• Title/Summary/Keyword: Athleisure

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A study on the User Experience of Athleisure Brand Communities by Generation (애슬레저 브랜드 커뮤니티의 세대별 사용자 경험 연구)

  • Na, Hye Sook;KIm, Seung-In
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.397-402
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    • 2021
  • The purpose of this study is to measure the satisfaction level of user experience of athlesure brand community by generation through surveys, and to derive satisfaction level according to consumption taste by generation. As a tool for measuring brand community, a questionnaire written Creating Pleasurable Interfaces Model of Stephen P. Anderson was used and was conducted focusing on women in their 10s-40s, which are the main consumers. As a result of the survey, the community participation rate and satisfaction level are significantly different depending on the consumption tendency of each generation. In addition, focused on task satisfaction was high, but focused on experience satisfaction was relatively low. It was found that there is a need for a plan to improve satisfaction based on experience for revitalization of online and offline communities in the future. Through this study, we expect the use of consumer-centered brand communities and brand communities according to the satisfaction level of consumption demand by generation and consumption preference by demand.

A Study on Leggings for Athletic Leisure (애슬레저용 레깅스에 관한 연구)

  • Cha, Su-Joung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.323-324
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    • 2021
  • 본 연구는 애슬레저 레깅스의 주 소비층인 20대 여성의 체형에 적합한 레깅스 패턴을 개발하기 위한 선행연구로, 20대 대학생을 대상으로 레깅스의 착용실태를 알아보고 애슬레저 레깅스의 선호도를 파악하고자 하였다. 본 연구는 20대 여대생 189명을 대상으로 하였으며, 구글 설문지를 통해 조사하였다. 분석은 SPSS 26.0 프로그램을 활용하였다. 레깅스는 운동용으로 착용하고 검은색의 발목까지 오는 밀착되는 기본 레깅스 디자인에 대한 선호가 높았으며, Y존 부위에 대한 불편함을 호소하는 경우가 많았다. 동작 시에는 허리가 노출되는 것에 대한 불편함을 호소하는 경우가 많았다. 선호 브랜드는 아디다스가 가장 많았고 레깅스에 몸매 보정 기능이 추가되기를 원하였다. 선호하는 브랜드를 구매했을 경우 디자인, 치수, 소재, 활동성, 내구성 등 대부분 항목에서 만족도가 높았다. 원단을 고려하여 레깅스를 구매한 경우에는 봉제상태에 대한 만족도가 높고, 브랜드를 고려하여 구매한 경우 가격에 대한 만족도가 높은 것으로 나타났다. 본 연구의 결과를 일반화시키는 데 주의하여야 하며, 향후 연구에서는 좀 더 포괄적인 연령대와 남성에 대한 조사가 이루어져야 할 것으로 생각된다.

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Survey of the Present Situation of the Production of Tight Fit Women's Sportswear Top Products (타이트 핏 여성 스포츠 상의 제품 생산현황조사)

  • Jun, Mi-Hwa;Jang, Jeong-Ah
    • Fashion & Textile Research Journal
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    • v.20 no.5
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    • pp.583-591
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    • 2018
  • This study investigated the current production of women's sportswear tights among a total of 813 yoga, gym and training tights on the market to provide basic data for the development of women's sportswear tight tops. The results found the following: First, according to the analysis of women's sportswear tight tops by brand, polyester, nylon and polyurethane were most used. In addition, elastic, breathable and quick-dry, sweat absorbent products were commonly found. In terms of design, crew neck and sleeveless styles were popular. In addition, mesh was frequently applied to the top of the chest and upper part of the back. The size was mostly marked in S, M and L, and the size range was very large by brand. For color, achromatic color was most common. In terms of price, 'KRW 50,000-100,000' was frequently found. Second, yoga tights were compared to gym & training wear. In the case of yoga tights, elastic, various products in diverse design (e.g., crew neck, sleeveless, long sleeve, etc.) and colors (e.g., red, black, etc.) made of breathable and water-absorbing fabric were most produced. In particular, a combination of mesh materials was common. In gym and training wear, crew neck and short-sleeve styles in achromatic color made of elastic, breathable and quick-dry, seat absorbing fabric were most produced.

A survey on the leggings wearing condition of down-aging women in their 30s and 40s (다운에이징 30-40대 여성의 레깅스 착용실태조사)

  • Eun Kyong Kim
    • Journal of the Korea Fashion and Costume Design Association
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    • v.24 no.4
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    • pp.41-56
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    • 2022
  • This study aims to investigate the actual condition of wearing leggings and the preferred design of down-aging women in their 30s and 40s who have young sensibility, but are starting to enter a middle-aged body type. By analyzing the problems experienced when wearing leggings in this age group, this study intends to provide basic data for the development of a middle-aged female leggings pattern with an improved fit. Therefore, a survey was conducted on 214 women in their 30s and 40s. The results of the survey are as follows. Among down-aging women who want to look younger, leggings are becoming an essential item, but most leggings brands are producing leggings with patterns suitable for women in their 20s. The results of this study also showed that down-aging women in their 30s and 40s mainly purchase and prefer body-fitting leggings. However, they are experiencing discomfort due to 'Y-zone accentuate', 'undergarment accentuate', 'cloth stucking', and 'waist band curling and tightening'. The results indicate that women in their 30s and 40s, who are starting to change to a middle-aged body type, have fit problems. Women in their 20s generally prefer functions that improve the body line, while those in their 30s and 40s prefer functions that improve movement and cover problems caused by the abdomen and the Y-zone area. Therefore, when designing leggings for down-aging women in their 30s and 40s, based on body-fitting leggings, a material with excellent elasticity must be selected. Also develop patterns that solves 'Y-zone accentuate', 'undergarment accentuate', 'cloth stucking', and 'waist band curling and tightening' problems.

The Analysis of Fashion Trend Cycle using Big Data (패션 트렌드의 주기적 순환성에 관한 빅데이터 융합 분석)

  • Kim, Ki-Hyun;Byun, Hae-Won
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.113-123
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    • 2020
  • In this paper, big data analysis was conducted for past and present fashion trends and fashion cycle. We focused on daily look for ordinary people instead of the fashion professionals and fashion show. Using the social matrix tool, Textom, we performed frequency analysis, N-gram analysis, network analysis and structural equivalence analysis on the big data containing fashion trends and cycles. The results are as follows. First, this study extracted the major key words related to fashion trends for the daily look from the past(1980s, 1990s) and the present(2019 and 2020). Second, the frequence analysis and N-gram analysis showed that the fashion cycle has shorten to 30-40 years. Third, the structural equivalence analysis found the four representative clusters. The past four clusters are jean, retro codi, athleisure look, celebrity retro and the present clusters are retro, newtro, lady chic, retro futurism. Fourth, through the network analysis and N-gram analysis, it turned out that the past fashion is reproduced and evolves to the current fashion with certain reasoning.