• Korean Journal of Health Psychology
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• v.15 no.3
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• pp.483-498
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• 2010

This study is to examine the effects of emotion regulation strategies in facial expressions and emotional experiences, based on the facial expressions of groups, using antecedent- and response- focused regulation. 50 female undergraduate students were instructed to use different emotion regulation strategies during the viewing of a disgust inducing film. While watching, their facial expressions and emotional experiences were measured. As a result, participants showed the highest frequency of action units related to disgust in the EG(expression group), and they reported in the following order of DG(expressive dissonance group), CG(cognitive reappraisal group), and SG(expressive suppression group). Also, the upper region of the face reflected real emotions. In this region, the frequency of action units related to disgust were lower in the CG than in the EG or DG. The results of the PANAS indicated the largest decrease of positive emotions reported in the DG, but an increase of positive emotions reported in the CG. This study suggests that cognitive reappraisal to an event is a more functional emotion regulation strategy compared to other strategies related to facial expression and emotional experience that affect emotion regulation strategies.

• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.37-48
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• 2014

Social emotion is being highlighted as an important factor of human life in terms of quality of communication as a variety of social networks are commonly used. To understand such social emotion, this study verifies and analyzes the significance of lexical meaning and expression of emotion basically for understanding of complex meaning of social emotion. The emotional expressions represented in SNS text messages, one of the major channel of communication, are examined in this study to create scales of meaning and expression and to understand the differences deeply. As a result of the analysis, it turned out that negative assessment factors were more than positive ones among social emotional factors while positive ones were outstandingly many in the case of social emotional expression. Social emotional factors were classified by basic emotional elements and valences while emotional expression included complex meaning and especially positive elements were dominant in general.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.119-125
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• 2021

In the elementary school period, since the developmental stage in the area of emotional regulation is immature, it is necessary to develop emotional regulation ability. In order to promote emotional regulation, this study provides an emotional regulation art class that utilizes the right brain function. Results were derived by analyzing through pre- and post-questions and post-interviews. As a result of the pre-post analysis, among the sub-elements of emotional regulation after class, 'Self-Emotion Recognition and Expression', 'Emotional Recognition and Consideration of Others', and 'Interpersonal Relationships' were statistically high. As a result of interview analysis, it was found that all students had a positive effect in the emotional regulation sub-item. As a result, they recognized and understood their emotions after class rather than before class, and had the effect of expressing emotions by purifying negative emotions into positive emotions. It is suggested that it is necessary to develop a program that applies various teaching and learning methods for emotional regulation art class in the future.

• Korean Journal of Community Nutrition
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• v.28 no.2
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• pp.114-123
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• 2023

Objectives: Current social norms in the United States do not favor breastfeeding in public. This study examined associations between college students' explicit and implicit emotions of breastfeeding in public and their intention to support public breastfeeding. Methods: Twenty-two student participants viewed images of a breastfeeding woman with a fully-covered, fully-exposed, or partially-exposed breast in a public setting. After viewing each image, participants' explicit emotions (self-reported) of the image were measured using a questionnaire and their implicit emotions (facial expression) were measured using FaceReader technology. We examined if a relationship exists between both emotions [toward images] and intention to support breastfeeding in public using correlation techniques. We determined the relative influence of two emotions on the intention to support breastfeeding in public using regression analyses. Results: The nursing images depicting a fully-covered breast (r = 0.425, P = 0.049 vs. r = 0.271, P = 0.222) and fully-exposed breast (r = 0.437, P = 0.042 vs. r = 0.317, P = 0.150) had stronger associations with explicit emotions and intention to support breastfeeding in public compared to implicit emotions and intention. Breastfeeding knowledge was associated with a positive explicit emotion for images with partial- (β = 0.60, P = 0.003) and full-breast exposure (β = 0.65, P = 0.002). Conclusions: Explicit emotions appear to drive stated intentions to support public breastfeeding. Further research is needed to understand the disconnect between explicit and implicit emotions, the factors that influence these emotions, and whether stated intentions lead to consistent behavior.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.105-112
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• 2024

In contemporary society, the expression of emotions and self-reflection are considered pivotal factors with a positive impact on stress management and mental well-being, thereby highlighting the significance of journaling. However, traditional journaling methods have posed challenges for many individuals due to constraints in terms of time and space. Recent rapid advancements in chatbot and emotion analysis technologies have garnered significant attention as essential tools to address these issues. This paper introduces an artificial intelligence chatbot that integrates the GPT-3 model and emotion analysis technology, detailing the development process of a system that automatically generates journals based on users' chat data. Through this system, users can engage in journaling more conveniently and efficiently, fostering a deeper understanding of their emotions and promoting positive emotional experiences.

• Korean Journal of Human Ecology
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• v.20 no.6
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• pp.1109-1119
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• 2011

The purpose of this study was to examine the difference of the father's and mother's reactions to their children's negative emotions, relations among the children's variables, parent's variables, and parent's reactions. The subjects selected were 183 mothers and 183 fathers with children aged three to five-years-old, from a childcare center and kindergarten in Kwang-ju. Parental emotion-related practices regarding children's negative emotions were assessed with an adaptation of the CCNES(Fabes et al, 1990) that was modified by Kim Hee-Jung(1994). Descriptives, Pearson's correlation coefficient, were used for data analysis by using the SPSS 15.0 program. The results of this study can be summarized as follows: First, fathers and mothers used more positive reactions than negative reactions when their children showed negative emotions. The mothers were significantly higher than fathers on encouragement of expression, punitive, and distress reactions. Second, the children's age and gender, parent's age, level of education and income were negatively and positively correlated to the father's and mother's reactions to their children's negative emotions.

• The Journal of Korea Robotics Society
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• v.18 no.2
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• pp.203-215
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• 2023

Social robots, which are mainly used by individuals, emphasize the importance of human-robot relationships (HRR) more compared to other types of robots. Emotional expression in robots is one of the key factors that imbue HRR with value; emotions are mainly expressed through the face. However, because of cultural and preference differences, the desired robot facial expressions differ subtly depending on the user. It was expected that a robot facial expression customization tool may mitigate such difficulties and consequently improve HRR. To prove this, we created a robot facial expression customization tool and a prototype robot. We implemented a suitable emotion engine for generating robot facial expressions in a dynamic human-robot interaction setting. We conducted experiments and the users agreed that the availability of a customized version of the robot has a more positive effect on HRR than a predefined version of the robot. Moreover, we suggest recommendations for future improvements of the customization process of robot facial expression.

• 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.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.4
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• pp.239-246
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• 2021

In the field of computer graphics and HCI, there are many studies on systems that create characters and interact naturally. Such studies have focused on the user's response to the user's behavior, and the study of the character's behavior to elicit positive emotions from the user remains a difficult problem. In this paper, we develop a prototype of an interaction system to elicit positive emotions from users according to the movement of virtual characters using artificial intelligence technology. The proposed system is divided into face recognition and motion generation of a virtual character. A depth camera is used for face recognition, and the recognized data is transferred to motion generation. We use imitation learning as a learning model. In motion generation, random actions are performed according to the first user's facial expression data, and actions that the user can elicit positive emotions are learned through continuous imitation learning.