• Science of Emotion and Sensibility
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• v.18 no.1
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• pp.67-78
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• 2015

This study investigated whether people experience a correspondence between color hue-tone and the main characters' emotions in the 2012 British musical drama film, Les $Mis\grave{e}rables$ through three practical experiments. Six screen images, which represent the characters' different emotions (Parrot's six primary types including love, joy, surprise, anger, sadness, and fear) were selected. For each screen image, participants were asked to judge the degree of the character's dominant emotions evoked from 17 varied screen images, which consisted of original chromatic and achromatized images as well as 15 color-filtered images (5 hues X 3 tones of the IRI color system). These tasks revealed that a chromatic color scheme is more effective to deliver the characters' positive emotions (i.e. love and joy) than an achromatic one. In addition, they proved that the hue and tone dimensions partially influence the relationships between the character emotions and colors.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.113-120
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• 2016

People use social media platforms such as Twitter to leave traces of their personal thoughts and opinions. In other words, social media platforms retain the emotions of the people as it is, and accurately understanding the emotions of the people through social media will be used as a significant index for disaster management. In this research, emotion type modeling method and emotional quotient quantification method will be proposed to understand the emotions present in social media platforms. Emotion types are primarily analyzed based on 3 major emotions of affirmation, caution, and observation. Then, in order to understand the public's emotional progress according to the progress of disaster or accident and government response in detail, negative emotions are broken down into anxiety, seriousness, sadness, and complaint to enhance the analysis. Ultimately, positive emotions are further broken down into 3 more emotions, and Russell emotion model was used as a reference to develop a model of 8 primary emotions in order to acquire an overall understanding of the public's emotions. Then, the emotional quotient of each emotion was quantified. Based on the results, overall emotional status of the public is monitored, and in the event of a disaster, the public's emotional fluctuation rate could be quantitatively observed.

• Journal of Oriental Neuropsychiatry
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• v.31 no.4
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• pp.249-258
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• 2020

Objectives: S-HTP is a projective test of cognitive activity. The purpose of this study was to examine the response characteristics in the S-HTP test as they related to seven emotions and cognitive processes. Methods: 153 students underwent S-HTP testing. 10 students were excluded and a total of 143 students' data was used for the study. 143 students were classified into four groups by SCAT. A survey was conducted on seven emotions and cognitive processes painting the Whole picture, house, tree, and person, and after receiving IRB review exemption, the chi-square test was conducted to check homogeneity of the groups by gender and age. Finally, frequency analysis by constitution for each item was conducted. Results: The reaction characteristics of S-HTP, focusing on the seven emotions and cognitive processes detailed by Korean Medicine, are as follows: 1. The primary sentiment while drawing during S-HTP was 'Joy (hui)' followed by 'Thought (sah)'. 2. The sentiments while painting during the S-HTP test, and the emotions of looking at the picture after the S-HTP test, increased in 'Joy (hui)' and decreased in 'Thought (sah)'. 3. 'Thought (Sah)' was the highest scored process while drawing S-HTP, followed by 'jee (智)'. However, 'ryeo (慮)' was similar to 'jee (智)' in an unclassifiable constitution. Conclusions: The primary characteristics of the S-HTP test response are 'Joy (hui)' and 'Thought (sah)' in emotion, and 'sah (思)' and 'jee (智)' in cognitive processes. Therefore, it is necessary to verify this during the S-HTP test.

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.617-627
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• 2012

Objective: The aim of the study was to develop a most widely used Korean dictionary of emotion expressing idioms. This is anticipated to assist the development of software technology that recognizes and responds to verbally expressed human emotions. Method: Through rigorous and strategic classification processes, idiomatic expressions included in this dictionary have been rated in terms of nine different emotions (i.e., happiness, sadness, fear, anger, surprise, disgust, interest, boredom, and pain) for meaning and intensity associated with each expression. Result: The Korean dictionary of emotion expression idioms included 427 expressions, with approximately two thirds classified as 'happiness'(n=96), 'sadness'(n=96), and 'anger'(n=90) emotions. Conclusion: The significance of this study primarily rests in the development of a practical language tool that contains Korean idiomatic expressions of emotions, provision of information on meaning and strength, and identification of idioms connoting two or more emotions. Application: Study findings can be utilized in emotion recognition research, particularly in identifying primary and secondary emotions as well as understanding intensity associated with various idioms used in emotion expressions. In clinical settings, information provided from this research may also enhance helping professionals' competence in verbally communicating patients' emotional needs.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.563-569
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• 2012

The studies of opinion mining or sentiment analysis have been the focus with social web proliferation. Sentiment analysis requires sentiment resources to decide its polarity. In the existing sentiment analysis, they have been built resources designed with intensity of sentiment polarity and decided polarity of opinion using the ones. In this paper, I will present sentiment categories for not only polarity of opinion but also the basis of positive/negative opinion. I will define psychological emotions to primary sentiments for the reasonable classification. And I will extract the informations of sentiment from social web texts for the actual distribution of sentiments in social web. Re-classifying primary sentiments based on extracted sentiment information, I will organize sentiment categories for the social web. In this paper, I will present 23 categories of sentiment by using proposed method.

