• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.2
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• pp.315-324
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• 2002

The purpose of this study was to fed out the effects of sensibility elements and screen composition elements on purchase intention on the internet fashion shopping mall. A total of 200 responses were collected from a Questionnaire survey. The sensibility words were used for sensibility elements analysis. Screen composition elements were divided into 5 factors by factor analysis; product property, convenience of shopping, service, design, and promotion. The study showed that the satisfaction of sensibility elements and screen composition elements led to a positive purchase intention.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.9
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• pp.1407-1417
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• 2008

This study intended to compare the effects of fashion emotional and relationship experience of middle and old aged women on their long-term relationship orientation. The survey was conducted in September and October in 2006 on 579 middle old aged women whose age varied from 40 to 70 years old, who lived in Seoul and the metropolitan area and had experienced fashion shopping. The SPSS 12.0 was used to do an analysis of frequency, an exploratory factor analysis, and a multi-regression analysis and Lisrel 8.14 was applied to make a path analysis. The result of this study was as follows: Comparing the two age groups, the most important fact was that fashion related experience had more affective on long-term relationship orientation for old aged than middle aged women. Secondly, the effects of fashion emotional experience of middle and old aged women affected the long-term relationship orientation were the same. This analysis suggested that intensive marketing strategy effort of emotional experience for middle aged women and relational experience for old aged women should be more effective in fashion market.

• 한국생활과학회:학술대회논문집
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• 2008.05a
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• pp.133-134
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• 2008

• Journal of Fashion Business
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• v.26 no.1
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• pp.1-15
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• 2022

Digital transformation has induced changes in human life patterns; consumption patterns are also changing to digitalization. Entering the era of industry 4.0 with the 4th industrial revolution, it is important to pay attention to a new paradigm in the fashion industry, the shift from developer-centered to user-centered in the era of the 3rd industrial revolution. The meaning of storing users' changing life and consumption patterns and analyzing stored big data are linked to consumer sentiment. It is more valuable to read emotions, then develop and distribute products based on them, rather than developer-centered processes that previously started in the fashion market. An AI(Artificial Intelligence) deep learning algorithm that analyzes user emotion big data from user experience(UX) to emotion and uses the analyzed data as a source has become possible. By combining AI technology, the fashion industry can develop various new products and technologies that meet the functional and emotional aspects required by consumers and expect a sustainable user experience structure. This study analyzes clear and useful user experience in the fashion industry to derive the characteristics of AI algorithms that combine emotions and technologies reflecting users' needs and proposes methods that can be used in the fashion industry. The purpose of the study is to utilize information analysis using big data and AI algorithms so that structures that can interact with users and developers can lead to a sustainable ecosystem. Ultimately, it is meaningful to identify the direction of the optimized fashion industry through user experienced emotional fashion technology algorithms.

• Archives of design research
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• v.19 no.4 s.66
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• pp.91-100
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• 2006

The contemporary consumer's fashion retail shops are becoming diverse in function and sensitivity while keeping in mind the effects of consumer's lifestyles according to changing fashions. Recently, external changes and expressive characteristics have become symbolic in retail fashion shops. This reinforces the importance of the skin, which is becoming image-sensitive and increasingly important. Therefore, this thesis will study the relationship between expressive tendency and skin in fashion retail shops by distinguishing the characteristics of a skin historically as well by categorizing the four brands from flagship stores which have introduced brand identity and an exceptional expressiveness of skin into types of form and space.

• Science of Emotion and Sensibility
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• v.17 no.2
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• pp.123-134
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• 2014

Sensibilities to the clothing components such as style and color tone of fashion product are considered important to the consumers in fashion industry today. So the combinational study of clothing sensibility and proper end-use style are needed to improve the product refinements in developing process through scientific research method. The purpose of this study is to measure the sensibilities of the blouse type as a clothing component for it is a representative garment of women and to look for the best matching color tone according to blouse type. We surveyed the questionnaire to two hundred college students and found that there was a meaningful relational consistency between blouse type and color tone. Blouses have been told the best if they are of Bright color tone. They preferred Shirt blouse type and Bright color tone best of all. They are fond of Vivid color tone but they think Vivid tone is not so proper to the blouses. Each blouse has 1~2 best-fit color tones, and color sensibility affect the harmony of blouse style and color tone. The sensibilities of blouse type and color tone are deeply correlated each other regardless of subject's major or gender except a few cases.

