• Sleep Medicine and Psychophysiology
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• v.20 no.2
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• pp.75-81
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• 2013

Objectives: There are a lot of studies that analyze the interaction between the emotion of disgust and the functional brain images using fMRI and PET. But studies using sLORETA (standardized low resolution brain electromagnetic tomography) almost do not exist. The aim of this research is to explore the relationship of the emotion of disgust and the cortical activation using sLORETA analysis. Methods: Forty five healthy young adults ($27.1{\pm}2.6$ years) participated in the study. While they were watching 4 neutral images and 4 disgusting images associated with mutilation selected from the international affective picture system (IAPS), participants' EEGs were taken for 30 seconds per one picture. Through these obtained EEG data, sLORETA analysis was performed to compare EEGs associated with neutral and negative images. Results: During looking for visual disgusting stimulus, all participants reported unpleasantness, arousal and stress. In sLORETA analysis, the decrease of current density in theta wave was shown at left frontal superior gyrus (BA10) and middle gyrus (BA10, 11). This voxel cluster consists of a total of 11 voxels and the threshold of t value indicating statistically significant decreases in the current density (p<0.05) was -1.984. There were no differences between male and female in the degree of being disgusted by the stimuli. Conclusion: This finding may suggest that the activation of dorsolateral prefrontal cortex might be associated with regulating disgust emotion.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.29-36
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• 2019

Previous resarch demonstrated that moral judgment is not an outcome of rational reasoning, but an independent variable determined by diverse factors. The effects of disgust on moral harshness, audience effect on moralistic punishment are some examples that support this view. The variability of moral judgment raises a question on what effects video stimuli might have on moral judgments. Although a few studies (Schnall, Roper, & Fessler, 2010) have shown that watching a prosocial video clip promote moral behavior, no research have simultaneously tested the effects of both positive and negative video clips on moral (not bahavior but) judgments. Hence, this research tested the effects of viewing videos about good and evil on moral judgments regarding the self and others. To this end, participants were asked to view a video clip depicting content of either positive or negative human behavior and required to make moral judgments on conduct described in a scenario assuming that the person committing the act was either themselves or another person. The results showed significant effects of both video contents (positive, negative) and the actor (self, others) on moral judgments, but they were qualified by the interaction between the two. In particular, participants who watched evil deed of others made harsher judgments on others' moral transgression. Theses results demonstrate that video contents influence moral judgments, and the effect depends on the actor of the immoral behavior. In general discussion, we interpreted the results based on moral disgust, framing effect, and fundamental attribution error.

• Women's Health Nursing
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• v.7 no.2
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• pp.203-211
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• 2001

A women's meaning about labor and delivery may influence the process of childbirth and performance of the maternal role. Therefore, negative meaning about the birth experience may have a negative impact on the childrearing. The purpose of this study is to explore the meaning of labor and delivery for the strategies of nursing intervention in positive childbirth experience. The data were collected through the in-depth interviews of 10 nursing college women on Jeju Island from October 2000 to January 2001. The interviews were conducted by investigator in the class room after school hours. Each interview lasted for about 30 minutes on average. Subjects were interviewed one at a time. The interviews were recorded with the consent of the subject. The data were analyzed by means of Giorgi's phenomenological analysis methods and catagorized according to the similarities of its contents. The investigator read the data repeatedly to identify the themes and the main meanings. Eight main meanings were identified as follows : 1)pain 2) shame and disgust 3)load 4)naturality 5)unreality 6)happiness 7)anxiety 8)maturity. Under these main meanings there were seventeen themes. I. Pain : (a) It's too painful (b) I don't want to deliver II. Shame and Disgust : (a) I am shameful (b) I am hateful III. Load : (a) I don't feel free (b) I have responsibility IV. Naturality : (a) It's in order to obtain a child (b) It's natural for women (c) It's a destiny of women V. Unreality : I don't feel real VI. Happiness : (a) I am glad (b) I am happy (c) It's miraculous VII. Anxiety : (a) I am anxious (b) I am worried VIII. Maturity : (a) I understand parents (b) I feel great. The results of the study will provide basic data for positive childbirth experience.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.547-552
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• 2008

Human and robot will have closer relation in the future, and we can expect that the interaction between human and robot will be more intense. To take the advantage of people's innate ability of communication, researchers concentrated on the facial expression so far. But for the robot to express emotional intensity, other modalities such as gesture, movement, sound, color are also needed. This paper suggests that the intensity of emotion can be expressed with color and blinking so that it is possible to apply the result to LED. Color and emotion definitely have relation, however, the previous results are difficult to implement due to the lack of quantitative data. In this paper, we determined color and blinking period to express the 6 basic emotions (anger, sadness, disgust, surprise, happiness, fear). It is implemented on avatar and the intensities of emotions are evaluated through survey. We figured out that the color and blinking helped to express the intensity of emotion for sadness, disgust, anger. For fear, happiness, surprise, the color and blinking didn't play an important role; however, we may improve them by adjusting the color or blinking.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.15-25
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• 2000

Cardiac, respiratory, electrodermal and frontal (F3, F4) EEG responses were analyzed and compared during to slides of International Affective Picture System (IAPS) in the study on 42 students. Physiological responses during 20s of exposure to slides intended to elicit happiness (nurturant and erotic), sadness, disgust, surprise, fear or anger emotions were quite similar and were expressed in heart rate (HR) deceleration, decreased HR variability (HRV), specific SCR, increased non-specific SCR frequency (N-SCR), and EEG changes exhibited in theta increase, alpha-blocking and increased beta activity, and frontal asymmetry. However, some emotions demonstrated variations of the response magnitudes, enabling to differentiate some paris of emotions by several physiological parameters. The profiles showed higher magnitudes of HRV and EEG responses in exciting (i.e., erotic) and higher cardiac and respiratory responses in surprise. The most different pairs were exciting-surprise (by HR, HRV, theta, and alpha asymmetry), exciting-sadness (by theta, alpha, and alpha asymmetry), and exciting-fear (by HRV, theta, F3 alpha, and alpha asymmetry). Nurturant happiness yielded the least differentiation. Differences were found as well within negative emotions, e.g., anger-sadness were differentiated by HRV and theta asymmetry, while disgust-fear by N-SCR and beta asymmetry. Obtained results suggest that magnitudes of profiles of physiological variables differentiate emotions evoked by affective pictures, despite that the patterns of most responses were featured by qualitative similarity in given passive viewing context.

