• Journal of Digital Convergence
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• v.15 no.1
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• pp.255-266
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• 2017

This study is designed to know the influence of emotional labor and social support on burnout of clinical nurses. 199 nurses working in five general hospitals with more than 500 beds in Seoul were sampled. Mean scores for each category were 3.69 for burnout, 3.08 for emotional labor, and 3.44 for social support. There was statistically significant difference between burnout and demographic characteristics, in age, education level, position, and clinical career; there was statistically significant difference between emotional labor and demographic characteristics, in age, working unit and clinical career. Emotional labor was positively correlated with burnout and social support was negatively correlated with burnout. As a result, factor influencing burnout was emotional labor, age, and social support. This predictor accounted for 31.5% of variance in burnout. Therefore, it is necessary to establish strategies to reduce nurses' emotional labor and improve the awareness of social support.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.190-205
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• 2010

The purpose of this study is to understand the effect of physical environment of family restaurant upon customers' emotions, satisfaction and revisit intent. Based on total 438 samples obtained from the empirical research, this study reviewed the reliability and fitness of the research model using Amos program. The hypothesized relationships in the model were tested simultaneously by using a structural equation model (SEM). The proposed model provided an adequate fit to the data, $x^2$ 592.898(p<0.001), df=239, CMIN/DF 2.481, RMR 0.103, GFI 0.900, NFI 0.952, CFI 0.970, RMSEA 0.058. SEM resulted that the physical environment showed a significant effect on customers' positive emotions($\beta$=0.388, p<0.001) and negative emotions($\beta$=-0.148, p<0.001). Also, customers' positive emotion($\beta$=0.828, p<0.001) bad a positive significant effect on customer satisfaction, and customer satisfaction($\beta$=0.771, p<0.001) bad a positive significant effect on revisit intent. Limitations and future research directions are also discussed.

• Journal of Dental Rehabilitation and Applied Science
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• v.34 no.3
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• pp.137-146
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• 2018

Tooth wear is a multifactorial condition, leading to the loss of dental hard tissues. While for many years, tooth wear was a condition of little interest in daily clinical practice, nowadays this is changed. Tooth wear is becoming increasingly significant in maintaining the long-term health of the dentition. This becomes especially important when the dentition is kept relatively intact in the contemporary ageing population, and edentulism is decreasing. There is also evidence that the prevalence of tooth wear is growing. It is a natural consequence of the unidirectionality of tooth wear that it is frequently used as a means of individual age estimation. Tooth wear was very serious in ancient populations up to the medieval period. Tooth wear is thus studied in a wide variety of areas. The purpose of this paper is to summarize and analyze the many issues surrounding tooth wear through recent studies in various fields and to search for future research direction.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.340-342
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• 2001

현재 인터넷 환경에서 텍스트는 다루기 쉽고 부하가 적어 가장 많이 사용되는 통신 수단이다. 그러나 화상 채팅과는 달리 자신의 표정이나 체스춰를 전달할 수 있는 방법이 없기 때문에 표현상의 한계가 있다. 이 글은 일상 대화를 텍스트로 입력받아, naive Bayes 알고리즘을 사용해 미리 정의된 감정 범주, 즉 울기, 웃기, 화내기 등으로 분류해 주는 방법에 관해 다루고 있다. 채팅사이트에서 수집된 학습데이터는 사람에 의해 해당 감정 범주로 태깅되고, 이렇게 태깅된 데이터가 학습엔진에 의해 통계 정보로 구축되면, 실제 채팅사이트에서 감정인식 엔진은 입력된 데이터를 분석해 해당 감정으로 분류한다. 연령별로 5개의 그룹으로 나눈 대화방에서 각각 1000문장씩 테스트해본 결과 평균 91.6%의 정확도를 얻을 수 있었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.343-350
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• 2008

사람들은 다양한 매체를 통하여 음악을 청취하고 있으며, 느낌별, 장르별, 연령별, 날씨별, 시간별, 장소별, 상황별, 직업별, 악기별, 템포별 등으로 다양한 분류 방법으로 음악을 제공받고 있다. 이는 음악을 분류하는 방법들이 음악 자체에 대한 분석이나 음악을 듣는 환경에 대한 분류로만 제공되고 있기 때문이다. 같은 상황, 환경이라도 개인에 따라서 같은 음악을 듣더라도 다른 감정의 상태를 나타내기 때문에, 개인을 고려한 분류 방법이 요구된다. 본 논문에서는 인간의 성격을 통해 감정의 표현 방식에 차이가 있다는 면을 초점으로 접근하였다. 감정이 미치는 심전도에 미치는 영향과 음악이 신체와 감정에 미치는 영향들을 통해 심전도를 이용하여 개인의 성향에 따른 음원자극에 대한 반응 차이를 통해 개인의 성향이 반영된 분류 방법을 제시하고자 했다.

• Science of Emotion and Sensibility
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• v.1 no.1
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• pp.113-122
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• 1998

