• The International Journal of Costume Culture
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• 제5권1호
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• pp.58-66
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• 2002

The objectives of this study are to develope sensibility image scales for Korean traditional motifs by quantitatively measuring their images and preference and to classify them into clusters. Data were collected via a questionnaire from seven hundred twenty five Korean undergraduate students. Re experimental materials were forty eight stimuli of Korean traditional motifs with different categories, interpretation types, composition types, and application objects. The instruments consisted of 7-point polar semantic differential scales of twenty three bipolar adjectives including preference. Data were analyzed by correspondence analysis, cluster analysis, ANOVA and Duncan's multiple range test. Re major results are as follows; image scales for textile patterns and dress designs using Korean traditional motifs were constructed. The axes of sensibility image scales for both textile patterns and dress designs were defined by quality level and degree of simplicity. Second, four clusters on the scale of textile patterns and two clusters on the scale dress designs were identified. Third, in the case of textile Patterns, the preferred cluster had high-quality and classical images, while the cluster that was not preferred had a complex image. In the case of dress designs, the preferred cluster had simple and high-quality images, while the cluster that was not preferred had complex and low-quality images.

• 복식문화연구
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• 제25권1호
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• pp.64-74
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• 2017

The purpose of this study is to identify the sensibility images when the direction and width of stripes change on semi-tight skirts. The researcher made 12 stimuli consisting of images of skirts with a combination of six stripe directions and two stripe widths. The images were assessed by 126 subjects who were students majoring in apparel. Three sensibility image factors were found: personality, attractiveness, and activity. Images of skirts with different stripe directions were perceived as having significant differences among these factors. Stripe widths of 1.5cm and 3cm in upward diagonal, vertical side line, and downward diagonal directions influenced the personality factor. Diagonal stripes with a width of 1.5cm positively influenced attractiveness and activity. Stripes in a vertical direction increased attractiveness when the stripe width was 1.5cm rather than 3cm. Although the interaction of stripe direction and width significantly influenced perceptions of attractiveness and activity in images of semi-tight skirts, they did not significantly influence personality. In accordance with the analysis, stripe direction was significantly different for all factors. This analysis indicated that each factor has its own independent influence. Stripe width had major independent effects, showing significance in attractiveness and activity. However, personality did not indicate any significant difference. The results of this study will help women select suitable clothing according to their individual preferences and body shapes by influencing how images are depicted because women will be able to use the images to estimate their body images when the skirts are put on.

• 한국생활과학회지
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• 제20권2호
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• pp.413-426
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference according to fiber blending ratio of men's suit fabrics. 110 subjects evaluated the texture image and preference of various fabrics. For statistical analysis, factor analysis, MDS, pearson correlation and ANOVA were used. The results were as follows: Sensory image factors of suit fabrics were 'smoothness', 'bulkiness', 'stiffness', 'elasticity', 'moistness' and 'weight sensation'. Sensibility image factors were 'classic', 'practical', 'characteristic' and 'sophisticated'. 'Bulkiness' and 'elasticity' sensory images showed high correlations with sensibility images. Fabrics with high wool blending ratio showed as 'classic' and 'sophisticated', 'bulkiness' and 'elasticity' texture images and fabrics with low wool blending ratio showed texture images of 'characteristic', 'surface character', 'stiffness', 'moistness' and 'weight sensation'. Wool fiber blending ratio affected on the purchase preference and tactile preference. Using regression analysis, it was shown that sensibility images had more of an effect on preference than sensory images. The thickness and pattern type showed positive effects and fiber blending ratio showed negative effects on the preference.

• 한국생활과학회지
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• 제13권6호
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• pp.997-1005
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• 2004

The purpose of this research is to measure the sensibility and preference of American consumers for domestically-manufactured cotton fabrics through 7-points scale questionnaires and the 4-dimensions and 8-axes system. The key words included such images as masculine-feminine, new-old, casual-classic, and ambiguous-orderly. The images of cotton fabrics were classified through a cluster analysis. This research also included an investigation of relationship between sensibilities for cotton fabrics and their physical characteristics. The sensibilities of cotton fabrics were classified into 4 groups: 'feminine sensibility,' 'masculine sensibility,' 'new sensibility,' and 'casual sensibility.' This result represents that American consumers' sensibility is simpler than Koreans'. The order of preference was 'feminine sensibility', 'masculine sensibility', 'new sensibility', and 'casual sensibility.' The sensibilities of cotton fabrics were explained significantly by stiffness, weight, weft density, value, and chroma. Specifically, those were more influenced by color characteristics such as value, chroma, and hue than by physical characteristics. We should be able to tell a difference in the reaction of a trading country's consumers and domestic consumers to domestically-manufactured cotton fabrics through comparing this research with the previous work(Shin & Lee, 2002). Additionally, we will be able to establish a basic strategy for successfully advancing Korean fabrics into the American domestic textile industry. In this way we can expect to increase the competitive power of our domestic clothes brands.

