• Title/Summary/Keyword: 사이즈만족도

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Body Cathexis and Satisfaction with Clothing Size of Elderly Women (I) (노인계층의 의생활 실태에 관한 연구 (I) -노년여성의 연령 및 체형별 신체만족도와 기성복 사이즈만족도-)

  • 남윤자;윤희숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.6
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    • pp.962-974
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    • 1996
  • This study aimed to provide basic data in designing clothes for the elderly women. The subjects in this study were 230 elderly women over sixty years old. The major objectives of this study were as follow; 1 Categorization of the subjects based on their age and Rohrer index. 2. Relationship between age and body cathexis. 3. Relationship between age and clothing size satisfaction. 4. Relationship between age and clothing attitudes. The results were as follows; 1. Height decreased while bust, waist and hip circumstances increased with ageing. 2. All subjects were dissatisfied with their body changes associated with ageing. 3. The women over seventy years old were more dissatisfied with apparel size than those in the sixties. Especially the women aged over 75 complained the back length and the crotch length. 4. The elderly wowed were insterested in sewing condition, size and comfort with ageing even though they considered color and design as the most important attribute in selections clothes.

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Consumer Characteristics Relating to Business Jacket Practices -Focus on Working Women in the U.S.- (미국 직장여성들의 비지니스 쟈켓 착용과 관련된 소비자 특성 분석)

  • Yoo, Seul-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.12 s.159
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    • pp.1649-1660
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    • 2006
  • IIn the United States, professional dress codes for working women have changed over time since the 1970s. Considering the changes, from conservative and traditional business uniforms in the 1970s, business casual in the late 1980s through 1990s, and the current revival of tailored business suits, this study investigated working women's business jacket practices and their association with personal, psycho-social, and physical characteristics. Working women's job satisfaction and corporate culture were also examined in relation to business jacket practices. Research data were collected by implementing mail surveys to 1,500 randomly selected working women in the United States. Of the 1,500 distributed questionnaires, a total of 312 were returned, of which 265 were deemed usable, yielding a 20.8% response rate. For data analysis, descriptive statistics, such as frequency, percentage distribution, mean scores, standard deviations, and Canonical Correlation were tabulated. The respondents ranged in age from 22 to 65. The mean age of the respondents was 44 years(SD=9.63). Most respondents were married(77.4%), working full-time(81.4%), career-oriented (77.2%), Caucasian(89.8%), had at least one child(78.9%), and had a professional job(75.9%). Working women's age, number of children, self-confidence in dressing, perceived importance of clothing, body frame size, and visibility to superiors and public were positively associated with business jacket practices, while age of first child, family size, dress size, and job satisfaction were negatively associated with business jacket practices.

Comparative Pattern Analysis and the Fitness Evaluation of Brassieres (국내.외 브래지어의 패턴비교분석 및 착의평가 연구)

  • Suh, Chu-Yeon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.34 no.4
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    • pp.673-685
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    • 2010
  • This study evaluates the fitness of brassieres through size measurement, comparative pattern analysis, cross section map analysis, 3-D shape analysis number, and fitness evaluation with a focus on domestic and overseas brands. Experimental brassieres were selected as mold brassieres of 3/4 cup in 75A size that is considered a popular design. Brands of selected brassiere were 2 domestic brands (A, B), 1 licensed brand (C), and 2 overseas brands (D, E). Subjects were 8 women in their early 20's. Data were analyzed by descriptive statistics, analysis of variance, reliability analysis, and factor analysis. The results were as follows; the size and pattern of brassieres showed a difference by each brand even though brassieres are the same design. In the wearing effect of brassieres, overseas brand brassieres played a major role in the breast-up effect, but they were not appropriate for the somatotype of Korean women. Domestic brand brassieres showed the volume-up effect, that was confirmed by the increasing bust circumference, bust depth when subjects wore it. In addition, the licensed brand brassieres showed the correction effect of body shape. Therefore, when purchasing a brassiere, the most important condition is to consider the individual characteristics of the somatotype. The results of factor analysis through a functional evaluation show that wearing satisfaction, size satisfaction, and the position of the bust point were important factors for fitness satisfaction and purchase.

