• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.23-28
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• 2022

Today, the online market has grown rapidly due to the development of digital platforms and the pandemic situation. Therefore, unlike the existing offline market, the distinctiveness of the online market has prompted users to check online reviews. It has been established that reviews play a significant part in influencing the user's purchase intention through precedents of several studies. However, the current review writing method makes it difficult for other users to understand the writer's emotions by expressing them through elements like tone and words. If the writer also wanted to emphasize something, it was very cumbersome to thicken the parts or change the colors to reflect their emotions. Therefore, in this paper, we propose a technique to check the user's emotions through facial expression recognition using a camera, to automatically set colors for each emotion using research on existing emotions and colors, and give colors based on the user's intention.

• Korean Journal of Child Studies
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• v.27 no.3
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• pp.53-66
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• 2006

An experimental group consisting of 15 boys and 13 girls, and a control group of 12 boys and 18 girls comprised the 58 five-year-old kindergarten sample of this study. Teachers measured children's emotional intelligence with the Emotional Intelligence Rating Scale(Kim, 1998); educational activities for the emotions focusing on self-awareness, self-management, self-motivation, empathy, and social skills were carried out with the experimental group. ANCOVA confirmed effectiveness of the educational activities; the experimental group had higher scores than the control group on self-awareness and expression of emotion, emotional regulation, and awareness of others' emotion. Children of the experimental group also showed higher interpersonal abilities in teacher and in peer relationships than the control group.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.1
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• pp.43-50
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• 2024

Purpose: People must express their feelings and thoughts to maintain mental health and stability. Expressing one's emotions, experiences, and thoughts in writing relieves inner feelings, promotes self-exploration, and improves individual well-being, resulting in a pleasant state on physical, mental, and social levels. This study aims to reveal the learning experiences of university students who participated in a self-expressive writing course to improve their well-being. Method: To explore the learning experiences of university students who took a self-expressive writing course, this study used qualitative research methods to analyze the students' written reflection notes. Results: Self-expressive writing was found to resolve university students' negative emotions, regulate their emotions, improve their self-reflection and self-awareness, contributing to their problem-solving skills and ability to set new goals, and strengthen their social communication. The meaning of this class experience can be summarized as healing, awareness, reflection, change, and growth. Conclusion: The results of this study provide concrete data on expressive writing classes and are valuable when designing the writing programs.

• Asian Journal for Public Opinion Research
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• v.2 no.4
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• pp.248-278
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• 2015

Despite the proliferation of studies on emotion, little attention has been paid to the effects of discrete emotion on political participation. Using a representative survey conducted on a sample of South Korean citizens in the aftermath of the Sewol ferry accident, the current survey explored how anger and sadness, as well as the ways people express those emotions, influence the orientation of their response in social environments and, ultimately, their voting intention. The results partially supported the discrete effects of sadness and anger in eliciting reactions of approach or avoidance. Anger was found to provoke an approach action tendency in independent voters and supporters of the opposition, while also eliciting an avoidance action tendency with a varying effect size across all three groups of respondents. Sadness also prompted an approach action tendency in independents and supporters of the incumbent party, while it manifested a negative association with the avoidance action tendency in supporters of the opponent party. An interpretation of the findings and proposed directions for future research are presented.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.113-117
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• 2018

Human emotions are revealed by various factors. Words, actions, facial expressions, attire and so on. But people know how to hide their feelings. So we can not easily guess its sensitivity using one factor. We decided to pay attention to behaviors and facial expressions in order to solve these problems. Behavior and facial expression can not be easily concealed without constant effort and training. In this paper, we propose an algorithm to estimate human emotion through combination of two results by gradually learning human behavior and facial expression with little data through the deep learning method. Through this algorithm, we can more comprehensively grasp human emotions.

