• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.687-692
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• 2023

We analyze the accuracy of emotion analysis of natural language processing deep learning model and propose to use it for emotional content development. After looking at the outline of the GPT-3 model, about 6,000 pieces of dialogue data provided by Aihub were input to 9 emotion categories: 'joy', 'sadness', 'fear', 'anger', 'disgust', and 'surprise'. ', 'interest', 'boredom', and 'pain'. Performance evaluation was conducted using the evaluation indices of accuracy, precision, recall, and F1-score, which are evaluation methods for natural language processing models. As a result of the emotion analysis, the accuracy was over 91%, and in the case of precision, 'fear' and 'pain' showed low values. In the case of reproducibility, a low value was shown in negative emotions, and in the case of 'disgust' in particular, an error appeared due to the lack of data. In the case of previous studies, emotion analysis was mainly used only for polarity analysis divided into positive, negative, and neutral, and there was a limitation in that it was used only in the feedback stage due to its nature. We expand emotion analysis into 9 categories and suggest its use in the development of emotional content considering it from the planning stage. It is expected that more accurate results can be obtained if emotion analysis is performed by additionally collecting more diverse daily conversations through follow-up research.

• Korean Journal of Culture and Social Issue
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• v.17 no.2
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• pp.175-197
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• 2011

This study aimed to expand and reconstruct the Driving Behavior Determinants' factors in order to confirm the relationship between Driving Behavior Determinants(DBD) and drivers' reckless driving behavior level. To expand the structure of DBD, drivers anger, introversion and type A characteristics were added, which were never considered as related factors in existing DBD studies before. The correlations between the new factors of DBD and reckless driving behavior(includes driver's personal records of driving experiences for the last three years) were verified. A factor analysis result showed us that new DBD questionnaire consists of five factors such as, 'Problem Evading', 'Benefits/Sensation Seeking', 'Anti-personal Anxiety', 'Anti-personal Anger', and 'Aggression'. Also, reckless driving behavior consists of 'Speeding', 'Inexperienced Coping', 'Wild Driving', 'Drunken Driving', and 'Distraction'. The result of correlation between the DBD and reckless driving behavior indicates that inappropriate level of DBD is highly correlated with dangerous driving behavior and strong possibilities of traffic accidents. Based on these results, we might be able to discriminate drivers according to DBD level and predict their reckless driving behavior through a standardization procedure. Futhermore, this will make us to provide drivers differentiated safety education service.

• Science of Emotion and Sensibility
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• v.27 no.2
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• pp.113-126
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• 2024

Individuals with social anxiety disorders tend to hold attentional bias toward threatening stimuli in social contexts regardless of task relevance. Although attentional bias is relatively consistent, findings on memory performance are mixed. This study examined attentional and memory biases toward threat stimuli in individuals with high levels of social anxiety. Participants included 19 individuals with high social anxiety (HSA) and another 20 individuals with low social anxiety (LSA). They performed a continuous attention task to measure attentional bias to threat. Afterward, they performed an unexpected memory task using distracting stimuli from the previous attention task to measure memory bias to task-irrelevant threatening stimuli. The results indicated that the HSA and LSA groups exhibited an initial attentional bias toward emotional faces. However, only the HSA group displayed prolonged attentional bias and demonstrated memory bias toward angry faces. Conversely, the LSA group exhibited attentional bias toward happy faces after 4 s. The findings imply that the absence of bias toward positive stimuli and the presence of bias toward negative stimuli may contribute to the maintenance and severity of social anxiety pathology.

