• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.177-185
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• 2016

This study quantified optimism, emotional intelligence, and depression levels, and explored potential key factors affecting the depression level in undergraduate students. We performed a survey targeting undergraduate students in two Universities at D city and S city, between April 8th and 30th of 2016. After receiving informed consent, a total of 166 university students were recruited. They were asked to fill in a self-reported questionnaire about optimism, emotional-intelligence, and depression. The data were analyzed through descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis using IBM SPSS version 22.0. The data analysis results showed that the mean score for optimism was $3.67{\pm}0.51$, $3.66{\pm}0.49$, and $3.69{\pm}0.55$ for overall undergraduate students, undergraduate nursing students, and undergraduate non-nursing students, respectively. Moreover, the mean score of emotional intelligence was $3.56{\pm}0.49$, $3.53{\pm}0.49$, and $3.60{\pm}0.51$, respectively. In addition, the mean score of depression was $8.28{\pm}7.48$, $10.97{\pm}7.65$, and $5.50{\pm}5.54$, respectively. It was revealed that a strong negative correlation exists among optimism, emotional intelligence, and depression. This correlation was stronger for undergraduate nursing students than undergraduate non-nursing students. Optimism and emotional intelligence were key factors influencing depression. The degree of this influence was higher for undergraduate nursing students than undergraduate non-nursing students. In conclusion, a program that empowers optimism and emotional intelligence is necessary to manage depression for undergraduate students.

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.57-64
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• 2024

This study was to confirm the effect of emotional intelligence on organizational commitment of general hospital nurses and the mediating effect of affect. Data was collected using a structured online self-report questionnaire on emotional intelligence, organizational commitment, and both negative and positive affect from 236 nurses working in general hospitals. The data collected were analyzed using descriptive statistics, Pearson's correlation, and a parallel multiple mediation model. This analysis was conducted with IBM SPSS Statistics (Version 27.0) and the PROCESS macro (Model 4). This study's findings revealed that emotional intelligence was significant correlated with positive affect, negative affect, and organizational commitment. Emotional intelligence had a significant direct effect on positive affect (β=.16, p=.015), negative affect (β=-.28, p<.001), and organizational commitment (β=.33, p<.001). Positive affect (β=.20, p=.001) and negative affect (β=-.25, p<.001), had a significant direct effect on organizational commitment. And the mediating effect of positive affect (β=.03, 95% bootstrap CI=0.01~0.07) and negative affect (β=.07, 95% bootstrap CI=0.03~0.12) was also significant. Based on these research results, it will be necessary to research various training programs that can manage emotional intelligence and affect together in developing programs to improve nurses' organizational commitment.

• The Journal of the Korea Contents Association
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• v.15 no.1
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• pp.388-398
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• 2015

This study is to investigate an impact of emotional index, social network, and trust to customers on sales performance with emotional intelligence theory and social relationship theory. We found that the higher is seller's emotional index, the higher are cognitive and affective trust, and the high trust improves sales performance. We also found that the higher emotional index strengthens social network, but does not have an effect on cognitive and affective trust. With these results we provide the sales competency in clothing shop.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.41-50
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• 2013

This paper aims to examine the effects on the relationships between Emotional Intelligence of Consultant and Consulting Service Quality. To accomplish these purposes, The questionaries of 260 were inspected to the PM have received consulting experience at the companies. The collected data were analyzed with SPSS 17.0 for Windows. This study used the statistical techniques such as descriptive analysis, reliability analysis, discriminant analysis, factor analysis, correlation analysis and multi regression analysis. Emotional Intelligence of Consultant presented a meaningful result(+) with Consulting Service Quality. but self emotional appraisal didn't present a meaningful result with Consulting Service Quality. and Emotional Intelligence of Consultant didn't present a meaningful result with tangible.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.628-640
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• 2016

This research is a descriptive study intended to identify the factors involved in the influence of the emotional intelligence of nursing students on their career decision-making self-efficacy and career decision levels. The correlations among the major variables were analyzed by calculating the Pearson's correlation coefficients. To identify the effects of the subjects' general characteristics and emotional intelligence on their career decision-making self-efficacy and career decision levels, a multiple regression analysis was conducted. The analysis results showed that there were positive relationships among emotional intelligence, career decision making and career decision-making self-efficacy. The factors influencing career decision-making self-efficacy were gender (${\beta}=-.155$), motivation to find employment (${\beta}=-.145$), use of emotions (${\beta}=.236$), emotional control (${\beta}=.197$), and understanding of others' emotions (${\beta}=.157$). In addition, the factors affecting the subjects' career decision level were the year level (${\beta}=.273$), motivation to find employment (${\beta}=-.145$), motivation to obtain others' recommendation (${\beta}=-.138$), and emotional control (${\beta}=.223$). Hence, sufficient endorsement from school or home is required with regard to the roles and duties of a nurse, in order to motivate future students to select the nursing degree. Furthermore, it is suggested that emotional intelligence may be improved when the degree program provides a higher proportion of emotional education.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.385-388
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• 2005

