• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.57-66
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• 2023

In this study, we propose a novel research framework for the recommendation system that can estimate the user's emotional state and reflect it in the recommendation process by applying deep learning techniques and emotion AI (artificial intelligence). To this end, we build an emotion classification model that classifies each of the seven emotions of angry, disgust, fear, happy, sad, surprise, and neutral, respectively, and propose a model that can reflect this result in the recommendation process. However, in the general emotion classification data, the difference in distribution ratio between each label is large, so it may be difficult to expect generalized classification results. In this study, since the number of emotion data such as disgust in emotion image data is often insufficient, correction is made through augmentation. Lastly, we propose a method to reflect the emotion prediction model based on data through image augmentation in the recommendation systems.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.179-184
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• 2023

본 연구는 우울감을 느끼거나 대화 상대 부재로 어려움을 겪는 사용자와 정서 교감형 시스템간의 대화로 구성된 한국어 데이터 셋을 구축하고 이때 시스템이 사용할 수 있는 효과적인 응대 전략을 제안하는데 목적이 있다. 데이터셋은 사용자와 시스템 간의 대화 쌍을 기본 단위로 하며, 사용자의 7가지 기본 감정(행복, 슬픔, 공포, 놀람, 분노, 혐오, 중립)과 시스템의 4가지 응대 전략(명료화, 공감적 응대, 제안, 페르소나)에 따라 주석이 된다. 이 중, 공감적 응대 전략은 10가지 독특한 반응 유형(수용적 경청, 후행 발화 요청, 승인/동의, 비승인/재고 요청, 놀람, 격려, 느낌 표시, 상대 발화 반복, 인사, 의견 제시) 및 4가지 후행 발화 요청 유형(무엇, 왜, 어떻게, 그밖에)을 포함하는 구조로 구체화되었다. 이러한 주석은 시스템이 사용자의 다양한 감정을 식별하고 적절한 공감 수준을 나타내는 응답을 생성하는 데 있어 연구적인 의의가 있으며, 필요시 사용자가 부정적 감정을 극복할 수 있는 활동을 제안하는 데 도움을 줄 수 있다는 점에서 실제적인 의의가 있다.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.197-206
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• 2017

The purpose of this study is to verify the effect of positive psychology-based literacy therapy program on elementary school students' happiness by constructing a literature therapy program based on positive psychology. In order to evaluate the effectiveness of the program, the experiment group and the control group were subjected to the pre - test. The same test as that carried out in the test was conducted. The pre - and post - scores of experimental group and control group were compared and analyzed by independent sample t-test. The results of this study were as follows. First, literature therapy programs based on positive psychology were found to be effective in improving elementary school students' happiness (t = 10.175, p <.001). Second, the effects of positive psychology - based literacy therapy programs on self - esteem, optimism, friendship, and family environment were found to affect all four factors (t = 5.720, p <.001). Therefore, the children tend to equate themselves with the person in the book, so that the short and concise sentence of the poem can convey emotion and emotion to the child.

• Journal of Advanced Technology Convergence
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• v.2 no.4
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• pp.31-36
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• 2023

The purpose of this study is to provide basic data for developing strategies to maintain a stable and happy middle-aged and mature years. We want a happy life during middle and old age. However, most middle-aged and older adults are a continuous process of self-regulation, learning stress coping skills to maintain balance and integration throughout their lives, control their emotions, and effectively regulate their living environments. To effectively cope with the crises experienced in middle and old age, to discover and pursue one's own unique meaning in life, and to enjoy a stable and vibrant middle and old age without experiencing difficulties between happiness and unhappiness, we continuously learn the core of the meaning of life. The purpose of this study is to present data.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.167-172
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• 2017

The purpose of this study is to analyze the emotional codes of Sijo, which has been acknowledged to have excellent therapeutic function, to activate the contents of the therapy of humanities. Sijo as a function of healing forms emotional codes of therapy, which is the total of emotions, through the fusion of emotions formed during the process of appreciation of various works. This process enables the literary therapeutic activities to proceed physiologically in the human body. Just as machine learning is self-learning by cognitive functions, the coding process for encoding and re-encoding at all times operates on collections of numerous neurons in the human system. In such a process, it is predicted that amino acids are synthesized in the human body by collective encoding of emotion codes. These amino acids regulate the signaling system of the human body. In the future, if the study on the healing process as such at the contact point of humanities and human physiology proceeds, it is expected that a program of higher quality humanistic therapy will be activated.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.469-480
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• 2013