• The Korean Journal of Elementary Counseling
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• v.5 no.1
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• pp.205-226
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• 2006

The purpose of this study was to find out the relations between 6th graders' negative cognitive process and anger experience and aggressiveness. To achieve the goal, it conducted a test to examine children's negative cognitive process, anger experience, aggressiveness targeting 100 children of 6th grade in C elementary school, Gyeonggj province. Then it conducted SPSS 12.0 statistical program to get the results of correlation analysis and regression analysis. The outcomes were as follows. First, there was a meaningfully positive relation between a negative cognitive process and anger experience. In other words, children having more negative cognitive process seemed to experience the feelings of anger more often, this presented the important role of cognition while getting into a temper Second, it reported a positive relation between anger experience and aggressiveness. Children who have experienced anger more often showed more violent behaviors, especially there were more significant positive relations between trait-anger and aggressiveness compared to state-anger and aggressiveness. This could explain some possibilities that children with high level of trait-anger might outrage more often than others by recognizing the situations as anger stimulants. Third, when conducting a regression analysis, a negative cognitive process made an effect on anger experience which affected aggressiveness. However, it did not show a negative cognitive process making a direct effect on aggressiveness. This is considered that children could experience an anger while evaluating an event or object in a negative way based on individual belief, and emotional linguistic behavioral aggressiveness would be formalized as they express the sparked fury either internally or externally. In conclusion, this study proved that there were close relations between children's negative cognitive process and anger experience and aggressiveness. A negative cognitive process affects anger experience, and anger experience affects aggressiveness afterwards. A negative cognitive process affects aggressiveness through anger experience indirectly, and especially trait-anger among anger experience is the main factor to influence on aggressiveness. With consideration of these results, it is believed that mediation is important key to moderate the negative cognition and trait-anger in order to diminish children's aggressive behaviors. This study has a meaning to provide searching for manifold mediating methods between negative cognition and trait anger, with a fundamental resource.

• The Korean Journal of Elementary Counseling
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• v.11 no.3
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• pp.351-369
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• 2012

The purpose of this study is to examine the psychometric properties of the Korean Children's Rejection Sensitivity Questionnaire (K-CRSQ). In order to investigate the reliability and validity of the K-CRSQ, the data were collected from 286 elementary students. The results are as follow : Internal consistency and test -retest reliability of the K-CRSQ were .83~.89, .72~.79, respectively. To test the convergent and discriminant validity, participants were separated into two samples and administered the K-CRSQ and ten validity indices. The correlation of K-CRSQ and validity indices scores suggested that the convergent and discriminant validity are high. High rejection sensitivity group revealed high score on intentional attribution, depression, anxiety, and aggression. In contrast, low rejection sensitivity group revealed high score on self-esteem, perceived competence, and social support. The results were compared with previous studies and the implication and limitation were discussed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.51-54
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• 2009

다양한 미디어에서 인물과 색채는 가장 중심적인 요소로서 활용되므로 인물의 표정에서 느껴지는 감성과 색채 자극에 대한 감성적 반응에 연구는 심리학 분야에서 각각 심도 있게 연구되어왔다. 본 연구에서는 감성 자극물로서의 얼굴 표정과 색채가 상호 작용을 하였을 때 이에 대한 감성적 반응에 대하여 조사하는데 그 목적이 있다. 즉, 인물의 표정과 배경 색상을 배치하였을 때 인물의 표정에서 느껴지는 감성이 어떻게 변하는지에 관한 실험 연구를 진행하여 이를 미디어에서 활용할 수 있는 방안을 제시하고자 한다. 60명의 피실험자들을 대상으로 진행한 실험연구에서는 Ekman의 7가지의 universal facial expression 중 증오(Contempt)의 표정을 제외한 분노(Anger), 공포(Fear), 역겨움(Disgusting), 기쁨(Happiness), 슬픔(Sadness), 놀람(Surprising) 등의 6가지의 표정의 이미지를 인물의 표정으로 활용하였다. 그리고, 배경 색채로서 빨강, 노랑, 파랑, 초록의 색상들을 기준으로 각각 밝은(light), 선명한(vivid), 둔탁한(dull), 그리고 어두운(dark) 등의 4 가지 톤(tone)의 영역에서 색채를 추출하였고, 추가로 무채색의 5 가지 색상이 적용되었다. 총 120 장(5 가지 얼굴표정 ${\times}$ 20 가지 색채)의 표정에서 나타나는 감성적 표현을 평가하도록 하였으며, 각각의 피실험자는 무작위 순위로 60개의 자극물을 평가하였다. 실험에서 측정된 데이터는 각 표정별로 분류되었으며 배경에 적용된 색채에 따라 얼굴 표현에서 나타나는 감성적 표현이 다름을 보여주었다. 특히 색채에 대한 감성적 반응에 대한 기존연구에서 제시하고 있는 자료를 토대로 색채와 얼굴표정의 감성이 상반되는 경우, 얼굴표정에서 나타나는 감성적 표현이 약하게 전달되었음을 알 수 있었으며, 이는 부정적인 얼굴표정일수록 더 두드러지는 것으로 나타났다. 이러한 현상은 색상과 톤의 경우 공통적으로 나타나는 현상으로서 광고 및 시각 디자인 분야의 실무에서 활용될 수 있다.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.31-37
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• 2019

