• The Research Journal of the Costume Culture
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• v.23 no.2
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• pp.254-269
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• 2015

The digital technology that has brought about the information revolution acts as the causes of multi-faceted socio-cultural phenomena. The spread of the digital environment and the popularity of the digital devices accelerate the phenomenon or the fusion of culture and technology, and such a phenomenon is no exception in the fashion design. Namely, the combination of fashion design and digital-based technology draws more and more attention; Not only the technology is simply applied to the fashion design, but also it is used as an emotional tool to enhance consumers' satisfaction, while some designs and marketing cases stimulating consumers' emotion are highlighted importantly. This study was aimed at surveying and analyzing the contemporary fashion using the digital technology and thereupon, assessing the characteristics of the emotional representations of technology as well as their aesthetic values. To this end, the theory of 'science of emotion and sensibility' was applied to divide the characteristics of emotional technological expressions in the contemporary fashion into immateriality, non-boundary, multi-media and interaction, while the aesthetic values of the emotional technology immanent in the contemporary fashion were categorized into communication & participation, conceptual configuration, physical expansion and variable movement. This study analyzed uses of technology for human emotion and sensibility shown in not only collections but also communication media and exhibition spaces and thereby, suggested the direction for our fashion industry to fulfill consumers' changing needs and advance further.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.39-39
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• 2004

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.221-228
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• 2002

The NAVER is based on a cluster of low-cost personal computers. The goal of NAVER is to provide flexible, extensible, scalable and re-configurable framework for the diverse virtual environments especially for Gamsung research experiments. Personal computers are divided into three servers are according to their specific functions: Render Server, Device Server and Control Server. While Device Server contains external modules requiring event-based communication for the integration, Control Server contains external modules requiring synchronous communication every frame. And, the Render Server consists of 5 managers: Scenario Manager, Event Manger, Command Manager, Interaction Manager and Sync Manager. In this paper, we discuss NAVER as effective distributed system and its application to Gamsung experiment.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.257-260
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• 2002

The impressions for odors are subjective and have individual differences. In this study, the Impressions of odors were investigated by covariance structure analysis. 46 subjects (men in their twenty) recorded their reactions to ten odorants by grading them on a seven-point scale in terms of twelve adjective pairs. Their reactions were quantified by using factor analysis and covariance structure analysis. The factors were extracted as "preference", "arousal" and "persistency". The subjects were classified into three groups according to the most suitable causal models (structural equation models). Each group had different causal relationship and different impression structure for odors. It was suggested that there is a possibility to evaluate the subjective impression of odor using covariance structure analysis.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.525-530
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• 2011

Emotion is composed of various feelings such as pleasure, sorrow, comfortability, and so on. The complicated process of the measurement has long been recognized as a major hindrance for the studies of emotion. Previously, individuals' emotion has mainly been measured by means of self-report, interview, EEG (electroencephalogram), ECG (electrocardiogram), EOG (electroculography), and body temperature. With thanks to nano/micro technologies, the possibility in the development of emotion-on-a-chip (EOC) has begun to be proposed. EOC will make it possible to analyze one's psychological status by taking a drop of blood. Discovery of emotional biomarkers in body fluids, understanding of the correlation between those biomarkers and the results from brain science are prerequisites to validate the EOC technology. In this paper, paper microfluidics are introduced as a good candidate for the EOC. As paper microfluidics is cost-effective and easy to use it is expected to be a useful device for the emotion measurement. We present the design and fabrication process for the simple paper-based microfluidic device and discuss the possible application in the field of measuring the human emotion.

