• Science of Emotion and Sensibility
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• v.19 no.3
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• pp.3-14
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• 2016

This study is aimed to measure the physical colorimetric property according to three conditions, natural dyestuffs (Gardenia, Sappan wood, Lac, Gardenia blue, Mugwort, and Indigo), fabric types (cotton, silk), and presence of mordant (without, with), and then to evaluate the psychological sensibility. Also, to perform analysis of variance (ANOVA) to find out the differences of physical properties according to the three natural dyeing conditions, and to analyze the relationship between physical property and psychological property by Pearson's correlation analysis and then suggest the prediction model by regression analysis using SPSS program (ver. 21.0). Finally, to propose a certain sensibility image map of naturally dyed fabrics, MDS (Multidimensional Scaling) was used, and as a result, Gardenia dyed fabrics having the color sensibilities such as 'hard' and 'heavy' were suggested to evoke masculine image, and to evoke feminine image, Sappan wood and Lac having 'bright', 'transparent', 'soft' and 'light' sensibilities were suggested. Natural image might be induced by using 'subdued' Mugwort dyed fabrics, and active image might be induced by using 'showy' Indigo dyed fabric.

• 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.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.295-301
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• 1999

본 연구에서는 특정 대상에 대한 사람들의 심리적인 색채반응을 측정할 수 있는 색채감성척도(PCS)를 개발하고 이것을 색채 감성 이미지의 평가에 어떻게 이용하는가를 보여주고자 한다. 색채심리에 기초한 색채감성척도(PCS)는 NCS와 ISCC-NBS 색명법에 의거한 색상과 톤의 개념으로 구성되었으며 기본형과 상세형의 두 가지가 개발 되었다. 표준화된 색채감성척도는 각 사람들마다 다르게 나타나는 색에 관한 이미지나 색에 대한 심리적인 선호반응을 객관적으로 측정할 수 있는 척도로 활용될 수 있다. 본 연구에서는 선호색, 선호의상색, 선호 화장품 색을 나타내는데 PCS가 어떻게 활용되는가를 보여주었다. PCS를 이용한 색채 감성 이미지는 Color Image Palette를 이용하여 각각의 특성을 비교할 수 있도록 제시되기도 하였다. 색채 경험에 대한 광학적이거나 물리적인 속성이 아닌 심리적인 특성을 평가하고 서로 다른 집단의 반응을 비교 평가하는데 PCS와 유용한 도구가 될 것이다.

• Science of Emotion and Sensibility
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• v.13 no.4
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• pp.693-702
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• 2010

This study was carried out in order to investigate the colorimetric values, the color sensation and sensibility for naturally dyed fabrics with microbial prodiginine colorant and to find out the relationship among color sensation, color sensibility factors and colorimetric properties of them. Color sensation and sensibility of four different fabric stimuli coloring red purple by a microbial prodiginine colorant produced from Zooshikella sp. were subjectively evaluated by university students. The color sensibility for the naturally dyed fabrics was classified into four factors: 'pleasantness', 'gracefulness', 'characteristic' and 'relax'. Color sensibility factor 'pleasantness' was the dominant factor for the naturally dyed fabrics with microbial prodiginine colorant. All color sensibility factors showed a significant correlations with the color sensation and colorimetric properties of the dyed fabrics with prodiginine. There were showed significant relationships between the color sensibility factors and lightness $L^{\ast}$, color saturation $C^{\ast}$, $a^{\ast}$ and $b^{\ast}$. Also, color preference of the dyed fabrics with prodiginine was found to be influenced mainly by color sensibility factors.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.198-201
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• 2009

본 연구는 미생물색소로 염색한 소재의 색채감성을 평가하여 색채감성에 영향을 미치는 색채감각과 물리적 색채특성을 규명하고자 한 것이다. 미생물 Zooshikella rubidus 가 생산하는 색소를 추출하여 면, 견, 모, 나일론 직물에 염색한 소재에 대하여 20 대 대학생 남녀 40 명을 대상으로 의미미분법에 의하여 색채감성을 평가시켰다. 색채감성용어에 대한 요인분석결과, 명랑성, 품위성, 매력성, 편안성등 4 개 요인이 도출되었다. 명랑성 요인은 L*, a*, C*, 맑다, 가볍다, 부드럽다, 밝다와 정적 상관을, b*, 강하다, 깊다, 딱딱하다와 부적상관을 보였으며, 품위성 요인은 b*, 따뜻하다와 정적 상관을, a*, C*, 가볍다, 강하다와 부적 상관을 보였다. 또한 매력성 요인은 a*, C*, 맑다, 밝다와 정적 상관을 보였으며, 편안성은 b*, h, 따뜻하다와 정적 상관을, a*, C*, 강하다와 부적 상관을 보였다. 한편, 미생물색소로 염색한 소재에 대한 색채감성 평가는 성에 따른 유의한 차이가 없었으나, 선호도는 성에 따른 유의한 차이가 있었다.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.491-498
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• 2022

