• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.31-37
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• 2021

Recently, in the market of home appliances, the technical differentiation of products using convergence technology has been receiving a lot of response to satisfy consumer demand. However, air-conditioner products are an area that requires research and development in the early stages of convergence technology. In this paper, it is developed that a non-contact bio-signal(respiration, movement) collection technology using IR-UWB(Impulse-Radio Ultra Wideband) technology, which controls the air-conditioner direction according to the user's location and also monitors sleep to provide an optimal sleep environment. In addition, emotional lighting and ASMR are developed to provide a comfortable and emotional place of life. Finally, based on the developed convergence technology, we develop intelligent smart air-conditioning services for the convenience of daily life and a comfortable resting space.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.727-737
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• 2022

This study was conducted to identify the factors Influencing the burnout of general hospital nurses. Method: The study subjects were 150 nurses in three general hospital. The collected data were analyzed by t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, and Multiple regression analysis. Results: The factors affecting the burnout of the subjects, multiple regression analysis results showed that emotional intelligence(β=-.441, p<.001), emotional labor(β=.403, p<.001), current position was more than responsible nurse(β=-.111, p<.018), and health status was healthy(β=-.100, p<.029). In addition, the F statistics for the fitness of the estimated regression model were 35.51(p<.001), which was very significant. The explanatory power was 79.7%. Conclusion: The results of this study showed that emotional intelligence of the general hospital nurse was the most influential factor on burnout, and the higher the position, the better the health status, the lower the emotional labor, the lower the burnout. Therefore, the results of this study suggest that it is necessary to find ways to reduce emotional labor and improve health and emotional intelligence in order to reduce burnout of nurses, and it is considered to be useful as basic data for developing intervention programs to lower burnout.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.503-512
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• 2011

Recently in HCI research, emotion recognition is one of the core processes to implement emotional intelligence. There are many studies using bio signals in order to recognize human emotions, but it has been done merely for the basic emotions and very few exists for the other emotions. The purpose of present study is to confirm the difference of autonomic nervous system (ANS) response in three emotions (boredom, pain, and surprise). There were totally 217 of participants (male 96, female 121), we presented audio-visual stimulus to induce boredom and surprise, and pressure by using the sphygmomanometer for pain. During presented emotional stimuli, we measured electrodermal activity (EDA), skin temperature (SKT), electrocardiac activity (ECG) and photoplethysmography (PPG), besides; we required them to classify their present emotion and its intensity according to the emotion assessment scale. As the results of emotional stimulus evaluation, emotional stimulus which we used was shown to mean 92.5% of relevance and 5.43 of efficiency; this inferred that each emotional stimulus caused its own emotion quite effectively. When we analyzed the results of the ANS response which had been measured, we ascertained the significant difference between the baseline and emotional state on skin conductance response, SKT, heart rate, low frequency and blood volume pulse amplitude. In addition, the ANS response caused by each emotion had significant differences among the emotions. These results can probably be able to use to extend the emotion theory and develop the algorithm in recognition of three kinds of emotions (boredom, surprise, and pain) by response measurement indicators and be used to make applications for differentiating various human emotions in computer system.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.93-103
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• 2019

This study is aiming tu clarify the factors that influence the interpersonal relationship of nurses and to use them as basic data for the development of educational programs to help nurse 's interpersonal relationship in the clinical field. The subjects were 179 nurses working at 3 hospitals B city and Y city. The results showed that the interpersonal relationship of the subjects were 3.51 points out of 5 points, emotional intelligence had 3.44 points out of 5 points, job enthusiasm was 3.15 points out of 5 points, and moral sensitivity was 4.5 points out of 7 points. The emotional intelligence (${\beta}=.551$, p = .000) was the predictor for the nurse's interpersonal relationship, and emotional intelligence was 37.3% explained by interpersonal relationship of the nurse. In conclusion, higher emotional intelligence, job engagement, and moral sensitivity of nurses showed higher interpersonal relationship, Emotional intelligence was the factor influencing interpersonal relationship. Therefore, it is necessary to develop an educational program to enhance the emotional intelligence of individual nurses to improve interpersonal skills of nurses.

• Journal of Distribution Science
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• v.15 no.6
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• pp.65-76
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• 2017

Purpose - The quality of customer service has been importantly considered as a way of retaining current customers. Recent development of service industry which based on Information & Communication Technology allows firms to utilize different employees for their businesses. Although it is regarded as important to consider emotional labor of employees working for customers in ICT service industry, little was known the role of emotional dissonance. Thus, current paper focused on emotional labor and tried to identify the factors which influence on employees' intrinsic motivation for married women working in call centers. This study highlighted the influence of the emotional dissonance on the employees' intrinsic motivation, and the moderating influences of work-family conflict on the relationship between emotional dissonance and intrinsic motivation. Research design, data, and methodology - The research samples were gathered from seven call centers of Korean financial institutions located in South Korea. The model of emotional dissonance was developed, which emphasizes the influence of emotional dissonance as a predictor on intrinsic motivation, and then the other model was also introduced to explain how employees' intrinsic motivation were aggravated by work-family conflict. To examine these research models, samples were collected from 468 married women working in call centers of Korean financial institutions located in Seoul. A total of 468 samples were used in the analysis after deleting data of missing value. SPSS 22.0 were utilized for data analysis. Results - The results of current study showed that emotional dissonance is negatively related to intrinsic motivation, and there are significant differences in work-family conflict. Those results generally support the proposed hypotheses. Conclusions - These results suggest that the relationship of intrinsic motivation of married women working in call center for customers' service were influenced by emotional dissonance, which outcomes were interacted not by face-to-face contact with their customers, but by emotional contacts. Managerially, these findings suggest the one who emphasize the quality of customer's service of call center need to introduce the programs for minimizing both of emotional dissonance and work-family conflict. These findings also suggest that the service quality via intrinsic motivation of married women working in call center is hard to be accomplished without considering the factors of emotional dissonance and work-family conflict.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.418-425
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• 2011

