• 한국체육학회지인문사회과학편
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• v.54 no.2
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• pp.421-430
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• 2015

The purpose of this study was to investigate the effects of Adapted Physical Education Majors' perceived teacher competencies on the emotion reaction towards challenging behaviors of students with disabilities. In order to achieve the object of the study, the data collected from 413 sophomores, juniors, and seniors currently studying adapted physical education in schools located in Seoul, Gyeonggi, Gyeongnam, and Gyeongbuk, where they offer department of adapted physical education, was analyzed. As a measuring tool, Kwon (2008) and Han (2011) questionnaire for adapted physical education educators' perceived teacher competency and Oh, Seo & Kozub's (2010) questionnaire on the emotion reaction towards challenging behaviors of students with disabilities were revised, modified, and reconstructed. Data was processed using SPSS 21.0, and the exploratory factor analysis, reliability verification, difference verification, and multiple regression analysis were performed. The results are as follows. First, in terms of the analysis of emotion reaction based on demographic characteristics (sex, grade, disability in the family, friends with disabilities), sex, grade, and friends with disabilities displayed statistically significant difference on emotion reactions. Second, in terms of the effects of adapted physical education educators' perceived teacher competencies on the emotion reactions on towards challenging behaviors of students with disabilities, the parental education and the special activities of adapted physical education among the sub-factors of perceived teacher competencies affected significantly on emotion reactions, whereas the common knowledge on adapted physical education, curriculum lesson, and education knowledge by disability did not affect significantly on emotion reactions.

• Journal of Information Processing Systems
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• v.17 no.4
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• pp.754-771
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• 2021

In the task of continuous dimension emotion recognition, the parts that highlight the emotional expression are not the same in each mode, and the influences of different modes on the emotional state is also different. Therefore, this paper studies the fusion of the two most important modes in emotional recognition (voice and visual expression), and proposes a two-mode dual-modal emotion recognition method combined with the attention mechanism of the improved AlexNet network. After a simple preprocessing of the audio signal and the video signal, respectively, the first step is to use the prior knowledge to realize the extraction of audio characteristics. Then, facial expression features are extracted by the improved AlexNet network. Finally, the multimodal attention mechanism is used to fuse facial expression features and audio features, and the improved loss function is used to optimize the modal missing problem, so as to improve the robustness of the model and the performance of emotion recognition. The experimental results show that the concordance coefficient of the proposed model in the two dimensions of arousal and valence (concordance correlation coefficient) were 0.729 and 0.718, respectively, which are superior to several comparative algorithms.

• Knowledge Management Research
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• v.15 no.2
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• pp.89-106
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• 2014

As an empirical study on the psychological side effects of using Social Networking Services (SNS), this study aims to identify the reality of negative emotion of using SNS and to predict its consequences. To this end, a measurement tool was developed through literature review, in-depth interview with users and expert review to induce negative emotional factors that can arise while using SNS. An exploratory factor analysis was performed for a total of 24 measurement items, which then were divided into the following 6 factors: 'concern over privacy,' 'burden from undesired connection,' 'relative deprivation,' 'a sense of alienation,' 'concern over reputation' and 'negative feeling about simple relationship.' Also, the relationship between the 6 negative emotional factors and psychological dissonance was analyzed. The results indicate that all the factors, except relative deprivation and a sense of alienation, affect psychological dissonance. It was also found that psychological dissonance, which implies a conflicting condition from using SNS, significantly affects the behavior that possibly reduces and limits the use of SNS. In other words, the users who have experienced psychological dissonance respond passively by avoiding the use of SNS to resolve the dissonance. The results of this study provide the base for explaining the psychological side effects of using SNS, which have been understood at a phenomenal level, such as 'Facebook depression' or 'SNS stress.' In addition, this study is of significance as it helps understand the psychological mechanism by identifying the relationship between negative emotion and use behavior with the theory of cognitive dissonance.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.387-406
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• 2015

Recently emotional labor is an essential situation for hospital employees in relation to surface and deep acting as the core of emotional labor strategies. This study empirically examines the relation between hospital employees' emotional intelligence and emotional labor strategies in the context of emotional labor. For empirical experiments, we conducted a questionnaire survey targeting hospital employees, and we employed the method of Partial Least Squares (PLS) for data analysis. Major findings are as follows. Hospital employees' emotional intelligence including self emotion appraisal, others' emotion appraisal, regulation of emotion, and use of emotion, have a significantly positive effect on hospital employees' deep acting. And hospital employees' deep acting has a significantly positive effect on hospital employees' organizational attachment, knowledge sharing intentions, and innovative activities.