Based on Goethe's color theory, this study presented concepts and classification methods through the following research methods for the purpose of defining sensory, emotional, and experiential colors as spatial colors in digital space. First, the concept of spatial color is defined through theoretical consideration and three (3) types of spatial color are classified as the surface, outline, and physical colors. Secondly, the study includes the characteristics of digital space and color sensory type. Third, based on the identified color sensory type through the previous theoretical consideration, the four (4) categorized digital spatial color were derived and presented as techno Chromatic, S.E.N.S.E, pixel, and blur colors were determined and proposed. Based on such research contents, this study is meaningful in that it systematized the meaning of Goethe's color theory in the present age through digital spatial color.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.109-120
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• 2009

This study was carried out in order to investigate color sensation and sensibility for yellowish natural dye fabrics and reddish ones and to establish prediction models for color sensibility factors of them by color sensation and the related physical measurements focusing on 40s middle-aged people. Eight fabric stimuli which were dyed with a variety of yellowish or reddish natural dyes was subjectively evaluated in terms of color sensation and sensibility by 40s aged participants. As results, three color sensibility factors including 'Active', 'Characteristic', and 'Relax' were extracted and they were examined in respect of their relationships with color sensation and physical color properties. Color sensibility factor 'Active', the dominant factor for the naturally dyed fabrics was explained by $L^*$ and sensation 'Deep' in its predictive model and a yellowish fabric dyed with 300% solution of armur cork unmordanted was perceived the strongest in the factor. Factor 'Characteristic' was predicted by both $a^*$ and sensation 'Light' and reddish natural dye fabrics tended to be felt more strongly for it. Color sensation 'Strong' was the only predictor for factor 'Relax' in that naturally dyed fabrics with lower values for the sensation seemed to show higher 'Relax' factor and a reddish fabric dyed with safflower 125% was the highest for the color sensibility factor. These results could be utilized to design color-sensible natural dye fabrics for middle-aged people.

• 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.

• Science of Emotion and Sensibility
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• v.5 no.2
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• pp.23-28
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• 2002

The purpose of this study was to classify apparel fabrics according to rustling rounds and to analyze their transformed colors and mechanical properties. The rustling sounds of apparel fabrics were recorded and then transformed into colors using Mori's color-transforming program. The specimens were clustered into five groups according to sound properties, and each group was named as ‘Silky’,‘Crispy’,‘Paper-like’,‘Worsted’, and ‘Flaxy’, respectively. The Silky consisted of smooth and soft silk fabrics had the lowest value of LPT, $\Delta$f, ARC , loudness(B) and sharpness(z). Their transformed colors showed lots of red portion and color counts. The Crispy with crepe fabrics showed relatively low loudness(z) and sharpness(B), but diverse colors and color counts were appeared. The Paper-like showed the highest value of LPT, $\Delta$f and loudness(z). The Worsted composed of wool and wool-Like fabrics showed high values of LPT, $\Delta$f, loudness(z) and sharpness(B). The transformed rotors of the Paper-like and Worsted showed the blue mostly but color counts were less than the others. The Flaxy with rugged flax fabric had the highest fluctuation strength, and their transformed colors showed diversity.

• Science of Emotion and Sensibility
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• v.9 no.spc3
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• pp.251-263
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• 2006

The purpose of this thesis is to make clear of the evaluation structure of sensibility by the colored plastic's roughness through the vision. I presented these samples to the testee, collected. surveys and analyzed. As a result of analyzation of relationship between the sensibility and the physical features, the key figures of sensibility analyzation by the roughness of the plastic can be displayed with three axis. Also, these results are showing the differences of the sensibilities for the five-presented colored samples and roughness. These results are expected to be utilized as the basic research material for the surface design sensibility evaluation by roughness and color before the surface treatment of plastics or other materials.