• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.16-21
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• 1997

인간은 접촉을 통해 여러 가지 정보를 받아들이고 있으며 피부와 물체표면과의 접촉에 의한 느낌은 인간의 감성을 유발하는 중요한 요소이다. 이와 같은 질감에 대한 느낌을 측정하여 객관적인 값으로 표현된다면 의류, 종이, 자동차등 대부분의 산업분야에서 제풀을 디자인하는데 응용이 가능할 것이다. 인간이 촉감을 느낄 때의 Mechanism과 촉감에 가장 큰 관계를 가지는 마찰력에 대해 조사하여, 이를 응용한 표면 특성 측정장치를 설계 제작하였다. 또한 인간이 제품의 표면질감을 느낄 때의 주관적인 표현을 직물을 대상으로 하여 설문조사를 통해 대표형용사로 표현하도록 하였다. 이러한 주관적인 질감 표현과 같은 직물을 표면 특성 측정장치를 이용하여 얻어낸 측정값과 상관관계를 조사하여 질감의 객관적인 표현을 연구하는데 이용하였다.

• Proceedings of the Korean Fiber Society Conference
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• 1998.04a
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• pp.274-279
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• 1998

주관적인 질감을 표현하는 형용사는 매끄럽기-껄끄럽기, 편편하기-우둘두둘하기, 부드럽기-뻣뻣하기, 폭신하기-딱딱하기로 4개의 상반된 쌍으로 정리 분류할 수 있었다. 직물을 7점 척도에 의해 표현되는 질감을 조사하고, 동일직물의 마찰계수, 표면 거칠기, 마찰력, 밀도, 중량, 두께 등의 역학적, 물리적 값을 객관적으로 측정한 후 상호 상관관계를 구하고 Fuzzy 이론을 이용하여 객관적 등급을 예측하는 모델을 확립하였다.(중략)

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.167-168
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• 2009

본 연구는 면 편성물의 washing 을 통해 주관적인 질감과 선호도와의 관련성을 총체적으로 파악하여 소비자의 감각과 선호도를 예측하고, 그 결과를 고부가가치 면 소재 개발에 필요한 자료를 제공하는 것이다. 이를 위하여 면 소재의 질감을 나타내는 형용사에는 어떤 것이 있으며, 이러한 감각들은 어떻게 분류될 수 있는지를 알아보고, 면 편성물의 감각구조를 통해 촉감과 선호도를 예측해 보았다. washing 방법을 달리한 면편성물 5종을 대상으로 washing 처리를 한 면편성물의 다양한 질감에 대한 감각을 규명하고자 감각형용사에 대하여 요인 분석과 상관분석을 실시하고, 설문조사를 통하여 주관적인 감각과 촉감 및 선호도를 살펴봄으로써, 면편성물의 활용도를 모색하였다.

• Proceedings of KHEA Conference
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• 2004.04a
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• pp.150-150
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• 2004

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.1 s.149
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• pp.83-93
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• 2006

The purpose of this study is to analyze the relationship among subjective textures, sensibilities and objective handle of knit fabrics and to provide useful information in planning and designing knit fabrics. We made 20 plain knit fabrics, as specimens, with a combination of 5 kinds of wool/rayon fiber contents and 4 kinds of stitch loop length. For the subjective evaluation, we used 29 questions of subjective textures and sensibilities and employed statistical analysis tools such as factor, Pearson's correlation analysis. An objective handle was measured by Kawabata evaluation system and HV and THV was calculated by KN-402-KT and KN-301-winter. The analysis of a Pearson's correlation with objective properties and handles and structural properties of knit fabrics demonstrated a highly linear relationship. Especially, wool/rayon contents and WT of tensile properties and loop stitch length and G of shear properties showed a correlation coefficient over 0.9. But a relationship of objective properties and subjective textures and sensibilities was non-linear and a linear multi-regression analysis showed that a objective handle had a lower prediction power in the area of subjective textures and sensibilities.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.11
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• pp.1516-1523
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• 2004

The purpose of this study were to analyze the effect of weft knit structural characteristics on the subjective texture and sensibility. For this, the material was knitted into 8 kinds of weft plain knit fabrics with four kinds of fiber components such as wool, acryl, rayon, and nylon, 3 steps of densities and 3 steps of twist numbers to ply two yarns. The data were analyzed by factor analysis, ANOVA and multidimensional scaling. From factor analysis, subjective textures were categorized as 'bulk/resilience', 'surface/density' and 'soft/drape', and subjective sensibilities were categorized as 'natural/comfortable', 'feminine/elegance' and 'stable/neat' Among the knit structural characteristics, the component of fibers and the density of fabrics were the important factors to give variations in texture and sensibility : In comparison with wool knit of medium density, the knit fabrics of other components and different densities each showed a unique texture and sensibility. But twist number to ply two yams had a few influence on subjective properties. As a result of MDS analysis, the texture and sensibility of plain weft knit fabrics was classified as 'thin-full', 'hard-soft', 'young-old' and 'warm-cool'.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.800-807
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• 2008

The purpose of this study is to compare the subjective texture of actual objects and their picture images on the Internet to find out a method to present visual images in order to supply information similar real objects. For this study, seven knit fabrics and four presentation methods of visual images including twice magnifications and two dimensions of 2D and 3D. The results of this study were as follows: There are significant differences among subjective textures evaluated by touching seven fabrics actually and we can verify the effects of fiber contents and loop length of knit on textures. We can find out differences of texture depending on presentation methods. In case of 2D evaluation of knits fabrics, visual images of real size present a little exact information on roughness and heaviness whereas those of twice magnification do roughness, wetness, softness and luster. And 3D images give us more exact information of textures on softness, heaviness and warmness, but rather twice enlarged 3D image can't supply an information of heaviness texture.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.8 s.145
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• pp.1158-1167
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• 2005

The purpose of this study is to examine the effect of structural properties of plain knit fabrics on the subjective textures and sensibilities of consumers. We investigated the relationship of subjective textures and sensibilities according to fiber contents of wool/rayon and stitch loop length. We made 20 plain knit fabrics, as specimens, with a combination of 5 kinds of fiber contents and 4 kinds of stitch loop length. A factor analysis showed that subjective textures are classified into 3 categories with $R^2=70.32\%$: 'surface-rough', 'drapable', 'bulky' and 'elastic' and subjective sensibilities into 3 categories with $R^2=68.12\%$: 'stable/neat', 'feminine/elegant' and 'natural/comfortable'. The fiber contents of wool/rayon had a positive and linear relation with 'surface-rough', but had a relatively non-linear one with 'bulky' and 'elastic' categories of textures, and 'feminine/elegant' of sensibilities. The stitch loop length had a linear influence on 'drapable' and 'stable/neat', but had a non-linear influence on other subjective textures and sensibilities.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.7
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• pp.1128-1138
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• 2007

The purpose of this study is to develop the relationship model among subjective texture and preference of weft knit according to fiber contents of wool/rayon and loop length by integrating previous research work. SPSS and SEM method using AMOS program were used to analyze data which used to correlation matrix to be standardized. The texture of weft knit were classified into 4 categories: irregularity, flexibility, bulkiness, extensibility. The fiber contents of wool/rayon had effect positively on irregularity, bulkiness and extensibility and that had little effect on preference. The loop length had effect positively on irregularity, flexibility and extensibility and that had effect negatively on preference. This measurement model will be input for testing causal research model that can explain how fiber contents of wool/rayon and loop length of weft knit influence on subjective texture.