• Korean Journal of Cognitive Science
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• v.23 no.1
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• pp.97-107
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• 2012

Previous studies on opinion mining and sentiment analysis have supposed that the polarity and value of an emotional word is reversed when a negation word is attached. However, there are no quantitative studies on how much the polarity is changed when a negation word is following. Therefore, we measured the valence and arousal dimensions for Korean emotional words and their negations. Consequently, the polarity of valence and arousal was reversed on their intermediate level. Also, the value was reduced by about 30% to 50%. We propose this result as a guideline for processing negation words for studies on opinion mining and sentiment analysis.

• 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.

• Archives of design research
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• v.14 no.4
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• pp.5-14
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• 2001

Among Human Sensibility-oriented products a gap between the images that designers try to express through that product and users emotional evaluation becomes an issue. The data on the correlation between image words used for design evaluation and images used in the design process are especially significant. This study based on these correlations suggests a Fuzzy retrieval system supporting styling design with images and image words. In the system, the relational data are demonstrated by Fuzzy thesaurus as correlation coefficient from the degree of similarity among image words. And the degree of similarity is produced based on image evaluation. Image retrieval is conducted by the algorithm of Fuzzy thesaurus development, 1) among image words, 2) images to image words, 3) image words to images and 4) among images: 4 different modes are provided as retrieval modes. Also transfer between modes is carried by direct operating interface, therefore divergent thinking and convergent thinking is supported well. The system consists of operation for the gap and the measurement unit of emotional evaluation, and visualization units. Under unified interface environments are set in order for consistency of the operation.

• Korean Institute of Interior Design Journal
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• v.21 no.5
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• pp.181-188
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• 2012

Body movements of humans have emotions and these movements have meanings of 'Living Spirits' and 'Emotions'. Also emotions of humans indicate all body movements which are made within the environment. This study aims at providing new potentials to emotional design research methods not only by understanding the characteristics of visual perception according to body movements and but by investigating correlations between sequence which arise by the visual perception and emotions through experiments. As for the scope and method of this study, the emotional space designs were analyzed through the emotional theory study, SD method was used to evaluate emotions and the movements in the modern village and traditional village with similar elements were compared and analyzed for the empirical study. As a result, first it was confirmed waling hours in the traditional village took more than the modern village and it is thought movements of humans are affected by the visual environments. Second, it was confirmed values of the emotional evaluation were higher in the traditional village than the modern village. Third, according to a result of the correlation analysis between space sequence and emotions, it was closed with negative emotions such as 'Closed', and 'Complicated' from positive emotional words such as 'Natural'. 'Open', 'Curious', etc. as spaces are experienced more through movements in the modern village. On the contrary, the emotional intensity of the positive words such as 'In Harmony', 'Beautiful' and 'Warn' through movements in the traditional village increased as spaces were experienced more. As a result of this study, it was confirmed the time, space and emotions have correlations each other.

• Smart Media Journal
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• v.7 no.3
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• pp.43-50
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• 2018

Hanok (a traditional Korean-style house) has recently become a popular attraction for tourists all over the world. Jeonju Hanok Village, for example, attracted about 10 million visitors for 2 consecutive years. Observing Hanok's popularity, many local governments drew up plans to improve tourism dynamics by strengthening the advantages of Hanok. Emotionally rich experience is required to offer a greater satisfying experience that meets the demands of tourists. However, very few studies yet have addressed how to measure those emotions felt by users while experiencing Hanok. As an attempt to improve this situation, 182 emotional words were collected from earlier studies and classified into 33 groups with the Delphi method. Among the emotional words in each of the 33 groups, those of overlapping concepts on the characteristics of Hanok were re-grouped, and extracted the most appropriate 68 words. Additionally, a survey was conducted with 325 people who had experienced Hanok to gather 30-most representative emotions for measuring emotions felt from Hanok. The factor analysis of the 30 representative emotions resulted in classified 6 factors based on common features of emotional words: senses of aesthetics, happiness, novelty, ownership, balance and relaxation. The 30 representative emotions and six emotion categories found out by this study can help measure how much people feel certain emotions while experiencing hanoks. Further study will explore the degree of emotions hanok users feel about objects of hanok, such as roof materials and shapes, and body shapes.

