• Korean Security Journal
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• no.37
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• pp.269-293
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• 2013

Raising the level of quality of the security industry is an urgent matter. Since security service is provided through direct contact with customers, the security agents' expression of emotion directly influences the evaluation of the security company or their own earnings. So emotion control at customers demand is necessary above all things, and this research established what difference the service career makes in the influence that the security agent's emotional labor exerts on customer orientation, and the results of the analysis are summarized as follows. First, the security agent's emotional labor exerted negative effects on customer orientation. From this, the conclusion that the higher the security agent's emotional labor, the lower the customer orientation, was obtained. Second, the service career showed differences in the effects of the security agent's emotional labor on the customer orientation. In other words, the conclusion that the lower the security agent's service career, the greater effects the emotional labor exerts on the customer orientation, was obtained. In conclusion, in order to raise the level of customer service, systematic education to control the emotional labor of the security agents with low service career is necessary. Particularly, since the emotional labor of new employees is related to the service environment, the improvement of the service environment of the security agents is more important than anything else.

• The Korean Society of Law and Medicine
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• v.20 no.2
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• pp.83-107
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• 2019

This article focuses on §10 of Criminal Act of the Republic of Korea to discuss how to determine criminal responsibility of a perpetrator suffering from mental disorders, while reviewing existing process and standards of mental examination at each stage of the criminal procedure as well as exploring suggestions regarding how they should be complied. The determination of the sanity or criminal responsibility of the mentally ill as defined in the §10 of Criminal Act, by its nature, cannot be approached with a traditional, clear-cut dichotomy of biology by medical practitioner and psychology·normative science by lawyer. Looking into the actual procedure of determining mental and physical disorder with special consideration of mental illness reveals the inevitability of collaboration between lawyers and psychiatrists. In the meantime, the process and standards of mental examination at each stage of the criminal procedure must be definitive and clear. First of all, during the investigation stage, examination prior to prosecution should be more actively encouraged, considering that judging sanity of the perpetrator at the time of committing a criminal act is important. During the trial stage, the mandatory examination must be conducted depending on the sensitivity and gravity of the case. Next, medical examination to determine criminal responsibility and the one to order treatment and custody must be separately conducted in order to properly execute medical treatment and custody. Obligatory mental examination could be considered both during the stage of request for and execution of the treatment and custody. Lastly, the procedure of examination and format of examination documents need to be standardized for better objectivity and reliability.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.65-74
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• 2021

In this study, we further study the customer's positive emotion about the impact of different inherent service climate on the emotions and satisfaction of the customers who receive the service. Through this, the purpose was to present the direction of creating a service climate. As a research method, structural equation statistical analysis, such as measurement model analysis and structural model analysis, was performed using SmartPLS (v.3.2) for data collected in surveys. Looking at the research results, first, a company's service climate has a positive (+) impact on positive customer emotions: pleasure, pleasure, and happiness. This can be interpreted as an indication that creating a business climate for service is an important factor that elicits positive emotions from customers. Second, a company's service climate and positive customer emotion also have a positive impact on customer satisfaction. Finally, when a company's service climate affects customer satisfaction, happiness has the greatest mediating effect among several parameters. This demonstrated empirically that satisfying the happy feelings of customers is the most important of the company's service climate. Since this study is aimed at a small number of restaurant companies, there is a limit to generalizing the findings and applying them to all restaurant companies. Nevertheless, it is meaningful to study the emotions of positive customers when the service climate affects customer satisfaction, and we hope that the company's analysis of service climate will continue to improve customer satisfaction through various emotional analysis as well as positive factors.

• Cross-Cultural Studies
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• v.46
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• pp.1-20
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• 2017

This study tries to examine the emotion of the elite characters in Son Jangsoon's early novel, The Koreans. In this novel, most characters are found to have an envy feeling, except for two female characters, Heeyeon and Sue Han. Although the writer does not consciously explore the envy feeling here, she excellently represents the harmful effects of the envy feeling. In this novel, the envy feeling is related to the desire for success and its frustration. In 1960's, people had high expectation of improvement in their individual lives. The elite groups were more likely to have a successful life with good education. But in this novel, these elite people suffer from frustration of their desire and experience of the envy feeling. The impressive point in this novel is that not only females but also males are shown to have the envy feeling. Envious people have the tendency to compare themselves with people around them, to feel shame in an inferior position and to aspire for superiority. In these envious characters, the feeling of envy reveals their lack, their inferiority and it never provides them with the way to escape from their suffering situation. The writer suggests that the envy feeling can be overcome by pursuing other valuable things and focussing not on other people's desire but on their own desire.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.177-188
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• 2019

Emotional labor is the process of regulating feelings or emotions and expressing them in the way that fulfill job requirement. There have been many studies about characteristics or related variables of service workers' emotional labor, but are few studies comparing emotional labor between service workers and non-service workers. Therefore we are to examine the differences of emotional labor among the different types of workers. And as depression and lowered quality of life are well known negative consequences of emotional labor, we also intend to study the relationship between depression, quality of life, and emotional labor. Data were collected from 125 sales workers, and 186 cyber university full time students. And as to assure the student participants to be non-service workers, we limited the participant job as administrator, soldier or housewife. To compare differences of groups, one-way ANOVA was performed with Fisher's LSD as post hoc comparison. On overload in customer reception, service workers showed significantly higher scores, and on demand of emotional regulation/emotional dissonance/depression, both service workers and housewives showed significantly higher scores. Also analysis of multiple regression was performed, and the result showed that, emotional dissonance increased depression but decreased quality of life, while support/care increased quality of life, but decreased depression. With the result, implications and limitations of this study were discussed.