The purpose of this study was to examine the emotional intelligence, career commitment, turnover intention for nurses and the mediating effect of career commitment on the relationship between emotional intelligence and turnover intention. Data were collected by questionnaires from 200 nurses in the hospitals from August 1 to August 30, 2010. Data were analyzed by Pearson's correlation coefficient and hierarchial regression procedures. The emotional intelligence and career commitment were significantly negative correlation with turnover intention. The emotional intelligence explained 13.9% of career commitment and 2.1% of turnover intention and career commitment explained 32.1% of turnover intention. And career commitment had a mediating effect on the relationship between emotional intelligence and turnover intention. To decrease turnover intention, nursing managers ought to develop the emotional intelligence and career commitment of nurses, reinforce as a mediating role between emotional intelligence and turnover intention. With the help of information technology.

• Journal of Advanced Navigation Technology
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• v.16 no.2
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• pp.318-329
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• 2012

Flight attendants are the most important people which decides customer's satisfaction and service quality toward the airline service. Nowadays the service employees' emotional ability over self and others are considered to be a important service competence. And flight attendants' job performance are achieved in their team system. The purpose of this study is to examine how the service employees' emotional awareness and management abilities can affect their teamwork capability. This study was conducted through literature and empirical methods, and collected questionnaire was analyzed employing SPSS version 15.0 statistics package and AMOS 17.0. The result of this study was found that flight attendants who have high self-emotional ability and social-emotional ability show higher teamwork capability in their flights. It is meaningful because it expanded the range of the researches about the emotional ability and proposed new substructure of researches on the service human resources.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.361-367
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• 2019

The purpose of this study is to examine the high-emotional quality in the design perceived by the Chinese millennials. To do this, we summarized the theoretical concepts of high-emotional quality in design based on the understanding of the characteristics of the millennials. Second, we collected and analyzed the high-emotional quality images thought by 50 millennials living in Beijing, China. Research results showed that high-emotional quality in the design perceived by the Chinese millennials was the innovation of the technology with the change of times, the social superiority that distinguishes me from other groups, and the cultural excellence taking more pride in own culture. This study are expected to be used as the basic data to understand the emotions of the Chinese millennials and to establish a design strategy for them.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4662-4679
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• 2015

Currently, the leakage of internal information has emerged as one of the most significant security concerns in enterprise computing environments. Especially, damage due to internal information leakage by insiders is more serious than that by outsiders because insiders have considerable knowledge of the system's identification and password (ID&P/W), the security system, and the main location of sensitive data. Therefore, many security companies are developing internal data leakage prevention techniques such as data leakage protection (DLP), digital right management (DRM), and system access control, etc. However, these techniques cannot effectively block the leakage of internal information by insiders who have a legitimate access authorization. The security system does not easily detect cases which a legitimate insider changes, deletes, and leaks data stored on the server. Therefore, we focused on the insider as the detection target to address this security weakness. In other words, we switched the detection target from objects (internal information) to subjects (insiders). We concentrated on biometrics signals change when an insider conducts abnormal behavior. When insiders attempt to leak internal information, they appear to display abnormal emotional conditions due to tension, agitation, and anxiety, etc. These conditions can be detected by the changes of biometrics signals such as pulse, temperature, and skin conductivity, etc. We carried out experiments in two ways in order to verify the effectiveness of the emotional recognition technology based on biometrics signals. We analyzed the possibility of internal information leakage detection using an emotional recognition technology based on biometrics signals through experiments.

• Journal of Korea Multimedia Society
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• v.17 no.9
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• pp.1125-1133
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• 2014

Recently, there are many researches have been studying for analyzing user interests and emotions based on users profiles and diverse information from Social Network Services (SNSs) due to their popularities. However, most of traditional researches are focusing on their researches based on single resource such as text, image, hash tag, and more, in order to obtain what user emotions are. Hence, this paper propose a method for obtaining user emotional information by analyzing texts and images both from Instagram which is one of the well-known image based SNSs. In order to extract emotional information from given images, we firstly apply GRAB-CUT algorithm to retrieve objects from given images. These retrieved objects will be regenerated by their representative colors, and compared with emotional vocabulary table for extracting which vocabularies are the most appropriate for the given images. Afterward, we will extract emotional vocabularies from text information in the comments for the given images, based on frequencies of adjective words. Finally, we will measure WUP similarities between adjective words and emotional words which extracted from the previous step. We believe that it is possible to obtain more precise user emotional information if we analyzed images and texts both time.