• Title/Summary/Keyword: Subjective texture

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Effect of Weft Knit Structural Characteristics on the Subjective Texture and Sensibility (위편성물 소재의 구성특성이 주관적 질감 및 감성에 미치는 영향)

  • 주정아;유효선
    • 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'.

Effects of Fiber Contents and Loop Length of Weft Knit on Subjective Texture and Preference-Using SEM- (위편성물의 혼용률 및 편환장이 주관적 질감과 선호도에 미치는 영향 -구조방정식 이용-)

  • Roh, Eui-Kyung;Ryu, Hyo-Seon
    • 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.

The Comparison of Subjective Textures of Knit Fabric by Presentation Methods of Visual Images (니트소재의 영상정보 제시 방법에 따른 주관적 질감 비교)

  • Ju, Jeong-Ah
    • 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.

Structural Equation Model(SEM) for Constituent Characteristics, Texture, Sensibility and Preference of Fabric (Part 1) - Weight of F/W Women's Jacket Fabrics - (구조방정식을 이용한 소재의 구성특성, 질감 및 감성과 선호도간의 관계모형 (제1보) - 추동 여성 자켓용 소재의 무게 중심으로 -)

  • Roh, Eui-Kyung;Ryu, Hyo-Seon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.8
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    • pp.1240-1251
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    • 2007
  • The purpose of this study was to examine the relationship between weight of fabrics and texture and sensibility and preference of consumers for F/W women's jacket fabrics. Structural Equation Model(SEM) using AMOS program was conducted to analyze the relationships. Then, this study aimed to provide useful information in planning designing fabrics through predicting the subjective characteristics analyzed. The main survey was developed the 7-point semantic differential scale of subjective texture, sensibility and preference. Fifty trained female panelists of 20-30 years old were participated and questionnaire method was used with 20 kind of fabric. The evaluation methods such as by the sense of sight & touch were used when fabrics were estimated subjectively. When evaluated by the sense of sight & touch, fabric's weight did not have effect directly on preference, but had effect indirectly on preference through the texture and the sensibility..

Effect of the Drapability and the Texture Image on the Purchase Preference of Blouse Fabrics (블라우스용 소재의 드레이프성과 질감이미지가 구매선호도에 미치는 영향)

  • Kim, Yeo-Won;Pan, Hong-Yu;Na, Mi-Hee;Choi, Jong-Myoung
    • Korean Journal of Human Ecology
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    • v.20 no.5
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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.

A Study on the Surrealism Expressed in Fashion Illustrations (패션일러스트레이션에 나타난 초현실주의 표현에 관한 연구)

  • Kim Soo-Kyong
    • Journal of the Korea Fashion and Costume Design Association
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    • v.6 no.3
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    • pp.123-138
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    • 2004
  • The objective of this study is to review the expressive effect of fashion illustrations and to enlarge its expressive range by analysing the correlations between fashion illustrations and surrealistic expressive characteristics. The results are as follows. The surrealistic expressive methods of fashion illustration such as depaysement and automatism have been used by many foreign and domestic fashion illustrators. I think that these methods reinforce the subjective aspect of expressive effects and enlarge the transmitting function of fashion message. The elements of expression are divided into color, texture, shape/form and space. Subjective colors rather than natural colors are used for the surrealistic expressive effect of color in fashion illustrations, and illusion of space is expressed by the change of brightness. The surrealistic expressive effect in fashion illustrations distorted the experience of factual texture and disturbed the visual texture. The use of tactile texture presented strange effects perspectively. The objects of shape in fashion illustrations were mainly human body. The form of human body presents reconstituted and reinterpreted figure by transformation or distortion according to the intention of the artist rather than realistic and physical form. In fashion illustration, the transformation of the human body itself whose body parts get separated, superposition of exterior material and human body, and the distortion of human body by the change are done. Space is where background and shapes are inter-penetrated because they are ambiguous and untransparent, and where all are in disorder and unbalance. The method of projection uses distance perspective, multiple perspective and amplified perspective representation, and forms a psychological space feeling. And I think the use of surrealistic expressive methods are very useful for the subjective sensitiveness and the transmission of a fashion message, and presents a possibility to develop a new expressive method.

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Prediction Models for Color Emotion Factors by Visual Texture and Physical Color Properties of Printed Fabrics (직물의 시각적 질감 특성과 물리적 색채 성질에 의한 색채감성요인 예측모델)

  • Lee, An-Rye;Lee, Eun-Ju
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2009.11a
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    • pp.54-57
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    • 2009
  • This study was aimed to investigate the effects of visual texture on color emotion and to establish prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics were printed by digital printer according to hue and tone combinations. Subjective sensation was evaluated in terms of visual texture for fabrics printed in gray whereas color emotion for those in chromatically printed. As results, fabric clusters by visual texture showed significant differences in color emotion factors and the differences were clearer for grayish tone fabrics. Prediction models for color emotion factors by both physical color properties and visual texture clusters were proposed as for all fabrics and grayish ones, respectively.

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Visual Texture Image and Preference of Men's suit Fabrics (남성 수트소재의 시각적 질감 이미지와 선호도)

  • Ryu Hyo-seon;Roh Eui-Kyung
    • 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.

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Prediction Models for Fabric Color Emotion Factors by Visual Texture Characteristics and Physical Color Properties (직물의 시각적 질감특성과 물리적 색채성질에 의한 색채감성요인 예측모델)

  • Lee, An-Rye;Yi, Eun-Jou
    • Journal of the Korean Society of Clothing and Textiles
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    • v.34 no.9
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    • pp.1567-1580
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    • 2010
  • This study investigates the effects of visual texture on color emotion and establishes prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics including silk, cotton, and flax were colored by digital textile printing according to chromatic hue and tone combinations that are evaluated in terms of color emotion. Subjective visual texture ratings are also obtained for gray-colored same fabrics to those used in color emotion tests. As a result, fabric clusters by visual texture factors showed significant differences in color emotion factors that are primarily affected by physical color properties. Finally prediction models for color emotion factors by both physical color properties and visual texture clusters were established, which has a potential to be used to explain color emotion according to the visual texture characteristics of fabrics.

A Study on Subjective Assessment of Knit Fabric by ANFIS

  • Ju Jeong-Ah;Ryu Hyo-Seon
    • Fibers and Polymers
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    • v.7 no.2
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    • pp.203-212
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    • 2006
  • The purpose of this study was to examine the effects of the structural properties of plain knit fabrics on the subjective perception of textures, sensibilities, and preference among consumers. This study, then, aimed to provide useful information with respect to planning and designing knitted fabrics by predicting the subjective characteristics analyzed according to their structural properties. For this purpose, we employed statistical analysis tools, such as factor and regression analysis and an adaptive-network-based fuzzy inference system(ANFIS), thereby combining the merits of fuzzy and neural networks and presupposing a non-linear relationship. Through factor analysis, we also categorized the subjective textures into 'roughness', 'softness', 'bulkiness' and 'stretch-ability' with R2=70.32%: and categorized the sensibilities into 'Stable/Neat', 'Natural/Comfortable' and 'Feminine/Elegant' with R2=68.12%. We analyzed subjective textures, sensibilities, and preference with ANFIS, assuming non-linear relationships; consequently, we were able to generate three or four fuzzy rules using wool/rayon fiber content and loop length as input data. The textures of roughness and softness exhibited a linear relationship, but other subjective characteristics demonstrated a non-linear input-output relationship. Compared with linear regression analysis, the ANFIS exhibited had higher predictive power with respect to predicting subjective characteristics.