• Korean Journal of Cognitive Science
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• v.21 no.1
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• pp.157-175
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• 2010

Understanding dialogue participant's emotion is important as well as decoding the explicit message in human communication. It is well known that non-verbal elements are more suitable for conveying speaker's emotions than verbal elements. Written texts, however, contain a variety of linguistic units that express emotions. This study aims at analyzing components for constructing an emotion ontology, that provides us with numerous applications in Human Language Technology. A majority of the previous work in text-based emotion processing focused on the classification of emotions, the construction of a dictionary describing emotion, and the retrieval of those lexica in texts through keyword spotting and/or syntactic parsing techniques. The retrieved or computed emotions based on that process did not show good results in terms of accuracy. Thus, more sophisticate components analysis is proposed and the linguistic factors are introduced in this study. (1) 5 linguistic types of emotion expressions are differentiated in terms of target (verbal/non-verbal) and the method (expressive/descriptive/iconic). The correlations among them as well as their correlation with the non-verbal expressive type are also determined. This characteristic is expected to guarantees more adaptability to our ontology in multi-modal environments. (2) As emotion-related components, this study proposes 24 emotion types, the 5-scale intensity (-2~+2), and the 3-scale polarity (positive/negative/neutral) which can describe a variety of emotions in more detail and in standardized way. (3) We introduce verbal expression-related components, such as 'experiencer', 'description target', 'description method' and 'linguistic features', which can classify and tag appropriately verbal expressions of emotions. (4) Adopting the linguistic tag sets proposed by ISO and TEI and providing the mapping table between our classification of emotions and Plutchik's, our ontology can be easily employed for multilingual processing.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.77-84
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• 2020

This study was to identify the relationship among self-resilience, emotion expressiveness, achievement motivation, and problem-solving ability of nursing students and provide data to increase problem-solving ability for nursing students based on the results. This research involved 229 nursing students in B city. The analyzed by the t-test, ANOVA, Pearson's correlation coefficient using SPSS/WIN 22.0. In results of the study, there were significant differences in problem-solving ability with respect to grade (F=4.021, p=.008), academic level (F=3.791, p=.024), satisfaction of major(F=11.140, p<.001), Accomplishment (F=8.000, p<.001), interpersonal relationship(F=16.944, p<.001). There were positive correlation between problem-solving ability and self-resilience(r=-.532, p<.001), between problem-solving ability and emotion expressiveness(r=.365, p<.001), between problem-solving ability and achievement motivation (r=.694, p<.001). Through this research requires the fellow study to determine the factors affecting problem-solving ability of nursing students.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.240-243
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• 2000

An apparel products retrieval system was proposed in which users can refer to products using Kansei evaluation values. The system adopts relevance feedback using history of the retrieval to learn the tendency of user evaluation. The system is based on a vector space retrieval model using products images expression as semantic scales. The system makes a query from user inputting information and retrieves closest products from the database. Revising algorithms of the difference method. linear multiple regression performed to investigate the effectiveness and criteria of the search. As a result of evaluation of the accuracy, it was found that the linear multiple regression and the neural network models are effective for the retrieval considering the individual Kansei.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.501-510
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• 2009

This study is to establish GUI (graphic user interface) in mobile touch phone for grooming user by using two dimensional emotion model determined by multi-dimensional scale method. The processes conducted in the research were as the followings: First of all, visceral, behavioral, and reflective factors of emotion (Norman, 2002) was defined from investigating the life styles of the Grooming users. Secondly, factor analysis was performed to extract the representative emotional words. In the third step, they were mapped into the two-dimensional emotion model through multi-dimensional scaling. Finally, the mapped emotional words were tried to be related to GUI factors of touch phones and normalizing their relation degree between 0 and 1. This study determined GUI factors significantly related to representative emotions described as special, self-centered, sophisticated, free, passionate, neat for application to mobile touch phone. This study determined the major emotion factors that should be considered the most important while designing the GUI factors.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.1-6
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• 2014

Emotion recognition is defined as that machines automatically recognize human emotions. Because the human emotions is very subjective, it is impossible to measure objectively. Therefore, the goal of emotion recognition is to obtain a measure that is agreed by as many people as possible. Emotion recognition in a image is implemented as the method that matches human emotions to the various features of the image. In the paper, we propose an emotion recognition system using color features of clothing image based on the Kobayashi's image scale. The proposed system stores colors of image scale into a database. And extracted major colors from a input clothing image are compared with those in the database. The proposed system can obtain three emotions maximally. In order to evaluate the system performance 70 observers are tested. The test results shows that recognized emotions of the proposed system are very similar to the observers emotions.