• Fashion & Textile Research Journal
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• v.19 no.2
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• pp.240-248
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• 2017

This study compares general jacquard fabrics and jacquard fabrics with optical fiber on mechanical properties, sensibility and preference evaluation of fabric for the blind. The analysis also assesses the effect of optical fiber in the evaluation and identifies those best suited for consumers. The mechanical properties of jacquard fabrics were measured by the KES-FB system. Sensibility and the preference of the jacquard fabric for the blind were rated on tactile sensation by women experts in their 20's and 30's. It was found that the optical fiber in jacquard fabric affected the change of mechanical properties as well as sensibility and preference. Jacquard fabric with optical fiber were softer and more transformable, while the fabrics had lower recover property by shear force and compression as well as more violent unevenness. Jacquard fabrics were also classified into three hand factors of surface property, resilience and weightiness. There were significant differences on surface property perceptions and weightiness, hand and blind preferences by optical fiber. Jacquard fabrics that contained optical fiber were not preferred by the blind because they were perceived to be uneven and heavy. Those, that were smooth and light, were preferred for jacquard fabric; in addition, fabrics preferred by the blind had good compression.

• 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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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• pp.38-46
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• 2004

To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line shopping mall. In this paper the focus of interest is on-line recommendation service algorithm for development of Human Sensibility based web agent system. The recommendation agent system composed of seven services including specialized algorithm. The on-line recommendation service algorithm use human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system's behavior requires the parallel execution of several tasks during the interaction (e.g., identifying the customer's emotional preference and dynamically generating the pages of the store catalog). Most of the present shopping malls go through the catalog of goods, but the future shopping malls will have the form of intelligent shopping malls by applying the on-line recommendation service algorithm.

• Journal of the Korean Society of Costume
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• v.54 no.3
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• pp.73-85
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• 2004

The purpose of this study was to investigate the characteristic and sensibility of Japanism fashion designs which represented by Japanese designers and Western designers. The stimulus were 29 pictures of contemporary fashion designs which represented the Japanism style fashion designs from fashion collections. The data were analyzed by Cluster analysis, Factor analysis, Multidimensional Scaling Method and Regression Analysis. The specific objectives were as follows ; 1) As result of design analysis, Japanism fashion sensibility is unique and good-looking. 2) As result of the factor analysis. 4 factors which are Attractiveness, Attention, Maturity and Hardness and softness. 3) According to sensibility positioning, The Japanism fashion design was classified by Decorative-Simple, Hard-Soft. 4) As result of the Regression Analysis, The preference of Japanism fashion design was related to attractive factor. 5) As result of the Regression Analysis. The buying desirable of Japanism fashion design was related to attractive, attentive and mature factor.

• Journal of the Ergonomics Society of Korea
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• v.23 no.3
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• pp.1-12
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• 2004

In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction （e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog）. The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.210-219
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• 2005

This research was designed to investigate the effect of hand and sendibility image on the preference to textiles for shirts. 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 result of this study were af follows : 1. In Spring ${\cdot}$Fall season, 5 factors were extracted as hand factor and 3 factors as sensibility factor of textiles for shirts. 2. 6 factors were extracted as hand factor and 3 factors as sensibility image in Summer. 3. 5 factors were extracted as hand factor and 3 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${\cdot}$Fall and Summer. 6. Hand and sensibility image were related to the preferene to texitiles for shirts in Spring and Winter.

• Science of Emotion and Sensibility
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• v.8 no.2
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• pp.129-135
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• 2005

The purposes of this study were to investigate the subjective preference for odors, which has been an important factor for selecting fabric softner, and to identify the structure of sensibility of odors. Among six different odors, the subjects preferred freesia, blue bianca, violet, herb, green tea, and peach, in that order. Compared to male subjects, female subjects preferred freesia, herb, and blue bianca. The structure of odor sensibility to freesia showed 5 different factors and the odor sensibility to peach showed 6 different factors. Therefore, the structure of odor sensibility according to different odors was a bit different. Common factors of freesia odor and peach odor were aesthetics, character, excitement and intensity.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.38-41
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• 2008

This study's basic intention is to analyze property of combination relations of formative element composing robot' s face based on a result of preference response on robot's design. Also, in order to improve preference from the analysis result, the study intended to inquire into possibilities of suggesting design guideline. For the above, photographs of 27 robots' faces were selected as a experimental stimuli, and experiments on preference response and association response were performed. As a result, various properties such as robots' form of eyes having greater influences than facial structure, etc. Based on the result, each formative element's property that could have positive influence preference response on robot's face could be drawn and basic design guideline could also be suggested.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.81-92
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• 2015

The purpose of this study was to investigate the emotion and preference for shoes styles through empirical research, in accordance with personality type, age and fashion innovativeness of female students. This study was a survey research through convenience sampling of 224 college students. In order to select shoes style, a pre-classification through dictionary and online search was done to choose the representative eight styles of shoes to college students. Personality types was determined from the modified measures of the brief MBTI to fit this study, and the emotional scale of sensibility was revised from the previous studies. SPSS statistical analysis were executed as follows: First, preference and emotion on shoes styles were significantly different in accordance with the shoes type and the diagram from the results of correspondence analysis showed some relationship between the sensibility and shoes styles showing 4~5 clusters. Second, the sensibility and preference had significant difference in some type of shoes according to the personality types of college students. Third, there was a significant difference in the shoes preference and sensibility by accordance of the degree of fashion innovativeness. And there was a significant difference in preference of shoes according to the purchase frequency of consumers. We hope this data is useful to this current dynamic market of shoes to the both sides of producer and consumers.

• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.137-143
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• 2009

The purpose of this study is to examine the evaluation of texture image and preference according to the structural characteristics of silk fabric, and to analyze the effects of texture image and sensibility on the preference. 53 female subjects evaluated fabric image and sensibility of 17 specimens of white silk fabrics sold on the market with semantic differential scale. The data were analyzed through factor analysis, Pearson correlational coefficient and t-test using SPSS win 13.0. For the evaluation, structural characteristics such as fiber contents, weave type, weight and thickness were analyzed. Factor analysis showed that sensibilities were classified into 3 categories; 'surface property', 'weight', 'flexibility'. Fabric images were classified into 2 categories; 'elegance' and 'naturalness'. Statistically significant differences of structural characteristics on the texture image were observed. Weave type affected 'surface property' and fiber contents affected' flexibility'. Weight and weave type affected' elegance', too. The significant factors affecting preference were fabric image of 'elegance' and structural characteristics of 'weave type'. The results of this study showed that the most preferred silk fabric is smooth and soft satin weaved fabric with texture image of 'elegance'.