• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.31-40
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• 2017

This research aims to investigate 'Hallyu' contents consumption tendency of consumers from Korea, Japan, and the United States by analyzing their emotional responses. With the development of social media, research on emotion analysis by reviewing text materials has grown. Whereas environmental variables affect consumer demand towards 'Hallyu' contents, little comparative analyses have been conducted on the emotional responses of consumers from different countries. In this research, the emotional prototype model proposed by Russell(1980) used to extract and distinguish emotional words to clarify how people in the three countries differently perceive the Korean drama "Goblin". First of all, the SNS reviews were collected during a two-month period (February 12 to April 12). Second, significant factors were identified in the collected data according to Russell's emotion model. Third, random forest was applied to organize the selected variables in the order of variable importance. Fourth, the correlations among the emotional words were compared. Lastly, the accuracy of the trained model was measured using the test dataset. The results show that "Happy" was found to be the greatest factor in Korea and in the United States and "Pleased" in Japan. Emotional words correlations showed that when watching the drama "Goblin", "passive unpleasure" was the main factor associated with individual's interest in Korea whereas "passive pleasure" was associated with individual's interest in Japan and in the United States. Based on the results, this research suggests the possibility of developing evaluation guidelines for emotional responses of different countries towards 'Hallyu' contents.

• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.33-44
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• 2022

Rental services have recently come to be provided in which people can experience traditional Korean culture in the form of Hanok villages, allowing everyone can easily rent and wear hanbok, a traditional Korean garment, regardless of gender and age. Users of hanbok rental services share photos of themselves wearing hanbok on social media, contributing to the increasing popularity of hanbok experiences. However, the trend of wearing hanbok has no become established in people's daily lives, apart from the specific places that offer hanbok experiences. To promote hanbok as everyday clothes, hanbok design should be developed to provide wearers with both convenience and emotional satisfaction. Using 28 emotion words that express consumers' emotions toward hanbok that were extracted from previous studies, this study measured consumers' emotions toward different types of hanbok with on a seven-point Likert scale. Emotion words and categories that obtained scores of five points or above, signifying a rating of "felt fairly" or higher in relation to specific hanbok types were extracted. This study also examined differences in the average scores for emotional categories according to hanbok types and gender. The results indicated that only average scores for the "favorable feeling" category showed a significant difference between men and women. Finally, differences in the average scores for emotional categories were examined by classifying hanbok types: traditional (e.g., baenaet-jeogori, saekdong-jeogori, traditional hanbok for adults, and traditional wedding clothes) and modern (e.g., daily hanbok for children, for women, and for men). The results indicated significant differences between traditional and modern hanbok in six emotional categories (i.e., the cheerful, esthetic, harmonious, fresh, favorable, and stable feeling). This study derived analytic results for terms related to emotions that hanbok wearers feel according to types of hanbok. The findings can be used by hanbok retailers and rental services to provide consumers with greater emotional satisfaction.

• Korean Journal of Cognitive Science
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• v.15 no.2
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• pp.1-15
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• 2004

The structure of sensibility from motion was developed for the purpose of understanding relationship between sensibilities and physical factors to apply it to dynamic visual display. Seventy adjectives were collected by assessing adequacy to express sensibilities from motion and reporting sensibilities recalled from dynamic displays with achromatic color. Various motion displays with a moving single dot were rated according to the degree of sensibility corresponding to each adjective, on the basis of the Semantic Differential (SD) method. The results of assessment were analyzed by means of the factor analysis to reduce 70 words into 19 fundamental sensibilities from motion. The Multidimensional Scaling (MDS) technique constructed the sensibility space in motion, in which 19 sensibilities were scattered with two dimensions, active-passive and bright-dark Motion types systemically varied in kinematic factors were placed on the two-dimensional space of motion sensibility, in order to analyze important variables affecting sensibility from motion. Patterns of placement indicate that speed and both of cycle and amplitude in trajectories tend to partially determine sensibility. Although color and motion affected sensibility according to the in dimensions, it seemed that combination of motion and color made each have dominant effect individually in a certain sensibility dimension, motion to active-passive and color to bright-dark.

• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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• pp.103-111
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• 2005

Since the Industrial Revolution in the 18th century, the production system adopted mechanization and mass production to popularize and standardize overall society. The architectural space removed basic desire of men on the decoration to neglect historical and regional continuity of the architecture and to make uniform designs, so that human sensibility and emotion were excluded. The architectural space had arbitrary and functionalism features in accordance with such a social change to display abstract space having no personality. The limitation expanded value of the space that was not lot possession and residence but for communication with men to express object factors. However, the object factors of the space were expressed in each factor consisting of either material factors or non-material factors. This study investigated interaction of the space by both expressive interaction and potential interaction to find out key words for making frames of the investigation and to examine cases comprehensively. The purpose of the study was to recover relations between the space and men in horizontal way and mutual communication and to present possibility integrating men and space.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1779-1792
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• 2009

Now, the goal of the third generation KTX project is to create a new species of high speed train in order to open a new era of high speed railway system in history by authentic Korean technology and innovative design. Now the third generation KTX, must go beyond the original stagnant paradigm and be positioned as an emotional resource which is creating a shift in the public's perspective of transportation and expanding the idea that transportation intersects the two distinct realms of culture and environment as well. In addition, the overall design should reflect the Korean culture and characteristics, simple yet resonant, both the interior space and the exterior fuselage should portray the dynamic heritage of Korea such as the powerful yet subdued energy of Jung Joong Dong. In short, through the symbolic key words in Korean, Dong(Dynamics), Mek(Pulse), Ryu(Flow), Gam(Sensibility), the third generation KTX design project aims to create an new identity of Korean high speed railway which can stand globally.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.47-60
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• 2010

Most of the researches about classification usually have used kNN(k-Nearest Neighbor), SVM(Support Vector Machine), which are known as learn-based model, and Bayesian classifier, NNA(Neural Network Algorithm), which are known as statistics-based methods. However, there are some limitations of space and time when classifying so many web pages in recent internet. Moreover, most studies of classification are using uni-gram feature representation which is not good to represent real meaning of words. In case of Korean web page classification, there are some problems because of korean words property that the words have multiple meanings(polysemy). For these reasons, LSA(Latent Semantic Analysis) is proposed to classify well in these environment(large data set and words' polysemy). LSA uses SVD(Singular Value Decomposition) which decomposes the original term-document matrix to three different matrices and reduces their dimension. From this SVD's work, it is possible to create new low-level semantic space for representing vectors, which can make classification efficient and analyze latent meaning of words or document(or web pages). Although LSA is good at classification, it has some drawbacks in classification. As SVD reduces dimensions of matrix and creates new semantic space, it doesn't consider which dimensions discriminate vectors well but it does consider which dimensions represent vectors well. It is a reason why LSA doesn't improve performance of classification as expectation. In this paper, we propose new LSA which selects optimal dimensions to discriminate and represent vectors well as minimizing drawbacks and improving performance. This method that we propose shows better and more stable performance than other LSAs' in low-dimension space. In addition, we derive more improvement in classification as creating and selecting features by reducing stopwords and weighting specific values to them statistically.

• Science of Emotion and Sensibility
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• v.8 no.1
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• pp.17-28
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• 2005