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.1-9
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• 2018

We propose an emotional training framework that can determine the initial symptom of schizophrenia by using emotional analysis method through facial expression change. We use Emotion API in Microsoft to obtain facial expressions and emotion values at the present time. We analyzed these values and recognized subtle facial expressions that change with time. The emotion states were classified according to the peak analysis-based variance method in order to measure the emotions appearing in facial expressions according to time. The proposed method analyzes the lack of emotional recognition and expressive ability by using characteristics that are different from the emotional state changes classified according to the six basic emotions proposed by Ekman. As a result, the analyzed values are integrated into the image color transfer framework so that users can easily recognize and train their own emotional changes.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.125-139
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• 2023

Facial expression recognition, a topical problem in the field of computer vision and pattern recognition, is a direct means of recognizing human emotions and behaviors. This paper first summarizes the datasets commonly used for expression recognition and their associated characteristics and presents traditional machine learning algorithms and their benefits and drawbacks from three key techniques of face expression; image pre-processing, feature extraction, and expression classification. Deep learning-oriented expression recognition methods and various algorithmic framework performances are also analyzed and compared. Finally, the current barriers to facial expression recognition and potential developments are highlighted.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.137-145
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• 2005

This study is a model of research for the developing 3D character contents about facial expression as a sort of non-linguistic signs, focusing on an expression of emotion factors of a person. It contributes a framework for symbolic analysis about Human's emotions along with a general review of expression. The human face is the most complex and versatile of all species. For humans, the face is a ich and versatile instrument serving many different functions. It serves as a window to display one's own motivational state. This makes one's behavior more predictable and understandable to others and improves communication. The face can be used to supplement verbal communication. A prompt facial display can reveal the speaker's attitude about the information being conveyed. Alternatively, the face can be used to complement verbal communication, such as lifting of eyebrows to lend additional emphasis to stressed word. The facial expression plays a important role under the digital visual context. This study will present a frame of facial expression categories for effective manufacture of cartoon and animation that appeal to the visual emotion of the human.

• Korean Journal of Child Studies
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• v.20 no.3
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• pp.171-182
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• 1999

This study examined the relations between parents' reactions to their preschool child's negative emotions, coping styles, and peer acceptance. Subjects were 250 5-year-old preschoolers and their parents. Instruments were the Coping with children's Negative Emotions Scale, and coding strategies checklist and peer rating scales for children. Data were analyzed with the SPSS PC + program. Parent's emotion-focused reactions, encouragement of expression and problem-focused reactions were positively associated with both peer acceptance and child coping styles whereas parent's distress, and punitive and minimizing reactions were associated with lower Peer acceptance and child coping styles of venting, denial, aggressive action, and avoidance. In child coping styles, problem solving was positively associated with peer acceptance while aggressive action anti venting were associated with a lower level of peer acceptance. Problem solving tended to be positively associated with peer acceptance, whereas aggressive action and venting tended to be associated with lower level of peer acceptance. (4) There was a statistically significant relations among parent's reactions to preschoolers' negative emotions, preschoolers' coping styles, and peer acceptance. There were the positive relations among parent's supportive reactions preschoolers' coping styles of problem solving and seeking support, and peer acceptance.

• Korean Journal of Childcare and Education
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• v.13 no.3
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• pp.83-102
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• 2017

Objective: This study investigates the main effects and interaction effects of mother's reactions to young children's negative emotions on the children's problem behaviors. Methods: A total of 346 mothers with toddlers completed questionnaires, the data were analyzed using Pearson's correlation coefficient and multiple regression. Results: First, mothers' supportive response to young children's negative emotions, including expressive encouragement, emotion-focused reactions, and problem-focused reactions, showed negative relations with the children's internal and external problem behaviors. Mothers' unsupportive response to children's negative emotions, including distress reactions, minimization reactions, and punitive reactions, showed positive relations with the children's internal and external problem behaviors. Second, an interactive effect was observed. For external problem behavior, mothers' lower distress reactions accompanied by higher emotion-focused reactions, lower punitive reactions accompanied by higher emotion-focused reactions, lower distress reactions accompanied by higher problem-focused reactions, and lower punitive reactions accompanied by higher problem-focused reactions all decreased children′s problem behavior. However, for internal problem behavior, only mothers' lower distress reactions accompanied by higher emotion-focused reaction decreased children′s problem behavior. Conclusion/Implication: The main interaction effect on mothers' reaction to young children's negative emotional expression shows that preventive intervention is needed to address problem behavior.