• 대한인간공학회지
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• 제26권3호
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• pp.81-89
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• 2007

The purpose of this study is to develop data base and interface for sofa consumers and sofa designers. The human sensibility ergonomics method was used to find the consumer needs and Quality Function Deployment (QFD) method was used to extract the designing characteristics required for sofa production. About 200 words and 100 images were gathered from sofa and furniture related catalogs and internet sites to find the best emotional words and images that can express the various sofa aspect. Among the collected words and images, 34 emotional words were selected for sensibility experiment according to the opinions of experts, relations of closeness and frequency of use, and 50 images were selected for the experiment by the diversity. Selected words and images were used for the semantic differential method with 94 subjects, and sensibility characteristics of sofas were defined through various statistical analysis methods including basic statistical analysis, factor analysis and multi-dimensional scale. In reflecting design characteristics of sofas, design factors of sofas were divided into backrest, seat, armrest, neck support and leg, and relative importance of each factor for design was determined with analytic hierarchy process (AHP) by utilizing the experts' opinions. Based on the results above, relationship analysis between emotional evaluation results and design factors was performed. Also, as various sofa images are presented diagrammatically through multidimensional scaling method, it can be used as an important tool for the development of sofa design. This study will contribute improving the product quality of sofas as it enables applying consumer needs into the sofa design.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2011년도 춘계학술대회
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• pp.43-44
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• 2011

• 한국의상디자인학회지
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• 제3권1호
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• pp.47-55
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• 2001

The Human Sensibility Measurement Technology, the engineering discipline that translate the imagination and good impression of human being into a physical factor for relevant product, is important to improve the quality of industrial products. This dissertation is aimed at measuring and evaluating the human sensibility for texture I presented the image scale in expectation of applying it to the production and choice of goods fitting into one's sensibility and to the coordination of goods which have similar images.

• 한국의류학회지
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• 제25권5호
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• pp.845-855
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• 2001

Now the most important thing in fashion industry is find out the fashion sensibility and preference of customers exactly. Thus it is needed that fashion sensibility is connected with formative properties in clothing. The purpose of this study is to clarify the relationship between the fashion sensibility and the formative properties in clothing. 91 kinds of costume samples have been selected from photographs in fashion magazines under color combination, inside form, texture, pattern type in clothing. I have measured fashion sensibility by using Semantic Differential method. The obtained data were analyzed by GLM, discriminant analysis. The results of analysis are as follow; 1. The discriminative images were significant difference in formative properties - color combination was related to attractiveness, inner form to decorativeness, pattern to harmony and texture to surface of soft and hard in clothing. 2. fashion sensibility was significant relationship with formative properties especially inner form in clothing. And the trimming was identified as gorgeous and feminine. 3. Preference, Buying needs, Riches and Pleasant were significant relationship with formative properties in clothing especially color combination and texture.

• 한국생활과학회지
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• 제20권5호
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• pp.1025-1034
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• 2011

The purpose of this study was to examine the evaluation of fabric characteristics on the drapability, texture image and preference of blouse fabrics, and to analyze the effects of the texture image, objective and subjective drapability on the preference. As specimen, silk and polyester fabrics were collected. 52 female subjects evaluated 16 specimens with semantic differential scale of 18 fabric image and 20 sensibility. Data were analyzed through factor analysis, pearson correlational coefficient using spss win 12.0. For the evaluation, structural characteristics such as fiber contents, weave type, weight and thickness were analyzed. The results were as follows: The evaluation results of objective and subjective drapability showed differences. Sensory image factors of blouse fabrics were 'surface smoothness', 'elasticity', 'weight' and 'flexibility'. Sensibility image factors were 'elegance', 'classic', 'characteristic' and 'mannish'. 'Elegance', 'classic' and 'characteristic' of sensibility images showed high correlation with 'surface smoothness' and 'elasticity' of sensory image, also 'mannish' of sensibility image showed significant correlation with 'weight' of sensory image. The significant fabric characteristics affecting objective drapability were density, weight, thickness. The significant texture image factors affecting objective drapability were 'weight', 'flexibility' of sensory image and 'elegance' of sensibility image. On the other hand, the significant factors affecting subjective drapability were thickness of fabric characteristics and 'elegance', 'characteristic', 'mannish' of sensibility images. 'Elegance', 'characteristic' and 'classic' of sensibility image, 'elasticity' of sensory image and subjective drapability affected on the purchase preference.

• 한국의상디자인학회지
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• 제22권1호
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• pp.97-111
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• 2020

Classifying clothing fabrics into fashion images lacks research, but is necessary due to the short cycle of fashion and rapidly changing modern trends as consumers seek to satisfy various needs with an increase of online purchases. There is also a lack of research on fashion trend books which attach real fabrics. Therefore, this study aims to help the planning field by recognizing fabric sensibility related to the fabric image perceived by consumers. The data analysis results from descriptive statistics, t-test, and ANOVA using SPSS are as follows: Differences in the visual tactility evaluation related to the consumer recognized fabric images showed more significant differences in F/W seasons. The elegance image was shown as relatively thick, the avant-garde image was shown as relatively heavy, thick fabric. The feminine image was shown as relatively thin and smooth fabric, the sporty images were shown to be moist, flexible and elastic, and the mannish images were relatively rough. The romantic images were shown as relatively thin fabrics. The conclusions inferred from the visual tactile evaluation related to the fabric images recognized by consumers vary by major, so the prior information concerning fabrics and trends can affect the selection of images. The results of this study show that in order to produce clothes suitable for fashion product planning by learning about visual tactility that consumers recognize, fabrics component data displayed in fashion trend books from 2016 to 2018 are needed, so the planner can receive help when selecting the fabrics suitable for each trend.