Suitable clothing recommendation system by size and skin color (의류 사이즈별 및 피부톤에 기반을 둔 의류 추천 시스템)

  • Park, Chang-Young;Lim, Byeong-Chan;Lee, Won-Joon;Lee, Chang-Su;Kim, Min-Su;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.407-413
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    • 2022
  • Existing clothing recommendation systems remain at the level of showing appropriate photos when a user selects a type of clothing he or she likes after entering his or her own body size or body size. When a user purchases clothing using such recommendation systems, there are many cases in which it does not fit or does not fit the user's body size. In this study, to solve these problems of existing clothing recommendation systems, a system was implemented in which the user receives not only size but also skin tone and recommends clothing suitable for the user's body size as well as skin tone. In this system, clothing size information obtained through web crawling was periodically stored in a database for eight male tops to recommend clothing, and the entire pixel of the clothing image was analyzed to extract color text values. In order to confirm the performance of this system, a survey was conducted on 100 male college students, and the satisfaction level was 70%. Most of the reasons for not being satisfied are that the recommended clothing is limited, so it is judged that it is necessary to expand the target clothing in the future.

Effects of Body Positivity and Types of Expression on Social Media, and Women's Subjective Body Size on Mood and Appearance Satisfaction (소셜 미디어에서 나타나는 신체 긍정주의와 표현 방법, 여성의 주관적 신체 사이즈 인식이 기분 상태와 외모 만족도에 미치는 영향)

  • Lee, Minsun;Lee, Hyun-Hwa
    • Fashion & Textile Research Journal
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    • v.22 no.2
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    • pp.170-180
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    • 2020
  • Body positivity has emerged among young social media users with the purpose of enhancing a positive body image. In the social media environment, body positivity is frequently presented in the forms of female models' images and/or words that represent individual attitudes toward the female body. The media effects on female viewers' body image differs based on the viewers' perceptions of their own body size. This experimental study examined how body positivity and types of expression on social media influence women's mood and appearance satisfaction by subjective body size. We randomly assigned to 415 young and middle-aged females to one of six experimental conditions which contained three images and three vignettes, each reflecting non-body positivity, body positivity, and control. We used a 3 (body positivity: non-body positivity vs body positivity vs. control) × 2 (types of body positivity expression on media: images vs vignettes) × 2 (subjective body size: under/normal weight vs overweight/obese) between-subject design. The results of MANCOVA revealed the significant main effects of subjective body size on women's mood and appearance satisfaction. There was a significant interaction effect of body positivity and subjective body size on appearance satisfaction. The stimuli representing body positivity caused positive psychological effects for women who perceive themselves being in the under/normal weight range.

Effects of Model's Body Size in Online Shopping Site on Female Consumers' Body Image (온라인 쇼핑사이트 모델의 신체사이즈가 여성소비자의 신체이미지에 미치는 영향)

  • Lee, Minsun;Lee, Hyun-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.5
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    • pp.839-854
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    • 2018
  • This study (1) explores female consumers' attitudes toward fat people and perceptions about plus-size models, (2) addresses female consumers' responses to models with different body sizes, and (3) examines the effect of plus-size model presence on female consumers' body image. We collected an online questionnaire from a total of 600 female participants in their 20's and 30's. Stimuli included six full-colored photo images of models with thin and plus body sizes (three in each group). Images were captured from the online shopping site of the fashion brand currently providing both average and plus-size clothes. Respondents were randomly assigned one of the groups by model size. Results support the sociocultural perspective that a thin/ideal body of models has a negative influence on female viewers' sociocultural attitudes toward appearance, mood state and body satisfaction. Findings also suggest that exposure to plus-size models can reduce negative media effects on females body image perceptions, regardless of individual body size.