• Journal of Korean society of Dental Hygiene
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• v.13 no.1
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• pp.45-60
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• 2013

Objectives : The number of North Korean refugees is remarkably increasing nowadays and there are many social and cultural issues related to their settlements in Korea. Stereotyping of group is generally unique and has influences on emotions and behaviors. The aim of this study was to investigate the relationship among stereotyping, emotion and service behavior of South Korean dentist towards North Korean refugee. Methods : Questionnaires for stereotyping, emotions and service behaviors were devised based on previous researches. Two-hundred and eighteen Korean dentists were randomly chosen and questionnaires were distributed. Correlation analysis, reliability analysis and primary component analysis were performed. Student t-test and one-way ANOVA were done to elucidate differences according to demographic factors. To examine the relationship among constructs, regression analysis was performed. Results : Stereotyping, emotions, and service behaviors are significantly related each other construct. South Korean dentists' stereotyping and emotions toward North Korean refugees are significantly different from those toward South Korean but service behavioral intentions were not different according to any demographic factor. Conclusions : The results imply that more contacts and education system are necessary to South Korean dentists to change their negative stereotyping and emotions toward North Korean refugees although their service behaviors are not affected at the moment.

• Journal of Contemporary Eastern Asia
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• v.21 no.2
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• pp.13-26
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• 2022

This study explores the following research question to address issues linked to emotions, identity, and institutions: how has the cult (institution) of the three Kims affected North Koreans' strong sense of nationalism (emotion), which is based on their Juche ideology (identity)? This paper investigates four fundamental elements of historical institutionalism: time boundedness, path dependency, institutional changes, and the shadow of the past. First, time boundedness illustrates how culture and education have been used to build trust and loyalty in the general public to construct individual and family cults. Second, path dependence reveals how the Songbun system has resulted in strong nationalism throughout Rodongdang's institutionalization. Third, institutional changes highlight the significance of age divides, as different age groups do not always support the three Kims' cult. Finally, the shadow of the past helps us understand the primary processes for generating mass ardent nationalism in the form of powerful impulses for self-sacrifice.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.503-516
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• 2012

According to the researches of robot and software agent until now, computational emotion model is dependent on system, so it is hard task that emotion models is separated from existing systems and then recycled into new systems. Therefore, I introduce the Engine of computational Emotion model (shall hereafter appear as EE) to integrate with any robots or agents. This is the engine, ie a software for independent form from inputs and outputs, so the EE is Emotion Generation to control only generation and processing of emotions without both phases of Inputs(Perception) and Outputs(Expression). The EE can be interfaced with any inputs and outputs, and produce emotions from not only emotion itself but also personality and emotions of person. In addition, the EE can be existed in any robot or agent by a kind of software library, or be used as a separate system to communicate. In EE, emotions is the Primary Emotions, ie Joy, Surprise, Disgust, Fear, Sadness, and Anger. It is vector that consist of string and coefficient about emotion, and EE receives this vectors from input interface and then sends its to output interface. In EE, each emotions are connected to lists of emotional experiences, and the lists consisted of string and coefficient of each emotional experiences are used to generate and process emotional states. The emotional experiences are consisted of emotion vocabulary understanding various emotional experiences of human. This study EE is available to use to make interaction products to response the appropriate reaction of human emotions. The significance of the study is on development of a system to induce that person feel that product has your sympathy. Therefore, the EE can help give an efficient service of emotional sympathy to products of HRI, HCI area.

• Journal of The Korean Association For Science Education
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• v.36 no.2
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• pp.231-251
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• 2016

The goal of the study was to examine pre-service teachers' emotional experiences, especially during student teaching. The following questions guided this study. First, during student teaching, what are the characteristics of emotional experiences of pre-service science teachers? Second, what are used as the emotional rules and strategies by student teacher? In this study, we tracked nine pre-service science teachers over a four-week period of the student teaching. The data sources were lesson observations, interviews, emotional journals, and video-recorded classroom lessons. Results showed that student teachers experienced various 25 different types of emotions which were reported as the primary emotions of Koreans. The main subjects for interaction for positive emotions were students. For negative emotions, students, teachers and student teachers themselves all resulted in such negative emotional experiences. When the student teachers experienced negative emotions, they followed the emotional rule that their emotions should not be expressed in front of the students. Because of this, they tried various strategies for controlling emotions, such as 'understanding students', 'finding the positive side', 'seeing good students', 'ignoring', 'holding back', 'evading', and 'giving up'. Finally, suggestions for teacher education were discussed.

• Journal of Sasang Constitutional Medicine
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• v.30 no.1
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• pp.7-13
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• 2018

Objectives On the point of modern preventive medicine, Sasang Constitutional Meidicine(SCM) has the thoughts of preventive medicine. Modern preventive medicine has the three dimensional prevention; primary, secondary and tertiary prevention. The preventive thoughts of SCM concerning three dimensional prevention have been investigated in this article. Method Materials and references were collected about the prevention of SCM. Lee Jema's books such as Donguisusebowon, Gyeokchigo and Donguisusebowon Chobonguen were included. Result and Conclusions As the primary prevention of SCM, Regimen according to ages, explanation according to health index as Myeongmaeksilsu(命脈實數), moderation of four ruinous causes such as intoxication, seduction, opulence and authority, adequate social life and control of 4 kinds of emotions(sorrow, anger, joy and pleasure) are included. As the secondary prevention of SCM, explanation according to disease index, fragile Organs and frequently acquired diseases according to constitutions are included. As the tertiary prevention of SCM, rehabilitation for the stroke patients according to constitutions is included. In conclusion, SCM has all of 3 dimensional prevention methods although that might be applied with modern considerate modification.