감성이란 외부의 자극에 대해 직관적이고 반사적으로 발생하는 저절로 반응하는 현상이다. 감성은 살아온 사회$\cdot$문화적 배경에 따라 흑은 현재 상태에 따라서 다르게 나타난다. 하지만 다소 개인적인 차이가 있을 수 있을지라도 개인이 속한 사회에 따라서 비슷한 상황 아래서는 비슷한 유형의 반응이 나타난다. 현재 감성 인식을 위해서 개인의 행동이나 신체적인 표현을 이용한 감성 인식 연구가 진행 중이다. 이러한 방법은 감성을 표현하는 방식에서 개인차가 커지면 효용성이 떨어질 수밖에 없다. 우리가 거짓말 탐지기를 사용하는 것처럼 본 논문에서는 감정에 따라 달라지는 개인의 생체 신호를 이용해서 감성 인식을 하고자 한다. 이를 위해서 감성에 따른 여러 가지 생체 신호를 추출하고 감성 인식을 위한 생체 신호의 특징점을 파악하고 패턴분류를 하고자 한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.130-133
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• 2004

인간의 감정을 정의하거나 분류하는 것은 매우 어려운 일이다. 이러한 애매모호한 인간의 감정은 어느 한 감정만 나타나는 것이 아니고 다양한 감정의 복합으로, 눈에 띄는 강정이 드러나는 것이다. 인간의 애매모호한 감정 상태와 유사한 감성을 표현하는 알고리즘으로 dynamic emotion Space를 이용한 감성 표현 알고리즘을 제안한다. 기존의 감성 표현 아바타들이 키리 설정된 몇개의 감정만을 데이터 베이스에서 불러와 표현하는 반면에, 본 논문에서 제안하는 감성 표현 시스템은 동적으로 변화하는 감성 공간을 이용하여 감성을 표현함으로써 무수히 다양한 표정을 표현할 수 있다. 실제로 인간의 복합적이고 다양한 표정을 표현할 수 있는지를 알아보기 위해 실제 구현 및 실험을 수행하고, dynamic emotion space를 이용한 감성 표현 시스템의 성능을 입증한다.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.9-17
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• 2010

Nowadays, many research have been conducted on robots or interactive characters that properly respond to the users affection. In this paper, we develop an intelligent messenger that provides appropriate responses to text inputs according to user's intention and affection. In order to properly respond, the intelligent messenger adapts methods to recognize user's speech act and affection. And it uses an AIML-based interactive script to which tags are additionally attached to express affection and speech act. If the intelligent messenger finds a proper reply in the interactive scripts, it displays the reply in a dialog window, and an animation character expresses emotion assimilated with a user's affection. If the animation character is synchronized with a content robot through a wireless link, the robot in the same space with the user can provide emotional response.

• Culinary science and hospitality research
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• v.22 no.7
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• pp.22-35
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• 2016

This study presents to demonstrate the relationships among emotional intelligence, job engagement, and work performance as perceived by hotel employees. For conducting analysis in this study, 380 copies of the questionnaire were distributed to the employees in deluxe hotels in Seoul and 353 copies was used for statistical analysing by using SPSS 18.0. Current stud y found that the factors of hotel employees' emotional intelligence (other's emotion, control of emotion, self-emotion, and use of emotion) have a critical effect on the concentration job engagement. In addition, the elements of job engagement (concentration and job engagement) have a significantly effect on work performance. Based on these results, the study established that hotel employees' emotional intelligence and job engagement were important elements as key factors affecting the continuous work performance of the hotel industry. Through these study results, this study provides practical implications that help hotel employees to better understand their emotional factors are critical predictor of job engagement and it will be useful information for utilizing human resources and improve their work performance.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.619-628
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• 2021

This study tried to find out the degree of emotional intelligence and moral sensitivity of nursing students and their effect on caring efficacy. Data collection was conducted online from January 14 to 23, 2021 for 143 students from 1st to 4th grade at 3 nursing colleges located in one province. For data analysis, using SPSS/WIN 23.0, descriptive statistics, independent t-test, ANOVA and Duncan test, Pearson's correlation coefficients, and multiple regression were used. As a result of the study, emotional intelligence was confirmed as an influencing factor of caring efficacy, specifically emotional utilization (p=.005), emotional regulation (p=.027), and emotional recognition of others (p=.037), and the explanatory power was 26.2%. Therefore, in order to increase the nursing students' sense of caring efficacy, it is necessary to develop nursing education and content development that can improve individual emotional intelligence of nursing students.