• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.5
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• pp.825-839
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• 2021

This study aims to develop jacquard fashion masks using traditional patterns and investigates the preference and emotions of consumers for them. Nine patterns were designed with the motifs of plum flower, turtle, and geometric patterns using an Adobe Illustrator program. After that, 20 kinds of jacquard fabrics were developed using those patterns, and prototype masks were made. Furthermore, data were collected using a survey of 231 adult consumers to understand the emotional images evoked by jacquard fashion masks with traditional patterns. The results of the research show that the emotional dimension derived from jacquard fashion masks with traditional patterns consists of seven factors: luxurious image, frugal image, feminine image, oriental image, sporty image, geometrical image, generous image. We found that consumers preferred the M6 with the plum flower pattern as the motif as the most preferred design, while M13 with the geometric pattern as the motif was the lowest preferred.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.6
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• pp.14-26
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• 2015

This study has been conducted so as to analyse user's sensibility on lighting method, correlated color temperature and illumination by composing surface light source, which was projected onto a unit side of interior wall, ceiling and floor. 1) As an analyzed results of the sensibility images, it showed that the "snug & tender" value had got higher when the correlated color temperature got lower. And the "energetic, cheerful" value had got higher when the level of illuminance got lower. Furthermore, the "unusual, unique" showed higher value on the illuminated floor circumstance. Finally, the higher correlated color temperature had been, "energetic, cheerful" value also got higher. 2) As a result of multi-regression analysis, it was found that 3000K and 100lx had the biggest influence on 'snug' image while 5,500K, 500lx had the biggest influence on 'energetic' image. In addition, it was found that the illuminated floor had a big influence on 'unusual' image while 500lx had the biggest influence on 'refined' image.

• Science of Emotion and Sensibility
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• v.1 no.1
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• pp.161-169
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• 1998

제품의 “감성이미지”란 제품의 기능과 함께 제품의 전달하는 감각적 요소 그리고 사용자가 제품을 통해 표현하고자 하는 개념적 표상을 통합하는 이미지이다. 감성이미지의 국제 비교 연구는 사용자가 특정 제품에 대해 가지고 있는 이미지를 구가나 문화의 맥락 속에서 해석하고, 이들 이미지를 상호 비교 평가하고자 한다. 생활문하 속에서 사용자들이 제품에 대해 가지는 감성이미지를 계량적으로 규명하고 비교 평가하며, 이 정보를 기초로 각국의 문화와 정서에 적합한 제품 디자인의 모형을 제시하는데 본 연구의 목적이 있다. 구체적인 연구활동으로 다음과 같은 방법이 제시되었다. 먼저, 각 문화 집단을 특징 지울 수 있는 표상개념으로 “언어 이미지” 스케일을 구성하였다. 이 언어 이미지에 대응하는 디자인 요소로 색채를 활용하여, 언어 개념과 색채 요소에 상응하는 자동차 제품의 감성 이미지가 각 문화 집단에 따라 상이하게 나타날 수 있는지를 비교하고자 하였다. 본 연구에서 나타난 각 문화 집단들이 특정 제품에 대해 적용하는 감성 이미지는 언어와 색체 요소로 구체화 될 뿐 아니라, 이들 집단이 형성한 사회적 표상(social representation)의 개념으로 비교될 수 있는 것을 보이고자 하였다.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.8
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• pp.1142-1152
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• 2004

The purpose of this study is to verify the visual perception on various cotton fabrics of the same color. Results obtained through subjective evaluation of cotton fabrics showed that the textural adjectives could be classified into 3; warm/cool, flexibility and surface property, the sensibility adjectives into 5; simple, attractive, masculine, conservative, comfortable and visual perception adjectives into 6; hard, warm, smooth, brilliant, classic and casual. Image distribution results on 12 different fabrics, showed different distributions among textiles on visual perception due to varying texture and sensibility. In thickness, weight, weave type, bending and surface characteristics which are structure characteristics, significant differences were shown for visual perception examination. Having placed into an image scale, visual perception dimension developed divided into the ＇soft-hard＇ axis and the ＇warm-cool＇ axis.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.3
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• pp.85-98
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• 2015