• Journal of IKEEE
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• v.22 no.4
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• pp.1140-1146
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• 2018

Recently, a methodology for analyzing complex bio-signals using a deep learning model has emerged among studies that recognize human emotions. At this time, the accuracy of emotion classification may be changed depending on the evaluation method and reliability depending on the kind of data to be learned. In the case of biological signals, the reliability of data is determined according to the noise ratio, so that the noise detection method is as important as that. Also, according to the methodology for defining emotions, appropriate emotional evaluation methods will be needed. In this paper, we propose a wavelet -based noise threshold setting algorithm for verifying the reliability of data for multimodal bio-signal data labeled Valence and Arousal and a method for improving the emotion recognition rate by weighting the evaluation data. After extracting the wavelet component of the signal using the wavelet transform, the distortion and kurtosis of the component are obtained, the noise is detected at the threshold calculated by the hampel identifier, and the training data is selected considering the noise ratio of the original signal. In addition, weighting is applied to the overall evaluation of the emotion recognition rate using the euclidean distance from the median value of the Valence-Arousal plane when classifying emotional data. To verify the proposed algorithm, we use ASCERTAIN data set to observe the degree of emotion recognition rate improvement.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1137-1144
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• 2022

In this study, an artificial intelligence(AI) was developed to help with facial expression practice in order to express emotions. The developed AI used multimodal inputs consisting of sentences and facial images for deep neural networks (DNNs). The DNNs calculated similarities between the emotions predicted by the sentences and the emotions predicted by facial images. The user practiced facial expressions based on the situation given by sentences, and the AI provided the user with numerical feedback based on the similarity between the emotion predicted by sentence and the emotion predicted by facial expression. ResNet34 structure was trained on FER2013 public data to predict emotions from facial images. To predict emotions in sentences, KoBERT model was trained in transfer learning manner using the conversational speech dataset for emotion classification opened to the public by AIHub. The DNN that predicts emotions from the facial images demonstrated 65% accuracy, which is comparable to human emotional classification ability. The DNN that predicts emotions from the sentences achieved 90% accuracy. The performance of the developed AI was evaluated through experiments with changing facial expressions in which an ordinary person was participated.

• The Transactions of the Korea Information Processing Society
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• v.13 no.6
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• pp.284-290
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• 2024

Speech emotion recognition (SER) is a technique that is used to analyze the speaker's voice patterns, including vibration, intensity, and tone, to determine their emotional state. There has been an increase in interest in artificial intelligence (AI) techniques, which are now widely used in medicine, education, industry, and the military. Nevertheless, existing researchers have attained impressive results by utilizing acted-out speech from skilled actors in a controlled environment for various scenarios. In particular, there is a mismatch between acted and spontaneous speech since acted speech includes more explicit emotional expressions than spontaneous speech. For this reason, spontaneous speech-emotion recognition remains a challenging task. This paper aims to conduct emotion recognition and improve performance using spontaneous speech data. To this end, we implement deep learning-based speech emotion recognition using the VGG (Visual Geometry Group) after converting 1-dimensional audio signals into a 2-dimensional spectrogram image. The experimental evaluations are performed on the Korean spontaneous emotional speech database from AI-Hub, consisting of 7 emotions, i.e., joy, love, anger, fear, sadness, surprise, and neutral. As a result, we achieved an average accuracy of 83.5% and 73.0% for adults and young people using a time-frequency 2-dimension spectrogram, respectively. In conclusion, our findings demonstrated that the suggested framework outperformed current state-of-the-art techniques for spontaneous speech and showed a promising performance despite the difficulty in quantifying spontaneous speech emotional expression.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.157-160
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• 2001

컴퓨터와 주변장치의 급속한 발전은 인간과 컴퓨터 사이의 인터페이스에 많은 변화를 가져왔다. 특히, 인간의 감정을 인식하는 기술은 컴퓨터를 보다 인간 친화적으로 만들기 위한 노력으로, 그 동안 꾸준히 진행되어 왔다. 본 논문에서는 한대의 카메라로 촬영한 영상으로부터 실시간으로 신체움직임이 표현하는 감정을 인식할 수 있는 방법을 제안하고, PC기반의 실시간 감정 인식 시스템을 구현한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.6
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• pp.521-524
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• 2005

This paper is the study on verification when there is a conflict fur degree of software completion. Therefore, in this paper, we propose an weight setting method and show the degree fur importance of each function to obtain the independence for verification. Eventually, we adapted the proposed contents to the specific verification event.