• The Korean Journal of Community Living Science
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• v.27 no.3
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• pp.351-369
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• 2016

Individual lifestyle and eating habits have changed rapidly due to the evolution of society. Especially, climate change caused by industrialization has influenced society, with the result that today's consumers perceive sustainability to be an important value. The purposes of this study were to segment consumers on the basis of their food-related lifestyle and to explore climate-friendly food consumption behavior by considering factors such as moral intensity, propensity for disgust with meat as well as consumer characteristics. The results of this study were as follows: first, consumers were segmented into three groups(high involvement, low involvement, convenience oriented). Consumers in the high involvement group presented a higher level of moral intensity and climate-friendly food consumption behavior than the other groups. Furthermore, factors influencing the selection of climate-friendly food were found to differ according to the type of consumer. Consumers in the high involvement group were found to be significantly influenced by age, concentration of effect, the morality of eating meat and meat texture, while consumers in the low involvement were found to be significantly influenced by social consensus and the morality of eating meat. Finally, consumers in the convenience oriented group for food life were found to be significantly influenced by age, harm perception, and the morality of eating meat.

• Health Communication
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• v.12 no.1
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• pp.51-72
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• 2017

Purpose: Adolescents use emoticons to express their emotions in an online environment. Hence, medical experts can understand the emotions of adolescents by emoticons. The goal of this study was to investigate the relationship between various emotions and emoticons among the Korean adolescents. Methods: The questionnaire survey was conducted between September 1 and 30, 2014, involving 3,272 students in elementary schools, middle schools, and high schools affiliated in the Department of Education of the metropolitan city of Busan. A total of 1,717 students responded to the survey. The participants consisted of 806 males (46.9%), and 911 females (53.1%). Among these, there were 557 elementary school students (32.4%), 617 middle school students (35.9%), and 543 high school students (31.6%). A social networking analysis was conducted using NodeXL. Results: The frequency of emoticon use among adolescents runs in the order of joy, sadness, fear, surprise, anger, disgust, and then depression. Elementary school females mainly use emoticons to express joy; middle school females use emoticons to express sadness, surprise, anger, disgust, and depression; and high school females use emoticons to express fear. Age- and gender-specific emoticon networks were visualized by using the Haren-Korel fast multiscale algorithm. Commonly used emoticons by age and gender were expressed in the networks. Results of age- and gender-specific emoticon networks visualization show similar results of centrality of seven emoticons. Conclusion: In the digital communication environment, emoticons could be used to catch the emotions of adolescents in Korea.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.29 no.3
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• pp.301-309
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• 2022

Purpose: This study aimed to identify factors affecting nursing students' professional self-concept. Methods: A survey was conducted from August to October 2022, targeting 110 students in the 3rd and 4th grades at three universities. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson's correlation, and multiple linear regression. Results: There were significant differences in professional self-concept according to application motivation (F=5.43, p=.006), school record (F=3.24, p=.043), major satisfaction (t=-6.38, p<.001), desired occupation (F=9.30, p<.001), participant health status (F=4.31, p=.016), character (F=25.29, p<.001), clinical practice satisfaction (t=-5.36, p<.001), and change of thinking about career path after clinical practice (t=2.78, p=.006). Professional self-concept showed significant correlations with clinical practice stress (r=-0.37, p<.001) and resilience (r=0.66, p<.001). The variables affecting nursing students' professional self-concept were resilience (β=.38, p<.001), character (β=.32, p<.001), major satisfaction (β=.28, p<.001), and clinical practice stress (β=-.18, p=.007); the explanatory power was 65%. Conclusion: A professional self-concept enhancement program should be developed to promote the establishment of a positive professional self-concept in nursing students. As a strategy, it should reflect individual personality tendencies, improve major satisfaction and resilience, and reduce clinical practice stress.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.57-66
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• 2023

In this study, we propose a novel research framework for the recommendation system that can estimate the user's emotional state and reflect it in the recommendation process by applying deep learning techniques and emotion AI (artificial intelligence). To this end, we build an emotion classification model that classifies each of the seven emotions of angry, disgust, fear, happy, sad, surprise, and neutral, respectively, and propose a model that can reflect this result in the recommendation process. However, in the general emotion classification data, the difference in distribution ratio between each label is large, so it may be difficult to expect generalized classification results. In this study, since the number of emotion data such as disgust in emotion image data is often insufficient, correction is made through augmentation. Lastly, we propose a method to reflect the emotion prediction model based on data through image augmentation in the recommendation systems.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.4
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• pp.105-115
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• 1998

In this paper, we propose a document clustering and retrieval tool which allows users to manage their emotion based document access. This system name is ECRAS(Emotion based Clustering and Retrieval Agent System). Our system extract S emotion feature which like HAPPY, SAD, ANGRY, FEAR, DISGUST from various document. And, our system have retrieve documents for user query base on emotion feature.