Modern fashion shows the trend of various styles and the period focusing on only product functions is changed to the period focusing on consumer's sensibility. Consumers show different sensitivities and preference by individual at the stage cognizing and recognizing the stimulation of given image and the method of objective measurement based on the fashion sensible vocabularies is necessary to measure fashion sensibility. Therefore, this research is significant to examine differences of preference to classic fashion by generation and awareness for sensible vocabularies and suggest methodology of design sensible evaluation research through the quantitative evaluation objectifying subjective sensibility. For the method of research, precedent theses related to classic, concept and characteristics of classic in books and definition and characteristics by generation were examined, the best 3 domestic portal sites were selected and adjective vocabularies and images related to classic were collected from 2010 to 2014. Among the 206 adjectives collected, vocabularies whose average is more than 3.5 were drawn by 5-point Likert scale for fashion expert group. And, among the total 306 images collected, 21 representative images were selected by preliminary investigation of fashion expert group. For the classic images and vocabularies selected, frequency analysis, factor analysis and variance analysis were conducted by SPSS 19.0. The results of analysis are as follows. Preference to classic fashion image by generation was analyzed. As a result, both of two generations selected classic fashion as the most classic one. The images of the next orders were analyzed. As a result, Y generation selected basic classic fashion image which is casual with high activity as a classic one. Baby boom generation selected ancient classic fashion image, so there were differences in preference for classic by generation. As a factor analysis on classic adjective vocabularies, they could be divided into 5 factors such as basic form, attractive form, traditional form, vintage form and active form and they verified that credibility of all measuring variables for classic sensible vocabularies was achieved. Differences of classic sensible vocabularies by classic fashion image and generation were examined. As a result, generation and classic fashion image made a significant effect on five factors. Therefore, there were differences of the awareness on classic fashion images and sensible vocabularies among the generations and this thesis can be a fundamental material which objectifies subjective sensibility and suggests the methodology of new research.

• Science of Emotion and Sensibility
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• v.6 no.3
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• pp.45-54
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• 2003

This study is designed to extract sensibility words of mobile phone image and analyze the relational patterns among those words to develope a sensibility model for mobile phone design. We expected the different sensibility scale would be developed according to the case of open or closed. The 25 representative words were abstracted as a result of words collection. As a result of the factor analysis of sensibility evaluation for mobile phone, the mobile phone design image was different according to the state of folding and unfolding. In the state of folder unfolding, the first factor was named as 'cool', the second factor as 'soft' and the third factor as 'handy'. In the state of folding, the first factor was named as 'stylish', the second factor as 'variegated' and the third factor as 'hard'.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.1
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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.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.149-156
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• 2000

The aim of this study is to propose the predictive index and analyze the effect of lightsources and colour image types in the residence and office interior.This study was consisted of four steps, and was carried out as follows. 1) The condition of experiment was set up by optical characteristic of lightsources and colours. 2) The scaled model space was manufactured for the evaluation of the same condition by each space. And, some piece of furniture was manufactured for the representation of each space. 3) The emotivity response of lightsources and colours was measured. 4) Results of the evaluation of lightsources and colours were compared and analyzed by conditions, and the predictive index was proposed by image types.

• Fashion & Textile Research Journal
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• v.16 no.4
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• pp.645-652
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• 2014

This study identifies consumer needs and a pattern sensory evaluation of jacquard fabrics for raincoats using quick-drying-absorbing polyester. We investigate the consumer's consciousness and raincoat improvements. Twelve kinds of jacquard fabrics were developed for use in this study. Developed jacquard fabrics were assessed subjectively by 152 university students using a 7-point scale of 26 consumer needs and 31 pattern image sensory descriptors. Data were analyzed by SPSS. The major results were: There was a need for consumers to improve the front fastener type, cuff fastener, mesh patch position, and raincoat pocket position. The most important parameter to choose raincoat fabric was waterproof and the other parameters were vapor-porous/water repellent, design, color, fashionability, air-permeability and easy-put on/off. The pattern image sensibility of jacquard fabrics was explained by seven factors: gorgeous, simple, cute, futuristic, ethnic, feminine, and cool. A higher pattern preference was found in the jacquard fabrics of unique, sporty, natural, luxurious, and trendy images. The pattern preference was predicted at 45.3% with gorgeous, simple, pure, cute, futuristic factors. The correlation coefficient between the pattern image sensibility factor 1 (gorgeous) and pattern preference was 0.674 and with factor 3 (cute) was 0.416, and with factor 6 (cool) was 0.209. The 4 factors (gorgeous, simple, cute, futuristic) were selected as a significant pattern image sensibility that influenced preference.