The results of this study showed that victim's job motivation, organizational distrust, nervousness, turnover intention, frustration, stress and resistance, powerlessness and alienation were similar to previous studies. I was overwhelmed by the negative force of the collective union and experienced anger in the reality that one individual could not resist or find a solution. In addition, psychological factors such as union members' fear of union bullying were found to have a positive effect on the union members who did not join the strike and those who did not join the strike. It is necessary to consider the question of whether the group bullying behavior is valid in that the union bullying behavior of the union is effective in achieving the purpose of the group.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.359-367
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• 2021

The purpose of this study is conceptual analysis study on the thwarted belongingness, and was based on the conceptual analysis method of Walker & Avant to make clear concept. Thwarted belongingness can be defined by the following attributes: distorted beliefs, insufficient need to belong, a sense of alienation, and insufficient interaction and affection needs. The prerequisites for thwarted belongingness were social isolation, experiences of exclusion or conflict in interpersonal relationships, perfectionist tendencies, and sensitivity to rejection. The consequences occurring as a result of thwarted belongingness were suicidal ideation, decreased happiness and life satisfaction, negative emotions such as anxiety about rejection, depression, shame, loneliness, stress or anger, aggression, hostility and self-criticism, despair, suppression of emotional expression, lethargy, self-exclusion from relationships, and identity confusion. This study is valuable to identify the extent of preventable nursing interventions related to individual mental health and suicidal ideation related to interpersonal relationships, and suggests future tool development and field studies of thwarted belongingness.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.1064-1070
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• 2020

In Korea, video-based news broadcasters are primarily classified into terrestrial broadcasters, general programming cable broadcasters and YouTube broadcasters. Recently, news broadcasters get subjective while targeting the desired specific audience. This violates normative expectations of impartiality and neutrality on journalism from its audience. This phenomenon may have a negative impact on audience perceptions of issues. This study examined whether broadcast news reporting conveys emotions and if so, how news broadcasters differ according to emotion type. Emotion types were classified into neutrality, happiness, sadness and anger using a convolutional neural network which is a class of deep neural networks. Results showed that news anchors or reporters tend to express their emotions during TV broadcasts regardless of broadcast systems. This study provides the first quantative investigation of emotions in broadcasting news. In addition, this study is the first deep learning-based approach to emotion analysis of broadcasting news.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.333-340
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• 2022

The COVID-19 has made everyone anxious and people need to keep their distance. It is necessary to conduct collective assessment and screening of college students' mental health in the opening season of every year. This study uses and trains a multi-layer perceptron neural network model for deep learning to identify facial emotions. After the training, real pictures and videos were input for face detection. After detecting the positions of faces in the samples, emotions were classified, and the predicted emotional results of the samples were sent back and displayed on the pictures. The results show that the accuracy is 93.2% in the test set and 95.57% in practice. The recognition rate of Anger is 95%, Disgust is 97%, Happiness is 96%, Fear is 96%, Sadness is 97%, Surprise is 95%, Neutral is 93%, such efficient emotion recognition can provide objective data support for capturing negative. Deep learning emotion recognition system can cooperate with traditional psychological activities to provide more dimensions of psychological indicators for health.