인간의 감성은 감정과는 구분되는 심리적 현상으로, 감정이 강도가 높으며 생리적, 신체적 반응을 동반하는데 비하여, 감성은 강도가 낮으며 겉으로 나타나는 생리적 변화가 없다. 감정은 외부의 감각자극에 대하여 두뇌에서 단계적인 정보처리의 결과로 나타나지만 감성은 반사적이고 직관적으로 발생된다. 감정은 하나의 대상에 대하여 여러사람이 유사한 반응을 보이는 공통성과 객관성을 갖지만, 감성은 동일한 대상에 대해서도 개인에 따라 다양하게 나타나며 시간과 환경에 따하서도 변화한다. 감정은 일반성, 객관성, 반복성과 같은 학문적 연구대상으로서의 조건을 만족시키고 있으나, 감성은 그 특성이 학문이나 연구의 대상이 되기 위한 조건들을 충족시키지 못하며, 따라서 연구대상으로 인정받지 못하고 있다. 감성이 감정에 비하여 가장 두드러지는 점은 감정의 종류가 외부자극의 종류에 따라 결정되어지는 반면 감성의 발생은 개인의 재부상태, 즉 생활경험에 의한 기억에 의존한다는 점이다. 감성의 개인성, 변화성, 불확실성, 애매모호성등을 설명할 수 있기 위해서는 기존의 학문이 갖는 폐쇄성에서 벗어나 보다 많은 변수를 체계적이고 다각적으로 고려하는 새로운 접근이 필요하다. 학문과 연구대상에 대한 조건의 확대가 요구된다고 할 수 있다. 개인의 감성은 해당 시점에서 개인이 갖고 있는 심리상태와 함깨 연령, 성별, 교육정도, 건강상태와 같은 개인요소뿐만 아니라 개인의 의식과 생활에 영향을 미치는 가정과 사회특성, 나아가 전통과 관습, 종교, 환경등와 같은 문화적 특성에 의해서도 변화된다. 그리고 이들 요소들을 개인이 처한 상황에 따라 영향의 정도가 다양하게 변화한다. 많은 요인들에 의하여 다양하게 변화되는 감성은 감성의 영향을 받는 생활환경과 결합되고, 생활경험을 중심으로 한 기억은 두뇌의 Limbic system은 자율신경계를 조절하는 hypothalamus와 밀접한 관계를 갖고 있다. 따라서 감성의 측정평가를 위해서는 생활경험에 영향을 미치는 제반 요인들의 파악과 함께 자율신경계의 반응을 측정할 수 있는 방법의 개발이 요구된다.

• Smart Media Journal
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• v.13 no.3
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• pp.9-17
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• 2024

Due to the recent pandemic and the development of ICT technology, the use of non-face-to-face and unmanned systems is expanding, and it is very important to understand emotions in communication in non-face-to-face situations. As emotion recognition methods for various facial expressions are required to understand emotions, artificial intelligence-based research is being conducted to improve facial expression emotion recognition in image data. However, existing research on facial expression emotion recognition requires high computing power and a lot of learning time because it utilizes a large amount of data to improve accuracy. To improve these limitations, this paper proposes a method of recognizing facial expressions using age and gender, which are image meta information, as a method of recognizing facial expressions with even a small amount of data. For facial expression emotion recognition, a face was detected using the Yolo Face model from the original image data, and age and gender were classified through the VGG model based on image meta information, and then seven emotions were recognized using the EfficientNet model. The accuracy of the proposed data classification learning model was higher as a result of comparing the meta-information-based data classification model with the model trained with all data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.462-470
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• 2018

This descriptive survey was conducted to explore the effects of work engagement and its associated factors among general hospital nurses. Nurses working in general hospitals were recruited in D city and K region. Data were analyzed by descriptive statistics, t-test, one-way ANOVA, Pearson's correlations, and stepwise multiple regression using IBM SPSS 25. The mean score of work engagement of the subjects was 3.08. The mean scores of emotional modulation effects in profession, patient focused emotional suppression, and emotional pretense by norms which are subgroups of emotional labor by norms were 3.82, 3.28, and 3.22, respectively, while that of the nursing work environment was 2.59. Work engagement was significantly positively correlated with emotional modulation effects in profession (r=0.30, p=0.001), patient-focused emotional suppression (r=0.20, p=0.030), and nursing work environment (r=0.21, p=0.024). The results showed that the factors that affect the work engagement were age, current position, and emotional modulation effects in profession, which explained 20% of the variance in work engagement (F=10.37, p<0.001). Therefore, to establish strategies for improving the level of work engagement, it is necessary to consider age and current positions of nurses and to develop a nursing intervention program to strengthen emotional modulation effects among general hospital nurses.

• Journal of the Korea Convergence Society
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• v.7 no.3
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• pp.25-33
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• 2016

This study was to analyze relations between health promoting behavior and emotional labor, quality of life, and job satisfaction among 293 dental hygienists of Daegu and Kyeongbuk areas. This data was analyzed by using Spss win 12.0 program. Health promoting behavior of 10 item, The highest 3.25 points on 'I consult close people to me for my problems and worries'. Health promoting behavior according to their general characteristics, it was higher according to older age, better educational, general hospital. Emotional labor according to their general characteristics, it was high according to duration of service was short or the longest, high educational, worked at a clinic. Quality of life according to their general characteristics, it was higher according to older age, had better educational, worked at a clinic, income of 2501-3000 thousand won. Job satisfaction according to their general characteristics, it was high when they were in older age, high educational, were married, worked at a clinic, income of 2501-3000 thousand won. Health promoting behavior had positive correlations between their emotional labor, quality of life, and job satisfaction. The regression analysis results Y(Health promotion behavior)= 1.452+ 0.318(Quality of life). Therefore, To improve the quality of life of the dental hygienist should be made health promoting education.

• Proceedings of the Costume Culture Conference
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• 2003.04a
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• pp.92-93
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• 2003

인간의 사고와 감정은 여러 가지 상징을 통해서 표현되어진다. 여러 가지의 상징물 중에서 인간과 가장 밀접한 물질 문화인 복식은 모든 시대, 모든 문화권에서 존재해 왔다는 보편성 과 가시성으로 인하여 개인의 내면적 특성인 기분과 감정을 고찰하기에 적합한 상징물로 인정받고 있다. 그러므로 복식은 성, 연령, 직업, 국적, 사회적 계급, 종교, 정치적ㆍ경제적 상태, 집단 소속, 권위, 가치관 등을 나타내는 무언의 의사 전달체라고 할 수 있다. (중략)