• Journal of Digital Convergence
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• v.13 no.8
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• pp.207-220
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• 2015

This study empirically analyzed the effects of Emotional Intelligence and work-family conflict on organizational effectiveness such as job performance and turnover in the advertising industry. Analysis results showed that emotional intelligence a significant impact in part on job performance and turnover intention. In particular, the more use of emotion is higher job performance, and the more regulation of emotion is lower turnover intention. Second, work-family conflict is proved on a partially significant impact on organizational effectiveness, and especially family conflicts caused by works was found to increase the degree of turnover. The results of this study suggest that the need for the establishment of appropriate systems and organizational culture which can increase emotional intelligence and reduce family conflict for performance and human resource management of the organization.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.246-260
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• 2013

The purpose of this study is to demonstrate moderating effect of communications on job satisfactions by an emotional intelligence and conflict-relations of employees and to investigate the influence on job satisfactions by an emotional intelligence and conflict-relations of employees in a long-term care facilities. The results were analyzed from the final responses of 379 employees who are working in a long-term care facilities in Gyeong-Gi Province by SPSS 18.0. The method used in this study were factor analysis, t-test, ANOVA, hierarchical regression analysis, moderated regression analysis. The results of this study are as in the following. First, these consequences showed that an emotional intelligence is positively related with job satisfaction among others' emotional appraisal, use of emotion, regulation of emotion and self emotional appraisal. Second, these results are observed that the conflicts of client's protector and superior is negatively related with job satisfaction. Third, these data are convinced that the communications have a partial effects among conflict, relationship and compensation.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.481-492
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• 2013

This study sorted scores of individual characteristics and multiple intelligence by sex, handle, blood type and age through previous questionnaire with 462 adult males and females. Then electrode was attached to prefrontal lobes Fp1 and Fp2 with EEG measuring system and changes of concentration between no stimulation state and pure pink noise stimulation and their relations to multiple intelligence were examined. As a result of analysis of covariance, the mean concentration of all subjects was significantly higher in the pink noise stimulation compared to no stimulation. According to individual characteristics, concentration was significantly higher in left-hander, type A blood, and group in their thirties except for gender. Concentration in pink noise state strengthened the relation to spatial intelligence and made negative correlations with musical intelligence compared to no stimulation state. These results suggested that individual characteristics should be reflected on using pink noise for improving concentration.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.305-315
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• 2021

This study aimed to investigate the influencing factors of stress response, immediacy, emotional intelligence on converged nursing performance in Nurses. The Participants were 180 nurses who had worked at general hospitals without COVID-19 patients in B city. The data were collected by structured questionnaires of stress response, lack of premeditation, emotional intelligence, nursing performance. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients and multiple regression with SPSS 21.0 program. The results showed that use of emotion(β=.31~.39) is the highest significant influencing factors on nursing process skills, leadership, education and collaboration of nursing performance explaining 48.2% of the regression model in this study. And then age(β=-.29~.30), other's emotion appraisal(β=.17~.23) and current position(β=.19) are significant in order. Therefore, it is necessary to develop and apply the intervention programs that improve nurses' emotional intelligence for improving nursing performance.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.65-73
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• 2022

In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.

• Journal of the Korean School Mathematics Society
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• v.23 no.3
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• pp.351-375
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• 2020

The purpose of this study is to identify the trends of emotion-related mathematics education research conducted in Korea so far, and compare them with those of international studies, and explore the desirable directions for future emotion-related mathematics education research. Emotion-related domestic research was collected from domestic academic journals, analyzed, and then it was used as data for international comparative study. The findings of the Eligio(2017) were used as counterpart research data. This study compares the number of publications, research subjects and research topics of domestic and international studies on emotion. Findings indicate that it has generally shown similar patterns to international research although it was difficult to determine the trends due to the lack of the number of domestic studies. The future directions of domestic mathematics education research on emotion were proposed as follows. Since it is difficult to collect reasonable and reliable data on pure emotion due to the nature of emotion in mathematics education research, it is suggested to introduce the concept of emotional intelligence, which is the combination of emotion and cognition. Also, it was recommended to utilize the concept of meta-emotion for future study on emotion-related research.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.411-412
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• 2023

Speech emotion recognition(SER) is one of the interesting topics in the machine learning field. By developing SER, we can get numerous benefits. By using a convolutional neural network and Long Short Term Memory (LSTM ) method as a part of Artificial intelligence, the SER system can be built.

• Journal of Families and Better Life
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• v.24 no.1 s.79
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• pp.209-221
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• 2006

The purpose of this study was to investigate emotional intelligence and stress coping styles of adolescents. The study also identified the differences of emotional intelligence and stress coping styles between normal adolescents and juvenile delinquents. The subjects in this study were 447 adolescents included 249 normal adolescents and 198 juvenile delinquents. The major findings as follows: First, there were significant differences on emotional intelligence between normal adolescents and juvenile delinquent. Normal adolescents had higher level of emotional intelligence. However there were no significant differences on stress coping styles except wishful thinking between normal adolescents and juvenile delinquent. Second, there were overall positive correlation between emotional intelligence and stress coping styles. However regulation of emotion showed negative correlation with stress coping styles. The result of Canonical Correlation revealed that emotional facilitation of thinking among five sub-domains of emotional intelligence was the best contributor to predict stress coping styles of adolescents.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.55-66
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• 2017

Objectives : The aim of this study was to ascertain the effectiveness of job embeddedness and emotional intelligence on the performance of nurses working in medium and small sized hospitals. Methods : Data were collected from 283 nurses at 6 hospitals in G city. Structured questionnaires were used to assess the status of job embeddedness, emotional intelligence and nursing performance. The relationship and effectiveness between the factors were analyzed using multiple regression analysis. Results : The scores of job embeddedness, emotional intelligence and nursing performance were 3.02, 4.50 and 3.56, respectively. It was shown that the sacrifice of job embeddedness, self-motion appraisal, others emotions appraisal and the of regulation of emotion were positively correlated with nursing performance. The fit of job embeddedness, however, was negatively associated with nursing performance. The results showed that the status of job embeddedness and emotional intelligence explained the nursing performance($R^2=35%$). Conclusions : It has been shown that job embeddedness and emotional intelligence are important factors to enhance nursing performance. Activities to promote job embeddedness and emotional intelligence might be needed to enhance nursing performance.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.35-46
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• 2019

Artificial intelligence (AI) technology has been evolving to recognize and learn the languages, voice tones, and facial expressions of users so that they can respond to users' emotions in various contexts. Many AI-based services of particular importance in communications with users provide emotional interaction. However, research on nonverbal interaction as a means of expressing emotion in the AI system is still insufficient. We studied the effect of lighting on users' emotional interaction with an AI device, focusing on color and flickering motion. The AI device used in this study expresses emotions with six colors of light (red, yellow, green, blue, purple, and white) and with a three-level flickering effect (high, middle, and low velocity). We studied the responses of 50 men and women in their 20s and 30s to the emotions expressed by the light colors and flickering effects of the AI device. We found that each light color represented an emotion that was largely similar to the user's emotional image shown in a previous color-sensibility study. The rate of flickering of the lights produced changes in emotional arousal and balance. The change in arousal patterns produced similar intensities of all colors. On the other hand, changes in balance patterns were somewhat related to the emotional image in the previous color-sensibility study, but the colors were different. As AI systems and devices are becoming more diverse, our findings are expected to contribute to designing the users emotional with AI devices through lighting.