With the advent of computer technology, the fundamental nature of products has shaped from physical forms towards product interactivity, The focus is now on usability of the product with ease and efficiency rather than conversing with just the looks of the product. However, most definitions of usability and contemporary usability-related researches, have focused on the performance-oriented functional aspects of usability (i.e., how well users perform tasks using a product). Today, user expectations are higher; products that bring not only functional benefits but also emotional satisfaction. So far, there have been many studies on human emotions and the emotional side of products in the field of emotional engineering. Contemporary emotion-related researches have focused mainly on the relationship between product aesthetics and the emotional responses elicited by the products, but little is known about emotions elicited from using the products. The main objective of our research is analyzing user's emotional changes while using a product, to reveal the influence of usability on human emotions. In this research, we suggested conceptual framework for the study on the relationship between usability of products, and human emotions with emphasis on mobile phones. We also extracted emotional words for measuring user's emotions expressed not from looking at the product's appearance, but from using the product. First, we assembled a set of emotions that is sufficiently extensive to represent a general overview of the full repertoire of Korean emotions from the literature study. Secondly, we found emotional words in the after note by the users on the websites. Finally, verbal protocols in which the user says out loud what he/she ks feeling while he/she ks carrying out a task were collected. And then, the appropriateness of extracted emotional words was verified by the members of the consumer panel of a company through web survey. It is expected that emotional words extracted in this research will be used to measure user's emotional changes while using a product. Based on the conceptual framework suggested in this research, basic guidelines on interface design methods that reflect user's emotions will be illustrated.

• Science of Emotion and Sensibility
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• v.18 no.1
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• pp.103-110
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• 2015

Sentiment lexicon is an essential element for expressing sentiment on a text or recognizing sentiment from a text. We propose a graph-based semi-supervised learning method to construct a sentiment dictionary as sentiment lexicon set. In particular, we focus on the construction of domain-specific sentiment dictionary. The proposed method makes up a graph according to lexicons and proximity among lexicons, and sentiments of some lexicons which already know their sentiment values are propagated throughout all of the lexicons on the graph. There are two typical types of the sentiment lexicon, sentiment words and sentiment phrase, and we construct a sentiment dictionary by creating each graph of them and infer sentiment of all sentiment lexicons. In order to verify our proposed method, we constructed a sentiment dictionary specific to the movie domain, and conducted sentiment classification experiments with it. As a result, it have been shown that the classification performance using the sentiment dictionary is better than the other using typical general-purpose sentiment dictionary.

• Journal of the Korean Home Economics Association
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• v.41 no.10 s.188
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• pp.185-198
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• 2003

Fashion is a field that responds sensitively to social and cultural atmospheres, brings about constant change due to consumer demand for new items in new fashion trends and in the latest design. The fashion industry tries to predict what kind of clothing the customers desires and produces fashion products according to trend information stated by fashion information services. This research analyses the relativity between the trends stated in the fashion information books and what consumer accept, and with this information find the application of trend information books in the planning of domestic woman's clothing. The used information books were based on Samsung Fashion Institute and Interfashion Planning, Inc. The 02/03 F/W season emphasized restoration-romantic, nostalgic mood themes. Fashion trend information and consumer acceptance condition tend to concentrate on trend themes given tv fashion information companies. In other words, $Sincere\;girl(39.04\%){\to}Frontier\;girl(34.92\%){\to}Dark\;lady(18.43\%){\to}Lady\;belle(7.59\%)$ in this order Also when looking into the consumer's wearing, no one theme appears by itself and the themes are mixed accordingly to one's lifestyle and sensibility. Accordingly fashion information organizations must provide precise fashion trends according to consumer sensibility & consumption and also compare trend information to consumer fashion trends each season. With this precise information the planned design plans will help the domestic fashion markets, which are gradually overrun by foreign brands, develop a unique and original fashion product that meets consumer sensitivity needs, and develop a new stepping stone for fashion companies and the relative fashion industry and furthermore contribute to the advancement of overseas markets.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.293-300
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• 2011

The CGI(Computer-generated Image) techniques provide designers with an effective means of creating design artifacts in an automatic way. It has been pointed that two important activities while applying the CGI techniques are both image generation and managemental issues for the generated images. By applying automatic generation techniques for creation of images, designers can acquire benefits in that they can produce free style results in a simple way. Along with such benefits, it is also important for designer to identify and to establish well defined mechanisms for storing vast quantity of auto-generated CGIs. However, it is problematic to assign key-words and to classify abstract images mainly because they lack an analogy of the real world entities. This paper presents classification scheme for the abstract CGIs by applying classification and description criteria from the viewpoint of both design elements and emotional elements. Effective classification and specification can help designers build and retrieve desired images in an easy way, and make management process more simple and effective.