• Fiber Technology and Industry
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• v.2 no.4
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• pp.439-450
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• 1998

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.121-133
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.5
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• pp.505-516
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• 2003

The purpose of this study was to develop the measurement of fashion sensibility and to verify the validity and utility. The survey has been done 91 photos selected in fashion magazines with 25 semantic differential hi-polar scale. The obtained data were analyzed by MDS, Discriminant analysis and Regression analysis. The major findings of this research were as follows. 1. According to the sensibility positioning, fashion image was classified by 4 group and agreed with constructing factors of fashion. 2. As result of the discrimination analysis, distinguishable fashion sensibility among design elements of clothing was related to refined, pleasant, feel like buying sensibility. 3. As result of the regression analysis, Preference was related to looking good, refined, and sweet, Buying needs related to likable, looking good and natural, Riches related to elegant, neat and refined, Pleasure related to looking good, elegant and bright. 4. The fashion design properties were different regarding Preference, Buying needs. Riches and Pleasure. Preference and Buying needs were related to H-line, similarity color combination, cotton and linen, Riches related to brilliance texture, ruffle and flounces, Pleasure related to fit and sexy design of clothing.

• Science of Emotion and Sensibility
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• v.8 no.2
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• pp.117-128
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• 2005

The purpose of this study was to clarify the effects of constituent characteristics and the mechanical properties by KES-FB system on the visual texture images and preference of men's suit fabrics. Twenty different kinds of black fabrics, which were used mainly for the spring and summer men's suits, were selected and the subjective evaluation of the visual texture images was tested. Sixty experts in department of clothing and apparel industries participated in the subjective evaluation. Factor analysis showed visual texture images were classified into 4 categories : 'bulkiness', $'extensibility{\cdot}rapability'$, 'flexibility' and 'smoothness'. All of relationships were established between the mechanical properties and the visual texture images except the relation between 'flexibility' and bending properties. The significant factors affecting preference were 'smoothness', compression energy(WC), fabric count and 'flexibility', As the fabrics had higher value for 'smoothness' and 'flexibility' , and lower ones for compression energy and fabric count, they tended to be more preferred.

• Science of Emotion and Sensibility
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• v.5 no.3
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• pp.11-20
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• 2002

There are Two new models developed for objective evaluation of fabric color patterns by applying a multiple regression analysis and an adaptive foray-rule-based system. The physical features of fabric color patterns are extracted through digital image processing and the emotional features are collected based on the psychological experiments of Soen[3, 4]. The principle physical features are hue, saturation, intensity and the texture of color patterns. The emotional features arc represented thirteen pairs of adverse adjectives. The multiple regression analyses and the adaptive fuzzy system are used as a tool to analyze the relations between physical and emotional features. As a result, both of the proposed models show competent performance for the approximation and the similar linguistic interpretation to the Soen's psychological experiments.

• Science of Emotion and Sensibility
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• v.2 no.1
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• pp.105-111
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• 1999

In order to introduce the touch to engineering and industries, it must be preceded to dstablish a quantitative barometer of the feeling. for this purpose, we developed a tactile measuring system to measure physical properties of texture, such as surface roughness, friction coefficient and compliance. The tactile measuring system uses a LASER type displacement sensor, which is a non-contacting system, in measuring the surface roughness. By considering that human tactile system is a contacting mechanism, this non-contacting method needs to be modified. As a precedent research of that, we compared the contacting and non-contacting method in this paper. Surface roughness of ten cloths were measured by using the measuring system, then compared to the test results using the Kawabata evaluation system(KES), which uses a contacting method in measuring the surface roughness.

