• Journal of the Korea Fashion and Costume Design Association
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• v.2 no.2
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• pp.155-171
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• 2000

This study is to measure and evaluate the sensibility image for textile pattern design based on the generation. Ten patterns classified by a practical survey on the market are presented. A questionnaire has 14 sensibility related words scaled by 7 point semantic differential method. The practical research is performed for 200 women screened by sensibility test for individual character analysis based on the generation. Each subject is answered by a face-to-face interview method to improve survey's accuracy, For statistical test about differences in treatment means, SAS package is used and analyzed through ANOVA, significance probability and mean, In summary, this paper has proposed the sensibility image scale for apparel pattern design to satisfy individual sensibility, The results of this study can be effectively applied to develop textile pattern design based on human sensibility.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.6
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• pp.1087-1094
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• Fashion & Textile Research Journal
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• v.4 no.1
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• pp.47-55
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• 2002

This paper is to study pertinent consumer evaluations and preferences of fashion depending upon human sensibility. Focus is placed on quantifying consumer's sensibility through the sensibility analysis of men's fashion. The subject are 227 male and female university students of who take the course of "Modern Life and Fashion" and "Understanding of Colors" in the OCU Cyber University. Data has been collected by survey method and subsequently analyzed and interpreted. To measure consumer's consuming sensibility, G-Sensibility tool developed by 'Fuji Central Institute' has been employed. The results of the analysis of ANOVA and MANOVA show significant differences among the following 5 styles: Active style G2, Open-minded style of G-3, Mania style of G4, Sensitive and emotional style of G5. According to ${\chi}^2$ test, the results show that the distinction of sex and their interests in fashion are significant different. The evaluation of men's fashion, according to Multi-dimensional test, shows a variety of differences according gender and G sensibility styles. These varied distinctions are illustrated statistical in Picture 1, Picture 2, Picture 3, Picture 4, Picture 8, and picture 10. Based art the results, a follow-up study to develop the case study and the apply it's results are recommended to produce products placed in the market.

• Journal of the Korea Fashion and Costume Design Association
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• v.3 no.2
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• pp.87-106
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• 2001

This study is to measure and evaluate the sensibility image for textile color and pattern design of woman's golfwear. Four-group colors and four patterns classified by a pracical survey on the market are presented. A questionnaire has 14 sensibility related words scaled by 7 point semantic differential method. The practical research is performed for 150 women screened by sensibility test for individual preference analysis based on the ages. Each subject is answered by a face-to-face interview method to improve survey's accuracy. For statistical results there are significant differences in treatment means of sensibility measurements according to the ages. Sensibility image for textile color and pattern design is significantly different according to individual character based on ages. In summary, this paper has proposed the sensibility image scale for textile color and pattern design of women's golfwears to satisfy individual sensibility according to ages. The results of this study can be effectively applied to develop textile color and pattern design based on human sensibility.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.3_4
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• pp.387-395
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• 2004

This research was designed to investigate the effect of hand and sensibility image on the preference to textiles for jacket. 85 subjects majored in fashion design were surveyed and 10 kinds of fabrics used as specimen at each season. Factor analysis, t-test, Pearson correlation, regression were used for statistical analysis by SPSS WIN 11.0. The results of this study were as follows; 1. In Spring\ulcornerFall season, 6 factors were extracted as hand factor and 2 factors as sensibility factor of textiles for jacket. 2. 6 factors were extracted as hand factor and 2 factors as sensibility image in Summer. 3. 6 factors were extracted as hand factor and 2 factors as sensibility image in Winter season. 4. There were significant differences according to sex between hand factor and sensibility image at each season. 5. There were significant correlations between hand and sensibility image in Spring\ulcornerFall and Summer. 6. Hand and sensibility image were related to the preference to textiles for jacket in Spring and Winter.

