• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.143-146
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• 2008

The objectives of this study were to evaluate color sensation for yellowish natural dye fabrics using magnitude estimation to determine physical colorimetric factors significantly related to human sensibility by establishing power function in psychophysical analysis. Fourteen different yellowish fabrics dyed with natural colorants were selected as stimuli and subjective color sensations including brightness, heaviness, softness, strength, warmth, activeness, classicalness, femininity, and pleasantness for each stimulus were evaluated. As results, yellowish natural dye fabrics in general seemed to evoke feeling of brightness, femininity, and pleasantness more strongly than that of heaviness and classicalness. Most of color sensation were significantly related with more than one of physical color properties, which leads to establishing reliable power functions between them. In the power functions, these relationships could be utilized to design color-sensible natural dye textiles.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.50
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• pp.151-160
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• 1999

The relationship between the product design and product image can be defined using human sensibility. If there is a way to grasp the product value or product design that people want most, it could be possible to make and sell user-oriented products. In human sensibility ergonomics, the categories of design factor can be broken into shape and color of the design. Although, the color is the major factor of the design, however, texture were is also an important factor for the shape. In this study, wall-papers that have various shapes of texture were used for the experiment. The purpose of this study was to conduct a sensibility estimation experiment for the product image, and to estimate the parameters of various textures for creating new textures that could be more suitable for human sensibility.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.86-89
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• 2002

본 연구는 객관적인 생리 신호로부터 인간의 감성을 추론할 수 있는 감성 평가 전문가 시스템을 개발하기 위한 첫 번째 단계로, 측정된 생리 신호를 이용하여 인간의 긴장도를 판단하는 알고리즘의 개발이 목표이다. 감성 평가에 관련된 애매함을 수리적으로 취급하기 위해 퍼지 이론을 적용하여 임의의 감성 영역에 속하는 정도를 소속 함수로 정량화 함으로써 감성 평가를 가능하게 하고자 하였다 소속 함수의 결정은 상상을 통해 유발된 긴장/이완의 생리 신호 데이터 베이스 결과를 사용하였다. 그리고 두 가지 이상의 생리 신호 측정 결과와 각 생리 신호의 소속 함수로부터 하나의 최종 결과 (긴장도)를 유추하기 위해서 Dempster-Shafer 증거합 법칙을 적용하였고, 이를 통해 최종적인 긴장도를 도출할 수 있도록 하였다.

• Science of Emotion and Sensibility
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• v.4 no.1
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• pp.61-67
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• 2001

This paper described the effect of subjective approach in case of the human sensibility experiments. The procedure is proceeded subjectively. Human faces are selected as the image presentation media. Pleasant and unpleasant images are selected directly by examiner, And also the image presentation system, which is executed with a computer and has the square-type black box monitor equipment, is manufactured. Images are presented with the step-variation time interval technique. questionnaire test and EEG signal detection data are analyzed. The analysis parameters are a “frequency band integral value” and a “band differential variation ratio”. he results show the high sensibility and fast response. The fact that image presenting repetition alleviates is verified.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.11
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• pp.1506-1511
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• 2018

This study presents a human sensibility evaluation method using neural network and multiple-template method on electroencephalogram(EEG). We used a multi-layer perceptron type neural network as the sensibility classifier using EEG signal. For our research objective, 10-channel EEG signals are collected from the healthy subjects. After the necessary preprocessing is performed on the acquired signals, the various EEG parameters are estimated and their discriminating performance is evaluated in terms of pattern classification capability. In our study, Linear Prediction(LP) coefficients are utilized as the feature parameters extracting the characteristics of EEG signal, and a multi-layer neural network is used for indicating the degree of human sensibility. Also, the estimation for human comfortableness is performed by varying temperature and humidity environment factors and our results showed that the proposed scheme achieved good performances for evaluation of human sensibility.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.109-112
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• 1999

식기세척기를 소비자에게 인식시킬 수 있는 제품 Concept와 많은 소비자들이 선택할 수 있는 제품의 개발을 위한 설계요소의 추출을 동시에 얻고자 하였다. 이를 위하여 많은 계층의 소비자와 매장 조사 등 다양한 조사를 실시하였고 사용 여부, 소득 수준, 연령별, 직업별 등으로 실험대상자를 선정하여 감성실험을 통한 설계요소를 얻고자 하였다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.16-16
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• 2004

• Korean Institute of Interior Design Journal
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• v.23 no.5
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• pp.86-95
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• 2014

This study verified a hypothesis "treatment circumstance that considers character of children with autism has an effect on emotion stability", and I set the final aim to suggest emotional design elements according to treatment program and also to construct basic data about study of treatment circumstance of children with autism. So I conduct a survey of teachers of nine centers for the disabled about "satisfaction about treatment circumstance, importance of design elements of treatment circumstance that increase children's with autism stability, sensibility estimation about treatment circumstance" and committed statistical analysis. As the results, emotional design elements that have to be improved are the wall finishing material, the color of the wall, and the artificial lighting. The color of the wall has an effect on importance of treatment circumstance and emotional design elements influence 47% to satisfaction of treatment circumstance. It get the positive result about the hypothesis "treatment circumstance that considers character of children with autism has an effect on emotion stability".

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.99-111
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• 2007

In order to identify tactile sensibility factors of traditional silk fabrics and to provide prediction models for the sensibility factors by mechanical properties, seventeen different traditional silk fabrics were evaluated in terms of both tactile sensation and sensibility by using a modified magnitude estimation line scale Gongdan and Newttong with lower values for surface roughness(SMD), bending rigidity(B), and compression resilience(RC) were rated as softer, smoother, fluffier, and more pliable in tactile sensation than any other traditional silk fabrics whereas Nobangju haying higher B, SMD, and tensile resilience(RT) was touched as crisper, more rustling, and springier. Three different tactile sensibility factors including 'Feminine', 'Natural', and 'Casual' were obtained significantly by grouping fifteen different tactile sensibility descriptors. In the prediction models sensibility 'Feminine' was explained positively by SMD, which was supported by the fact that both Gongdan and Newtton were perceived as more feminine. Sensibility 'Natural' that was felt stronger as for Myoungju and Sa was predicted negatively by both fabric thickness(T) and RT. Finally, RC, elongation at maximum load (EM), and T predicted sensibility 'Casual' negatively, which results in its higher factor scores for Myoungju and Shantung, respectively.

• 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.