In this paper, we propose new method to reduce variance and express mixed feelings in Russell's emotional dimension(A Circumplex model). A Circumplex model shows mean and variance of emotions(joy, sad, happy, enjoy et. al.) in PAD(Pleasure, Arousal, Dominace, et. al.) dimension using self-diagnostic method(SAM: Self-Assessment-Manikin). But other researchers consistently insisted that Russell's model had two problems. First, data(emotional words) gathered by Russell's method have too big variance. So, it is difficult to separate valid value. Second, Russell's model can not properly represent mixed feelings because it has structural problem(It has a single Pleasure dimension). In order to solve these problems, we change survey methods, so that we reduce value of variance. And then we conduct survey(which can induce mixed feelings) to prove Positive/Negative(Pleasure) part in emotion and confirm that Russell's model can be used to express mixed feelings. Using this method, we can obtain high reliability and accuracy of data and Russell's model can be applied in many other fields such as bio-signal, mixed feelings, realistic broadcasting, et. al.

• Korean Journal of Social Welfare Studies
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• v.49 no.1
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• pp.191-219
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• 2018

Although several measurements of happiness at work have been developed as interest in it has grown, most of them only deal with hedonia, emotional pleasure, and there exists no measurement of eudaimonia, ultimate happiness through meaning and worthiness in Korea. This study aims to examine the validity of the Korean version of Global Hedonic and Eudaimonic Job Satisfaction (K-GHEJS) scale which covers both hedonia and eudaimonia at work. Considering the job characteristics of social work which emphasizes the values and meaning of the helping profession, online survey was performed among a total of 376 social workers. Exploratory factor analysis confirmed the goodness-of-fit of 10 items, and confirmatory factor analysis confirmed that classification as two factors of hedonic and eudaimonic job satisfaction is appropriate. The reliability was found to be high as reliability coefficient Chronbach's ${\alpha}$ was .936. This K-GHEJS scale which measures eudaimonic happiness for the first time in Korea, is expected to be useful for measuring job satisfaction of the helping professions such as social work that pursues the values and meanings of work.

• Journal of Venture Innovation
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• v.5 no.1
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• pp.39-58
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• 2022

On this study, we've analyzed Emotional labor's effect on turnover intention with mediation of flourishing and moderate of social support, targeting the 323 employees working in a downtown duty free store by using SPSS 22.0 and SPSS PROCESS MACRO(V. 2.16.3) to verify used study structure. From this study, a few main things can be summarized as follow. First, there is a positively relative relationship between emotional labor and turn over intention also negatively relative relationship between flourishing and social support after study. Secondly, It is founded out there is a mediation effect of flourishing between emotional labor and turn over intention. Thirdly, Flourishing works as mediator and social support is works as a moderator fact on flourishing. Fourthly, social support effect works better when emotional labor lever is higher. Based on this result, we provide some implications, advices and limitations for alleviating turn over coming from emotion labor level of duty free working clerks.

• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.33-43
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• 2023

Not only emotions affect physical sensations, but they also have an impact on physical movements. The responses to emotions vary depending on the type of emotional stimuli. However, research on the effects of emotional stimuli on the activation of bodily movements has not been rigorously examined, and these effects have not been investigated in Autonomous Emotion Recognition (AER) systems. In this study, we aimed to compare the emotional responses of 20 participants to three types of emotional stimuli (words, pictures, and videos) and investigate their activation or deactivation for the AER system. Our dependent measures included emotional responses, computer-based self-reporting methods, and bodily movements recorded using motion capture devices. The results suggested that video stimuli elicited higher levels of emotional movement, and emotional movement patterns were similar across different types of emotional stimuli for happiness, sadness, anger, and neutrality. Additionally, the findings indicated that bodily changes observed during video stimuli had the highest classification accuracy. These findings have implications for future research on the bodily changes elicited by emotional stimuli.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.2
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• pp.212-222
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• 2015

Purpose: This study was conducted to identify correlations in hospital nurses' work environment, emotional labor and happiness index to provide basic resources for nurses' happiness at work. Methods: Resources were gathered from 291 nurses who agreed to participate. Random sampling of nurses in nine hospitals in G-do was done between July 15 and August 14, 2014. Data were analyzed using ${\chi}^2$ tests, independent t-test, One-way ANOVA, Pearson correlation coefficients and multiple hierarchical regression with SPSS/WIN 18.0. Results: Mean scores (scale of 5) were nurses' work environment, 2.81, emotional labor, 3.24, and happiness index, 2.94. There were significant differences on the happiness index for: age, marriage, children, clinical experience, position, payment, and future work plans and a negative correlation between work environment and emotional labor, emotional labor and happiness index but a positive correlation between happiness index and work environment. Happiness index was influenced by work environment, emotional labor, future work plans. Explanatory power of these variables was 26%. Conclusion: Based on the findings of this study, so it is necessary to improve the work environment and reduce the frequency of emotional labor in order to increase the happiness index of hospital nurses.