• Science of Emotion and Sensibility
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• v.10 no.2
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• pp.209-220
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• 2007

The purpose of this study is to investigate the words that represent the human sensibility for the water space. The selection of certain words for human sensibility valuation is very important things because of make standard for human sensibility valuation in water bodies. At the first step of the research, 129 words were collected from the subjects by imagination in group of specialist, studies on water space, studies on landscape valuation and studies on human sensibility valuation in out door environmental. At the second step, the suitability test was done and 39 words collected over an average 3.5 point. This words test was 5 point measure to similarity water bodies. At the third step, the factor analysis, cluster analysis, Multi Dimensional Scaling was performed on data, and 9 words were selected from the analysis. Finally, selected comfortable words for human sensibility valuation in water space is hands-on experience, natural, sensibility, harmony, clear, good-feeling, dynamic, free-heart, romantic. The significance of the present study is that it contributes the progress of uncovering the axis of the human sensibility by carefully selecting the words that represent the human sensibility.

• Proceedings of the KIEE Conference
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• 2001.11c
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• pp.184-186
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• 2001

This paper describes a method of human sensibility evaluation for pleasant and unpleasant environments. Conditions of the environment are room temperature and humidity. Changing the conditions, 10-channel EEG signals for 4 subjects are collected. Linear predictor coefficients of the recorded EEGs are extracted as the feature parameter of human sensibility. A neural network-based human sensibility estimation algorithm is developed. The developed algorithm showed good performance in the pleasantness evaluation. The neural network output produced accurate states of pleasantness sensibility. Subject-independent test showed similar results with subject-dependent test.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2010-2012
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• Journal of Fashion Business
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• v.6 no.6
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• pp.105-111
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• 2002

E-business has been regarded as new type of marketing channels and has been growing rapidly. The purpose of this study was to investigate textile sensibility depending on consumers' purchase experience of apparel product in e-business. The analyses of 202 questionnaires were conducted by frequency, mean, and standard deviation, and t-test using SPSS 10.0. Computer setting environment was 1280$\times$1024 resolution with 96 DPI (dots per inch) for this experiment. The results of this research were as follows: Melton (flat axis), habutae (thin axis), suede (wet axis), and terry (rustic axis) showed that there were no significant differences in textile sensibility regarding purchasing experience in the cyber apparel store. But oxford (hard axis) showed that purchasing experience group perceived less modern and smooth textile sensibility than no purchasing experience group. In case of linen (dry axis), purchasing experience group showed less modern textile sensibility. In case of muslin (soft axis), purchasing experience group had more flat and less soft textile sensibility than no purchasing experience group. In case of homespun (thick axis), purchasing experience group perceived less modern textile sensibility than no purchasing experience group.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.137-147
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• 2010

This research was designed to compare the subjective evaluation of texture image and preference by structure and sensible characteristics of women's suits fabrics between on- and off-line. 78 subjects who majored in fashion design evaluated the sensibility image and preference of 15 various kinds of specimens on- and off-line. Factor analysis, t-test, Pearson correlation and regression were used for a statistical analysis by SPSS WIN 13.0. The results of this study were as follows: 1. Women's suits fabrics were classified according to five sensibility image factors: 'classic', 'sophisticated', 'natural', 'characteristic', and 'practical'. 2. The results of the t-test showed that there were no differences between the on- and off-line evaluation of sensibility images. 3. The analysis of correlation indicated that the 'classic'-'sophisticated' and 'natural'- 'practical' sensibility images show a significant correlation between the two kinds of evaluation. 4. The results of regression revealed that 'sophisticated', 'characteristic' and 'practical' sensibility images had an effect on the purchase preference of women's suits fabrics. 5. 'Sophisticated', 'characteristic' and 'classic' sensibility images had an effect on the tactile preference of women's suits fabrics. 6. The structural characteristics of fabrics: thickness, weave and weight had an effect on the 'classic' sensibility image. Thickness had an effect on the 'sophisticated' sensibility image and fabric count had an effect on the 'characteristic' sensibility image.