A Study on the Size Information Presentation Method of Women's Upper Garment in Internet Shopping Malls for the Improvement of Consumer Satisfaction (소비자 만족도 향상을 위한 인터넷 의류 쇼핑몰의 여성 상의류 사이즈 정보 제시 방안에 관한 연구)

  • Lee, Mi Yeon;Hwang, Sun Jin
    • Journal of the Korean Society of Costume
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    • v.63 no.3
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    • pp.95-109
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    • 2013
  • This thesis was conducted with the purpose of proposing a systematic and comprehensive system for women's upper garment sizes so that the satisfaction level of women purchasing the upper garment products in Internet shopping malls is enhanced. To achieve this, this study first conducted a survey of women from the ages of 18 to 39 and attempted to discover consumer satisfaction levels and preferences of the clothing product sizing system of Internet shopping malls. While keeping track of the global distribution environment, an optimal clothing sizing system for Korean women that fit recent changes in their body shapes was proposed. The results of this study are as follows. First, A result of studying the satisfaction levels and preferences of consumer's purchase experience and the sizing system showed that 48.6% of the total respondents were dissatisfied with the current sizing system. Second, based on the research of the size classification system of domestic and foreign upper garment for women, unlike domestic Internet shopping malls, overseas generally offer several size classifications. Third, results of studies 1 and 2 was used to propose an optimal clothing products sizing system method. Also, the body and product sizes and the measurement methods should be offered together. In summary of all these results, by establishing globally compatible sizing system, consumers are able to recognize their sizes on their own and by doing this, it will lower perceived risk of the consumers at the time of a Internet shopping mall purchase, and this will raise their level of satisfaction while making purchases.

Extraction of full body size parameters for personalized recommendation module (개인 맞춤형 추천모듈을 위한 전신 신체사이즈 추출)

  • Park, Yong-Hee;Chin, Seong-Ah
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.12
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    • pp.5113-5119
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    • 2010
  • Anthropometry has been broadly explored in various fields including automobile industry, home electronic appliances, medical appliances and sports goods with aiming at reaching satisfaction to consumer's need and efficiency. However, current technologies to measure a human body still have barriers in which the methods mostly seem to be contingent on expensive devices such as scanner and digital measuring instruments and to be directly touchable to the body when obtaining body size.. Therefore, in this paper, we present a general method to automatically extract size of body from a real body image acquired from a camera and to utilize it into recommend systems including clothing and bicycle fitting. At first, Haar-like features and AdaBoost algorithm are employed to detect body position. Then features of body can be recognized using AAM. Finally clothing and bicycle recommending modules have been implemented and experimented to validate the proposed method.

A Survey on Actual Wearing Condition and Satisfaction of Functional Inner Winter Uniform for Male Soldiers in Korea (한국 남자 군인 기능성 방한복 내피 개발을 위한 실태 및 만족도 조사)

  • Kim, Youn Joo;Kim, Seonyoung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.5
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    • pp.910-926
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    • 2022
  • Suitability for the human body, freedom to move and thermal insulation are important design considerations in military clothing. This study investigates the performance and wearer-satisfaction of the functional inner winter uniform currently used in Korea; it is hoped that our data can inform the development of a future version. Interviews were conducted, in which the participants suggested various improvements. The uniforms were mainly worn for guard duty or as daily attire in cold weather. The participants chose how many layers to wear according to the current situation, rather than sticking to the layering recommended in the manual. Layering choices did not significantly affect combat efficiency but were found to affect wearers' comfort. Wearers' satisfaction was found to depend on the convenience of the clothing, whether it was in the appropriate size, freedom to move and thermal insulation. Also, this study suggests a problem with the current size system, as the analysis of size distribution, across all sizes, the range of current production is insufficient to cover the demand.

Prediction of Customer Satisfaction Using RFE-SHAP Feature Selection Method (RFE-SHAP을 활용한 온라인 리뷰를 통한 고객 만족도 예측)

  • Olga Chernyaeva;Taeho Hong
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.325-345
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    • 2023
  • In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.