the image with AI, and codes this information to represent all the information that the image has with a combination of codes. Through this algorithm, it became possible by acquiring a variety of information possessed by the image in real time, such as the sensibility of the fashion image and the TPO information expressed by the fashion image, which was not possible until now. Based on this information, it is possible to go beyond the stage of analyzing the tastes of consumers and make hyper-personalized clothing recommendations that combine the tastes of consumers with information about trends and TPOs.

• Annual Conference of KIPS
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• 2017.04a
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• pp.708-711
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• 2017

최근 의류업계에서는 데이터마이닝을 이용하여 의상을 추천하는 시스템에 대한 연구가 활발하게 진행되고 있다. 하지만 기존 연구들은, 의상구매가 온 오프라인 모두에서 활발함에도 불구하고 온라인 쇼핑몰에서 얻을 수 있는 데이터에 국한되어 연구가 진행되고 있다. 본 논문에서는 온라인 데이터 위주의 기존 의상 추천 시스템을 스마트 홈 미러의 가상 착의시스템을 사용하여 온 오프라인 데이터를 모두 반영한 추천시스템을 구현했다. 또한 사용자에게 적합한 추천시스템을 제공하기 위해 지역별 인구분포와 사용자 기본DB를 단계별로 그룹화 했다. 정확도와 사용자 만족도를 향상 시키고자 단계별로 가중치를 부여해 협업 필터링과 날씨, 종류, 색상을 속성으로 한 내용기반 필터링을 결합하는 시스템을 제시했다.

• The Research Journal of the Costume Culture
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• v.9 no.1
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• pp.86-99
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• 2001

The purpose of this study was to identify and profile store browsers in terms of their browsing motives, fashion behavioral characteristics, buying behavior and preferred store attributes. The data were collected through questionnaire from 302 female college students by convenient sampling method. Statistical analysis of factor analysis, x²-test, and t-test were performed in analyzing the data. The browsing motives of browsers were to obtains fashion information, sensory stimulation and diversion from routine life. They showed the high level of fashion involvement, shopping confidence, shopping innovativeness, shopping opinion leadership as well s fashion opinion leadership. Browsers tended to be impulse buyers and spent more money on clothing than non-browsers. The attributes that influence their store choice were the variety of products and brands, information availability ,and pleasant store atmosphere.

• Journal of the Korea Fashion and Costume Design Association
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• v.4 no.2
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• pp.103-126
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• 2002

The purpose of this study was to examine the consumer's quality evaluation on the apparel of adult males and females. A demonstrative study was conducted using a questionnaire on adults over 20 years old who were considered to afford to purchase clothes. A total of 380 questionnaires were used for the demonstrative analysis. The study used SPSSWIN V.8.0 for the analysis. Frequency analysis, ANOVA, t-test, multiple regression analysis, and duncan test are executed. The study result is as follows: First, 19 attributes of customer quality perception are grouped into 2 categories of satisfier, dissatisfier factor by the role of each attribute. Second, significant differences are found partly in quality indications- including fabric compositions, sizes, fabric care, manufactured-place, and the place of origin, the importance degree of indication and general satisfaction in quality indicating system.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1697-1707
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• 2006

Relentless advances in information technology are constantly transforming market dynamics of the retail industry. RFID is an emerging innovative technology that can reduce labor costs, improve inventory control and increase sales by effective business processes. Apparel retailers need to recognize the benefits of RFID and identify critical success factors. By focusing on apparel retailers, this study attempts (1) to identify the reality of RFID associated with benefits; and (2) to prospect the implementation of RFID in apparel retailing. We conducted a focus group interview with selected six panels who were experts of retail industry in the United States to obtain data regarding RFID attributes. Content analysis was used to generate related excerpts and classify 31 attributes of RFID benefits from the meaningful 173 responses. For experience of RFID, retailers were familiar with RFID technology and expressed the belief that RFID basically would support an existing retail system for speed to markets. However, retailers addressed the level of experience with RFID technology that they were still in the early adoption stage among few innovative companies. The content analysis identified five dimensions of RFID benefits for apparel retailing: Visibility and Velocity, Revenue Enhancement, Customer Service, Security, and Employee Productivity. This result lends support to the belief that RFID has a significant potential to streamline supply chain management, store operation and customer service for apparel retailing. This study provides intellectual and managerial implications far practitioners and researchers by postulating the effective use of RFID in the apparel retail industry.