• Science of Emotion and Sensibility
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• v.5 no.3
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• pp.29-34
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• 2002

This study aimed to investigate the effect of design factors of woven textiles on the consumer's sensibility and emotion. 60 textile design pictures and 18 adjectives were prepared to get responses from 512 adult subjects. Textiles designs were analyzed into 9 design factors, such as, motif source, motif-background ratio, motif interpretation, motif arrangement, motif variation, motif articulation, hue contrast, value contrast, and chroma contrast. The results are followings: 1) The design factors of textiles were connected to other design factors, for example, the type of motif interpretation determined the type of chroma contrast, motif source, the ratio, and chroma contrast significantly. 2) The correlational coefficients of the ratio, motif variation, chroma contrast, hue contrast, articulation, and value contrast were positively signed significantly. 3) Consumer's sensibility was changed in urban, natural, graceful, mannish, young, dynamic, new, modem and etc, as the textile designs were changed in motif source, arrangement, hue contrast and etc.

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.121-133
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.

• Science of Emotion and Sensibility
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• v.4 no.1
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• pp.43-51
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• 2001

When consumer evaluates a product, every aspec of the product affects the evaluation. Human uses at least five sensory organs for the evaluation. Multi-sensory or multi-modal design tries to add auditory and olfactory factors to the traditional visual-centered design. For the multi-modal design, it is essential to understand relationships between combined sensory stimuli and human sensibility. Information between simple sensory stimulus and human sensibility is pre-requisite to combine multi-modal stimuli. This study investigated human sensibility against 8 colors and 30 sounds, presented independently. The combined stimuli of color and sound were made based on the sensibility generated by each stimulus. Human sensibility generated by the combined stimuli of color and sound were made based on the sensibility generated by each stimulus. Human sensibility generated by the combined stimuli was investigated with 20 female subjects. For combined stimuli that generated the same kind of sensibility respectively, generated sensibility was same but strength was diminished. For combined stimuli that generated the different sensibilities respectively, subjects showed neutral sensibility or no special sensibilities. Sensibilities to the same stimuli also showed difference depending on personal background of the subjects.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.42-42
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• 2004

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.541-550
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• 2003

It is important for the strategy of product sales to investigate the consumer's sensitivity and preference degree in the environment that the process of material development has been changed focusing on the consumer renter. In the present study, we propose the Fashion Design Recommender System (FDRS) of textile design applying collaborative filtering personalization technique as one of methods in the material development centered on consumer's sensibility and preferences. In collaborative filtering personalization technique based on textile, Pearson Correlation Coefficient is used to calculate similarity weights between users. We build the database founded on the sensibility adjective to develop textile designs by extracting the representative sensibility adjective from users' sensibility and preferences about textile designs. FDRS recommends textile designs to a consumer who has a similar propensity about textile. Ultimately, this paper sugeests empirical applications to verify the adequacy and the validity on this system with the development of Fashion Design Recommender System (FDRS)

• Journal of Fashion Business
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• v.6 no.3
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• pp.52-59
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• 2002

Companies desire to increase total profits. Consumer's buying behavior depends on the nature of the product just like look, touch, and feel of fabric in apparel shopping on-line with Quick Response based mass-customization. The purpose of this study is to investigate the consumer's texture sensibility from textile image under on-line environment in order to give the direction for marketing strategy in apparel ebusiness. Total 8 kinds of textile swatches representing each of 8 texture-sensibility-axes were selected for this research on the basis of finding in previous studies. The analyses of 60 questionnaires were conducted by frequency, mean, and standard deviation using SPSS 10.0. The results of this research were as follows: Under on-line environment, consumers recognized Homespun as natural, strong, and warm texture sensibility, but not as glossy, and transparent. Oxford was recognized by consumers as refreshing, and plain texture. Consumers recognized Muslin as flat and refreshing, Melton not as transparent but as warm, strong, dense, and natural, Habutae as thin, transparent, refreshing, flat, glossy, and soft, Linen as sandy, Suede not as transparent but as strong, and warm, and Terry as warm, and dense.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.71-80
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• 2014

The purpose of this study was to investigate consumer evaluation on visual sensibility of stripe pattern shirts for separation coloration. The experimental materials developed for this study were a set of clothing stimuli and response scales. The clothing stimuli were 27 color pictures, in which separation color(white: W, gray: G, black: B), separation width(small: S, medium: M, large: L), and combination color(magenta and yellow: MY, magenta and cyan: MC, yellow and cyan: YC) were manipulated. The subjects of this research were female in their 20s to 30s living in Seoul, Gwangju, Daegu, Busan, and Changwon. The investigation was carried out at December 2013. The data were analyzed by using SPSS program. Analysis methods were factor analysis, ANOVA, and Duncan-test. Results of this study were as follow.; The factors of visual sensibility according to separation color, separation width, and combination color consisted of four dimensions of attractiveness, appeal, individuality freshness, and grace. Separation color showed an independent effect on appeal and individuality freshness. Combination color showed an independent effect on individuality freshness. Interaction effects of separation color and separation width on appeal were found. Interaction effects of separation color and combination color on individuality freshness and grace were found. The study results are highly expected to be used as useful sources in a fashion product.

• Fashion & Textile Research Journal
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• v.14 no.3
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• pp.430-437
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• 2012

This study analyzed the sensibility of eco-friendly fabrics for college students and investigated their attitude on environmental problems, trust reliability onto eco-apparel products, and their purchase state. We tested 6 eco-friendly fabrics (recycled polyester, organic cotton, green tea, charcoal, bamboo, and nettle) through a survey using the Likert scale of 12 polar sensibility words. Most fabrics showed feelings that were smooth, natural, female, and country these were followed by fashion, cheap, functional, sustainable, warm, and vintage. In addition, nettle fabric showed 'rough' feeling, and recycled polyester fabric showed an 'artificial' feeling. Correspondence analysis showed the distance and direction between fabric types and sensibility words with a 2D diagram where the X axis was named with 'Soft <-> Hard' and Y axis was with 'Environmental <-> Manmade' to represent the relationship between fabric types and the sensibility words. According to the results of the multiple regression analysis, the cognition level of the consumer for environmental problems was found to be the most influential variable on the loyalty purchase of eco-friendly products; however, the trust reliability level of consumer onto eco-friendly apparel products was found to be the most influential variable on the conditional purchase of eco-friendly apparel products.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.177-182
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• 2024

A consumer's decisions are made by affection of product. Affection has types: evaluation, mood, emotion and sensibility that means unconscious changes. Previous researches have clarified weather factors affect to sensibility that means weather factors may have causal effects to consumer's decision making. This research utilize weather information from KMA(Korea Meteorological Administration) and SNS geographical information and text to make weather sensibility model, and clarify the model shows significant change to online shop customer's purchase behavior(purchase frequency) by merging customer's address information and geometric information of the model for apply weather model. As a result, a model utilize daily precipitation, sunshine hours, average ground temperature, and average relative humidity makes significant result to e-commerce purchase behavior frequency.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.67-71
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• 1999