• 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.

• The Journal of Information Systems
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• v.27 no.2
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• pp.77-94
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• 2018

Purpose As the amount of data became enormous, it became a time when more efforts were needed to find the necessary information. Curation is a new term similarly to the museum curator, which is a service that helps people to collect, share, and value the contents of the Internet. In SNS, hash tag is used for emotional vocabulary to be transmitted between users by using (#) tag. Design/methodology/approach As the amount of data became enormous, it became a time when more efforts were needed to find the necessary information. Curation is a new term similarly to the museum curator, which is a service that helps people to collect, share, and value the contents of the Internet. In SNS, hash tag is used for emotional vocabulary to be transmitted between users by using (#) tag. Findings This study base on seven emotional sets such as 'Happy', 'Angry', 'Sad', 'Bad', 'Fearful', 'Surprised', 'Disgusted' to construct 327 emotional seeds and utilize the autofill function of web browser to collect 1.5 million emotional words from emotional seeds. The emotional dictionary of this study is considered to be meaningful as a tool to make emotional judgment from unstructured data.

• KIEAE Journal
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• v.15 no.6
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• pp.37-45
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• 2015

This study focuses on the human-centered diversity that is one of the important value in modern society, and the method to apply various demands for architectural space. Human begins pursue new contents and leisurely life all the time and live toward the period of high emotion with personal characteristics. With those social trends, people aggressively request subjects to satisfy their emotional attractiveness as well as comforts and pleasures beyond the functional basic requirements in space. Many studies and projects about emotion have been progressed in the fields of architectural planning and design these days. Purpose: The purpose of this study is to suggest the Multi-Purposed Emotional Space as a new alternative of space renewal that satisfy both functional programs and users emotional demands. Method: For this research, the pervious researches were investigated first to determine essential methodology and terminology to estimate and construct the multi-purposed emotional space. Result: According to survey, the multi-purposed emotional space could finally be classified by emotional words, and the results of experiment were applied for building spaces. By the above process, types of the multi-purposed emotional space and design guidelines could be suggested.

• Speech Sciences
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• v.15 no.1
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• pp.63-72
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• 2008

Various acoustic features were extracted and analyzed to estimate the inter- and intra-speaker variability of emotional speech. Tokens of vowel /a/ from sentences spoken with different modes of emotion (sadness, neutral, happiness, fear and anger) were analyzed. All of the acoustic features (fundamental frequency, spectral slope, HNR, H1-A1 and formant frequency) indicated greater contribution to inter- than intra-speaker variability across all emotions. Each acoustic feature of speech signal showed a different degree of contribution to speaker discrimination in different emotional modes. Sadness and neutral indicated greater speaker discrimination than other emotional modes (happiness, fear, anger in descending order of F-ratio). In other words, the speaker specificity was better represented in sadness and neutral than in happiness, fear and anger with any of the acoustic features.

• Journal of Multimedia Information System
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• v.7 no.2
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• pp.115-124
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• 2020

This paper is a study of deep learning among artificial intelligence technology which has been developing many technologies recently. Especially, I am talking about emotional computing that has been mentioned a lot recently during deep learning. Emotional computing, in other words, is a passive concept that is dominated by people who scientifically analyze human sensibilities and reflect them in product development or system design, and a more active concept that studies how devices and systems understand humans and communicate with people in different modes. This emotional signal extraction, sensitivity, and psychology recognition technology is defined as a technology to process, analyze, and recognize psycho-sensitivity based on micro-small, hyper-sensor technology, and sensitive signals and information that can be sensed by the active movement of the autonomic nervous system caused by human emotional changes in everyday life. Chapter 1 talks about overview and Chapter 2 shows related research. Chapter 3 shows the problems and models of real emotional computing and Chapter 4 shows this paper as a conclusion.