• Korean Institute of Interior Design Journal
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• v.19 no.4
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• pp.3-10
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• 2010

The purpose of this study is to select and analyze words that represent various emotional states towards a spatial environment. Selecting appropriate words for the sensibility evaluation of a spatial environment is a process of constructing sensibility indicators, so that an accurate selection of sensibility words is very important. To collect basic words for this study, words for expressing sensation, emotional states, and sensibility regarding a spatial environment have been collected first via free association and a literature review of previous studies. In the second stage, the selected words are refined. Fifteen evaluators have participated in the first process of refining words, 140 college students participated in the second process, and than the final list of 277 refined words has been selected. During the third stage, 15 specialists were asked to evaluate the appropriateness of sensibility evaluation words, for that 7 point-scale has been applied. Then, 99 words with an average point of 4.55 or more and a standard deviation of 1.55 or lower were selected. After investigating the similarity in the meanings of the selected words, 55 pairs of contrasting words have been selected as a final list of sensibility evaluation words. During this last stage, 307 college students majoring in related fields were asked to evaluate the appropriateness of sensibility evaluation words for a spatial environment, and 7 point-scale was obtained. A factor analysis, cluster analysis, and multidimensional analysis have been conducted on the data obtained from these survey. According to the results of the factor analysis, the eight important factors are obtained from the sensibility evaluation criteria of a spatial environment(form, texture, function, value, comfort, aesthetics, atmosphere, and affinity). The factors obtained from this study can be used in the beginning stage of evaluating the sensibility factors of a spatial environment. In addition, the results of this study can be used as basic data when constructing a list of evaluation indicators to select various complex sensibility words for a space; or as general indicators when evaluating various spatial design factors.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.733-744
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• 2008

In this research, we investigated the university students' consciousness and preference for the jacquard fabrics and developed the evaluation scale of the sensibility of jacquard fabrics appied by Korean traditional motives. 23 jacquard fabrics were assessed subjectively by 466 consumers using the 7-point scale of 23 descriptors of texture sensibility and 50 descriptors image sensibility. The percentage of students who were interested in jacquard fabrics was similar as that of students who were uninterested. 75.3% of students were shown to think that it was necessary to apply Korean traditional motives to the jacquard fabrics. Through cluster analysis, the hierarchy of the image sensibility was examined. The tactile sensibility of jacquard fabrics were classified into 9 sub-clusters, image sensibility of them were classified into 14 sub-clusters. The dimensions evaluating the image sensibility of jacquard fabrics were developed using multi-dimensional scaling method. A 3-dimensions and 6-axes system were determined, which consisted of 'classic-modern', 'splendid-plain', 'abstract-realistic'. It was shown that preference of jacquard fabrics was increased, as image sensibility such as 'various', 'gorgeouse', 'beautiful', 'mild', 'dim', 'traditional', 'orderly', 'comfortable', 'dignified', 'abundant', 'fantastic', and 'vague' were increased and those such as 'intense', 'old', 'stuffy', 'exotic' and 'static' were decreased.

• Science of Emotion and Sensibility
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• v.7 no.4
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• pp.57-65
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• 2004

In this paper, we present a hybrid approach which incorporates color, texture and shape in content-based image retrieval. Colors in each image are clustered into a small number of representative colors. The feature descriptor consists of the representative colors and their percentages in the image. A similarity measure similar to the cumulative color histogram distance measure is defined for this descriptor. The co-occurrence matrix as a statistical method is used for texture analysis. An optimal set of five statistical functions are extracted from the co-occurrence matrix of each image, in order to render the feature vector for eachimage maximally informative. The edge information captured within edge histograms is extracted after a pre-processing phase that performs color transformation, quantization, and filtering. The features where thus extracted and stored within feature vectors and were later compared with an intersection-based method. The content-based retrieval system is tested to be effective in terms of retrieval and scalability through experimental results and precision-recall analysis.

• The Research Journal of the Costume Culture
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• v.12 no.5
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• pp.702-706
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• 2004

Sensorial tests were executed to find the sensibility and texture of the fabrics. The physiological responses employed in this study was electroencephalogram(EEG). The purpose of this study is to find out how the sample groups responded to the texture of the woven silks and the woven ramie. The sample groups are of 10 males and females, age of 25. EEG was recorded a fast and slow alpha wave according to the texture of the textiles. The sample fabrics are of woven silk and woven ramie. The results obtained as be lows. When the sample groups touched the woven silk, they responded and showed more slow alpha wave than the woven ramie. The slow alpha wave raised when the sample groups felt comfort and relax. The fast alpha wave were more in the woven ramie, it raised when the people felt the tension and the anxiety. There was no significant difference between the male and the female. Woven silk has the soft and smoothness it causes comfort. The sensation of tactile was recorded through the EEG.