• Science of Emotion and Sensibility
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• v.5 no.3
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• pp.39-46
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• 2002

The purpose of this study was to examine the effects of sensation and sensibility from the rusting sound of silk fabrics. The mechanical properties and sound parameters were measured after recording the rusting sounds of 7 silk fabrics. Then, their relationships were analyzed through the evaluation of subjective sensation and sensibility and found a regression model for the sensibility from the mechanical properties. The adjectives of the sensibility were grouped into four: Elegant, Active, Tough, Modern. Soft and flexible fabrics were related with LPT negatively and induced elegant sensibility. And fabrics of the smoother and less changable to shear direction were related with LPT and Δf, and positively, and occurred active sensibility. On the other hands, rough, bulky, thick, and heavy fabrics were related with ARC and Δf, and induced with tough or modern sensibilities. About the sensibilities according to each fabric, STN8 was the most elegant, STN8-S was the most active, and TWL16 and STN16-N were the toughest.

• Science of Emotion and Sensibility
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• v.13 no.2
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• pp.403-412
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• 2010

This study was aimed to consider the influence of hue-tone, dyes, and mordants of naturally dyed silk fabric on color sensibility image factors and to establish color sensibility image scales of naturally dyed silk fabric by color and image descriptors. By single or sequential dyeing with various natural dyes commercially available in domestic and foreign market on the same silk fabric, a total of 66 colored fabric stimuli were prepared and they were used to evaluate subjective color sensibility image by 40 participants. As results, four different color sensibility image factors for naturally dyed silk fabric, 'delight', 'natural', 'modern' and 'attractive' were extracted. All of factors were significantly influenced by hue-tone, dyes, and mordants. Furthermore, by using color sensibility image adjectives and colors, multidimensional image scales were established, which leads to the conclusions that the results of this study help to design color sensibility-oriented naturally dyed fabric and apparel products.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.385-391
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• 2005

A frictional coefficients of in-vivo skin characteristic is the most important factor of the cutaneous mechanical properties ant the method of evaluating skin care in the fields of cosmetics products. In-vivo skin characteristic varies in many different ways depends on what is applied to the skin, loading condition, shape, surface roughness, and material of the probe. In this research, we designed a system which can be measured frictional coefficients of a human skin on real time. It consists of multi-components load-cell, actuator, linear motor and arm fixator. This measurement system was automatically controlled by computer. We measured frictional coefficients between probe an4 skin using this system ant inquired adjectives for subjective evaluation while rubbing cosmetic product on skin. Lastly, we analyzed correlation between two factors by calculating Pearson Correlation Coefficient. As a result, we could know that frictional coefficients varied from 0.17-1.2 according to cosmetic products, normal forte, materials and surface conditions of probe. We also confirmed sensual feelings of cosmetic products have close correlation with frictional coefficients.

• Smart Media Journal
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• v.5 no.1
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• pp.61-68
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• 2016

According to increasing SNS users and developing smart devices like smart phone and tablet PC recently, many techniques to classify user emotions with social network information are researching briskly. The use emotion classification stands for distinguishing its emotion with text and images listed on his/her SNS. This paper suggests a method to classify user emotions through sampling a value of a representative figure on a trigonometrical function, a representative adjective on text, and a canny algorithm on images. The sampling representative adjective on text is selected as one of high frequency in the samplings and measured values of positive-negative by SentiWordNet. Figures sampled on images are selected as the representative in figures; triangle, quadrangle, and circle as well as classified user emotions by measuring pleasure-unpleased values as a type of figures and inclines. Finally, this is re-defined as x-y graph that represents pleasure-unpleased and positive-negative values with wheel of emotions by Plutchik. Also, we are anticipating for applying user-customized service through classifying user emotions on wheel of emotions by Plutchik that is redefined the representative adjectives and figures.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.4
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• pp.83-104
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• 2015

This study intends to provide guidance for library design and assessment by eliciting the emotional vocabulary related to academic library space. In order to accomplish the goal of this study, 12 major emotional vocabularies related to academic library space were derived through 5 stages of extraction and refinement processes. Literature search and analysis of preceding research, focus group interview and survey of academic librarians and users of the academic library, evaluation of similarity through KJ Method, etc., selected 12 adjectives of emotional vocabulary as follows: diverse, satisfactory, necessary, full, clean, stable, appropriate, harmonious, open, warm, natural, and excellent.

• Science of Emotion and Sensibility
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• v.5 no.1
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• pp.25-32
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• 2002

This paper aimed to identify the sensation and the sensibility of transformed colors from the rustling sound of silk fabrics and to visualize the relationship between sensibilities and fabrics by two-dimensional model. The rustling sounds of 7 silk fabrics were recorded and then the recorded sounds were transformed into colors by the program of sound to color transformation. The sensation and the sensibility of transformed colors were evaluated by 30 participants with Likert scale and the physical properties of each specimen were obtained with red portion (RP), green portion (GP), blue portion (BP), and sum of color count (CC) by means of new equation. The adjectives of sensibility were grouped into three groups: Elegant, Active, and Tough. Elegant was related with RP positively and CC negatively. On the other hand, Active was related with GP and CC positively. Also Tough was highly related with RP. Furthermore, the fabrics that were estimated the high purchase preference showed high CC, RP and GP. Also two dimensional model of relation of the sensation and the sensibility could help to understand those relation.

• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.77-94
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• 2022

Social interactions often involve encountering inconsistent information about social others. We conducted a functional magnetic resonance imaging (fMRI) study to comprehensively investigate voxel-wise temporal dynamics showing how impressions are anchored and/or adjusted in response to inconsistent social information. The participants performed a social impression task inside an fMRI scanner in which they were shown a male face, together with a series of four adjectives that described the depicted person's personality traits, successively presented beneath the image of the face. Participants were asked to rate their impressions of the person at the end of each trial on a scale of 1 to 8 (where 1 is most negative and 8 is most positive). We established two hypothetical models that represented two temporal patterns of voxel activity: Model 1 featured decreasing patterns of activity towards the end of each trial, anchoring impressions to initially presented information, and Model 2 showed increasing patterns of activity toward the end of each trial, where impressions were being adjusted using new and inconsistent information. Our data-driven model fitting analyses showed that the temporal activity patterns of voxels within the ventral anterior cingulate cortex, medial orbitofrontal cortex, posterior cingulate cortex, amygdala, and fusiform gyrus fit Model 1 (i.e., they were more involved in anchoring first impressions) better than they did Model 2 (i.e., showing impression adjustment). Conversely, voxel-wise neural activity within dorsal ACC and lateral OFC fit Model 2 better than it did Model 1, as it was more likely to be involved in processing new, inconsistent information and adjusting impressions in response. Our novel approach to model fitting analysis replicated previous impression-related neuroscientific findings, furthering the understanding of neural and temporal dynamics of impression processing, particularly with reference to functionally segmenting each region of interest based on relative involvement in impression anchoring as opposed to adjustment.

• Science of Emotion and Sensibility
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• v.18 no.1
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• pp.79-94
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• 2015

The purpose of this study is to analyze the emotion and sensibility of fashion words in terms of words types, such as loanword and Korean words, Hangul in fashion product label and fashion manufacturing industry. We surveyed 200 persons in their 20s using the questionnaire on the stimulus of product tag label and fashion words with 15 adjectives. Based on daily usage of foreign words in fashion market, we selected 1 item label in 3 forms: 1) Hangul label written in loan words 2) Label written in English and 3) Label written in Hangul and 3 fashion words in 2 forms 1) loanword and 2) Hangul. And the label types and fashion words were analyzed and investigated in terms of consumer's sensibility, preferences and estimated product price. The results are following: consumers preferred loanword label than Hangul label, and they preferred loanword in English than that in Korean. They evaluated loanword more positively, such as refinement, gorgeous and elegant, etc. and estimated the product price of loanword label as higher. But in the sensibility of 'familiar' and 'stability', Hangul label was not significantly different to loanword written in Hangul. That is, label written in English is the highest in all the evaluation, and loanword label written in Hangul is next, and Hangul label showed the lowest result. Consumers showed the evaluation differently between loanwords and Hangul according to their degree in fashion involvement. Consumers of high fashion involvement evaluated the sensibilities of 'refinement', 'elegant', and 'gorgeous' of loanwords as higher, whereas they had tendency to evaluate the sensibilities of 'familiar' and 'stability' of Hangul as higher or similar.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.207-220
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• 2011

The purpose of this study is to investigate sensibility words related with eco-friendly in the two media fashion magazines and internet newspapers and to analysis their appearance frequency and changes by the year through 1999~2010. Most frequently used words are 'nature, eco, cotton, natural fiber, health, fresh, clear, preservation, harmony, com fiber, and Lohas'. The words are divided in 4 groups: 'Nature/Environment, Material/Fiber, Human, and Adjectives/Micell'. A point of appearing time is analyzed: 'ecology, memory-shape material, organic, spa' were used before 2000, 'nature environment, eco-friendly, stretch material, wellbeing, substitute, recycling' were in 2000-2001, 'smart material, eco material, green' in 2002-2003, 'coolbiz, Lohas, natural dye' in 2004-2005, 'herb medicine, sustainable, warmbiz' in 2006-2007, 'greensumer, greenlife, solar energy, forest bath' in 2008-2009. Looking into their changes, in early 2000, the words of eco-friendly emotion and sensibility had appeared frequently relatively, but later on they decreased, and again recently increased showing highest appearing frequency. 'Nature/Environment' words have appeared recently very much, while 'Human' sensibility words have not changed much or decreased a little. 'Adjective/Micell' words has increased little bit recently. 'Material/Fiber' words showed decrease at fashion magazine, while they increased at the pages of internet news.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.251-258
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• 2010

'Naturalness' is the important "ness" which is a key factor in image quality assessment. 'Naturalness' is a representive factor depending on the context of the image which arouses different emotions. The Image Quality Circle was split into two steps. The first step is predicting the visual perceptual attribute which are lightness, colourfulness, hue and contrast. The next step is SSE which is dependent to image contents. In this study the image contents are grouped in genres. The images were rendered using four different colour attributes which are lightness, contrast, colourfulness and hue. Using a scale, the score of image quality and SSE was asked to each participant for all rendered images. A seven-point category scale of increasing amount of "ness" is used as a quantitative adjectives sequence. The image quality model was built by combining the SSEs for each scene. The SSEs, where vividness is common, are considered as independent variables to predict the image quality score. Then the vividness model was built using colour attributes as variables to predict the vividness of each scene (genre). Vividness is an important factor of naturalness which the meaning is different for all scenes that links the naturalness and image quality. The vividness meaning was different for each scene (genre). Therefore, the colour attributes that express the vividness would depend on the image content.