• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.25-29
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• 2001

소비자 감성 분석에 근거한 블록 스트라이프 패턴(block stripe pattern)의 디자인 방법을 제안하고자 남녀 30명을 대상으로 명도, 폭, 간격이 조작된 서로 다른 27개의 블록 스트라이프 패턴의 자극물을 제시하여 감성평가를 실시하였다. Likert 척도에 의해 명도, 배열, 폭, 간격의 4가지 디자인 요소가 요인분석을 통해 도출된 12개의 감성차원에 미치는 영향을 측정하고, 물리량에 근거한 정량적 분석을 통해 감성과의 관계를 파악하였다. 이를 근거로 각각의 감성에 부합하는 명도, 배열, 폭과 간격의 디자인 요소별 물리량과 함께 디자인 요소의 물리적 변화에 따른 감성예측 회귀모형을 도출하였다. 디자인 요소 중 명도차, 간격, 폭의 순으로 디자인 요소의 물리량 변화가 유의적인 감성차를 유발하는 것으로 나타났다. 이 중 명도차는 "캐주얼한"을 제외한 모든 감성에서 감성차에 영향을 미치는 가장 설명력 높은 디자인 요소로 분석되었다. 이 결과를 토대로 각각의 감성에 부합하는 디자인 요소별 물리량과 함께 디자인 프로토타입을 제시하였다.

• Science of Emotion and Sensibility
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• v.5 no.3
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• pp.21-28
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• 2002

In order to reflect emotion and sensibility of consumers to textile pattern design, the effect of design elements of block stripe pattern on sensitivity was investigated. The stimuli were manipulated with 4 design elements of value difference (3 levels), arrangement (2 levels), width (2 levels) and interval (3 levels). Among the 36 combinations, 27 stimuli, which showed independent sensibility results in the pretest, were adopted as final stimuli. Male and female university students (n=30) evaluated each sensibility subjectively using a questionnaire developed for this study. The effect of design elements on 12 sensibility dimensions drawn by factor analysis and the relationships between the physical quantities of each stimulus and the sensibilities were investigated. As the results of ANOVA for the effect of design elements on sensibility, there were more significant differences in sensibility in the orders of value difference, interval, width, and arrangement. The value difference showed the highest explanatory power. Looking at the sensibility differences according to the level of design elements, the narrower the width of the stripe, the more 'humble', 'clean', 'modern', 'simple', and 'comfortable', and the narrower the interval between stripes, the more 'impressive' and 'conservative' The smaller the value difference, the more 'luxurious', 'modern', 'humble', 'simple', 'soft', and 'clean'. Regression models to predict the 12 sensibilities showed higher values of goodness of fit except 'conservative', 'casual' and 'modern', which were all over 0.6. Based on these results, 2 design prototypes reflecting consumer's sensibility were presented.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.2
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• pp.174-188
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• 2004

In the life environment changed with not only the quality and the price of the products but also the material abundance, it is the most crucial factor for the strategy of product sales to investigate consumer's sensibility and preference degree. In this perspective, it is necessary to design and merchandise the products in cope with each consumer's sensibility and needs as well as its functional aspects. In this paper, we propose the Fashion Design Recommender Agent System (FDRAS-pro) for textile design applying collaborative filtering personalization technique as one of the methods of material development centered on consumer's sensibility and preference. For a collaborative filtering system based on textile, Representative-Attribute Neighborhood is adopted to determine the number or neighbors that will be used for preferences estimation. Pearson's Correlation Coefficient is used to calculate similarity weights among users. We build a database founded on the sensibility adjectives to develop textile designs by extracting the representative sensibility adjectives from users' sensibility and preferences about textile designs. FDRAS-pro recommends textile designs to a customer who has a similar propensity about textile. To investigate the sensibility and emotion according to the effect of design factors, fertile designs were analyzed in terms of 9 design factors, such as, motif source, motif-background ratio, motif variation, motif interpretation, motif arrangement, motif articulation, hue contrast, value contrast, chroma contrast. Finally, we plan to conduct empirical applications to verify the adequacy and the validity of our system.