• Journal of the Korea Convergence Society
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• v.8 no.4
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• pp.1-8
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• 2017

In the modern society, the size of the fashion market is continuously increasing both overseas and domestic. When purchasing a product through e-commerce, the evaluation data for the product created by other consumers has an effect on the consumer's decision to purchase the product. By analysing the consumer's evaluation data on the product the company can reflect consumer's opinion which can leads to positive affect of performance to company. In this paper, we propose a method to construct a model to analyze user's sentiment using word embedding space formed by learning review data of amazon fashion products. Experiments were conducted by learning three SVM classifiers according to the number of positive and negative review data using the formed word embedding space which is formed by learning 5.7 million Amazon review data.. Experimental results showed the highest accuracy of 88.0% when learning SVM classifier using 50,000 positive review data and 50,000 negative review data.

• Proceedings of the Costume Culture Conference
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• 2004.04a
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• pp.72-74
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• 2004

현대 디자인 분야에는 건축이나 제품, 의복 등에까지 투명성이 디자인의 매우 중요한 요소로 활용되고 있다. 아름다우면서도 기능성과 견고함을 지닌 투명한 재료들이 과학기술의 발달에 힘입어 속속 개발되고 있으며, 또한 투명성 디자인은 현대 디자인의 트랜드인 즐거움과 유희 등을 표현하는 감성 트랜드와 잘 부합되기 때문이다. 본 연구는 이러한 시대의 흐름에 발맞추어 사용자들에게 재미와 즐거움의 가치를 감각적인 부분과 통합할 수 있는 디자인 개발에 목적을 두고, 20세기 후반부터 트랜드의 커다란 부분을 차지하고 있는 투명성을 좀 더 재미있고 여성스러운 감성을 자극할 수 있는 새로운 재해석의 방향을 찾아 패션 디자인을 제안하고자 한다. (중략)

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.3-12
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• 2017

This research was carried out in order to suggest useful data for planning fabrics of summer eco-friendly fashion products. For this purpose, four cellulose fabrics were dyed with natural indigo under three different dyeing conditions, then, their colorimetric properties and color sensibilities were evaluated, and their influences on color preferences were analyzed. All cellulose fabrics naturally dyed with indigo showed the characteristics of PB color tones, middle and low value, and low chroma. Color characteristics were significantly different according to fiber type and dyeing condition. The color sensibilities of the fabrics dyed with indigo were classified into three factors: sporty, classic and natural. These sensibilities showed partially significant differences according to fiber type and dyeing condition. Also, there were partially significant relationships between color characteristics and the color sensibilities of the fabrics dyed with indigo. The color preferences of the dyed fabrics with indigo were found to be influenced by the sporty and classic of color sensibility and $L^*$ of color characteristics.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.55-66
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• 2016

This study was aimed to characterize the color of cotton fabric dyed with three different natural resources such as persimmon, citrus, and brown algae and to propose new trend color themes for fashion color planning for newborn and toddler wear. A variety of color shades by dyeing cotton fabric with persimmon, citrus, and brown algae respectively was obtained and each color was also determined if it could be matched with one of Pantone TPX considering authorized color trends for 2016 Spring/Summer. Finally a group of new trend color theme for 2016S/S newborn and toddler wear were proposed for naturally dyed cotton fabric. As results, the three natural dyeing resources gave color gamut with hue ranging from Purple Blue to Green Yellow and with tones including pale, light grayish, soft, grayish, and dull by their single and compound dyeing. A total of 23 colors matched to Pantone TPX were considered for the fashion color planning by natural dyeing. The selected natural colors were grouped as three different color ways and thereafter the color ways were differentiated in terms of representative color sensibility by using subjective evaluation. Finally three characterized color themes were proposed as 'Serenity', 'Juicy', and 'Fancy', each of which has tried to express differentiated feeling of each natural resources for dyeing, to follow up to global color trends, and to contribute to newborn and toddler wear's own requirements and marketability. These results suggest that natural dyeing colors could be applied into fashion color planning in current fashion industries in order to produce more sensible and emotional design of fashion goods using natural dyeing.