• Science of Emotion and Sensibility
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• v.1 no.1
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• pp.3-11
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• 1998

In an urgent situation of interdisciplinary research and method, we feel eagerly the necessity of discussing the philosophical background of ´the science of emotion and sensibility´. If human cognitive faculties lie in split dualism of sensibility and reason, it is difficult to find out the whole image of just recognition, Therfore, it is so important that we should pursue the interrelational context between reason and sensibility through the rationalization of sensibility and the sensibilization of reason. Both reason and sensibility constitute the immanant system of knowledge, The science of sensitive cognition has lower cognitive faculty in contrast to the science of logic, but commonsense plays a rloe to expand the world knowledge which the logical cognition can not fully accomplish. it is dur task to expand the problem of sensibility from the level of humanities on the ground of the communal to the scientific objecticity, which is based on the observation of natural appearances.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.197-205
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• 2021

In this study, we would like to confirm the impact of emotional intelligence perceived by members of medical institutions on job satisfaction and the mediating effect of self-efficacy. To test the hypothesis of the study, a survey was conducted on members of medical institutions (excluding doctors) in Gyeonggi Province, and statistical analysis was conducted using SPSS 22.0. First of all, the research results showed a positive impact only on use of emotion among the sub-factors of emotional intelligence in the impact relationship between emotional intelligence perceived by members on self-efficacy. Second, in the impact relationship of emotional intelligence on job satisfaction, which is a sub-factor of emotional intelligence, self-emotion appraisal, others' emotion appraisal, regulation of emotion, and use of emotion all showed positive effects. Third, the effect of members' self-efficacy on job satisfaction was also positive, and fourth, the mediating effect of self-efficacy between emotional intelligence and job satisfaction was also confirmed. Therefore, programs to improve members' emotional intelligence and self-efficacy are introduced and institutional needs are required.

• Knowledge Management Research
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• v.22 no.1
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• pp.243-267
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• 2021

Sentiment represents one's own state through the process of change to stimulus, and emotion represents a simple psychological state felt for a certain phenomenon. These two terms tend to be used interchangeably, but their meaning and usage are different. In this study, we try to find out how it affects the helpfulness of reviews by classifying sentiment and emotion through online reviews written by online consumers after purchasing and using various products and services. Recently, online reviews have become a very important factor for businesses and consumers. Helpful reviews play a key role in the decision-making process of potential customers and can be assessed through review helpfulness. The helpfulness of reviews is becoming increasingly important in practice as it is utilized in marketing strategies in business as well as in purchasing decision-making issues of consumers. And academically, the importance of research to find the factors influencing the helpfulness of reviews is growing. In this study, Yelp.com secured reviews on restaurants and conducted a study on how the sentiment and emotion of online reviews affect the helpfulness of reviews. Based on the prior research, a research model including sentiment and emotions for online reviews was built, and text mining analyzes how the sentiment and emotion of online reviews affect the helpfulness of online reviews, and the difference in the effects on emotions It was verified. The results showed that negative sentiment and emotion had a greater effect on review helpfulness, which was consistent with the negative bias theory.

• Knowledge Management Research
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• v.18 no.1
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• pp.139-157
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• 2017

This study proposed that a relationship exists between individual emotions and knowledge sharing (KS) intentions in competitive online advice communities. Through statistical analysis of 220 valid questionnaires collected from qualified community members, we found that individuals' intentions to contribute knowledge were enhanced by playfulness and reciprocity, while their intention to seek knowledge from others was facilitated significantly by needs fulfillment, sense of competition, and playfulness. In addition, we found that playfulness was a common factor that affected the intention to seek, as well as to contribute, knowledge. Specifically, playfulness was a highly significant individual emotion that affected both individuals' intention to contribute and seek knowledge, while reciprocity was significant primarily in individuals' intentions to contribute knowledge. Needs fulfillment and sense of competition were significant emotions that affected primarily individuals' intentions to seek knowledge. Interestingly, the factors that affected the intention to seek knowledge were consistent both in all participants and in the high-level fear group. However, in the low-level fear group, playfulness influenced KS intentions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.7
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• pp.1557-1564
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• 2010

In this paper, we propose a maximum entropy-based emotion recognition model using the individual average difference of emotional signal, because an emotional signal pattern depends on each individual. In order to accurately recognize a user's emotion, the proposed model utilizes the difference between the average of the input emotional signals and the average of each emotional state's signals(such as positive emotional signals and negative emotional signals), rather than only the given input signal. With the aim of easily constructing the emotion recognition model without the professional knowledge of the emotion recognition, it utilizes a maximum entropy model, one of the best-performed and well-known machine learning techniques. Considering that it is difficult to obtain enough training data based on the numerical value of emotional signal for machine learning, the proposed model substitutes two simple symbols such as +(positive number)/-(negative number) for every average difference value, and calculates the average of emotional signals per second rather than the total emotion response time(10 seconds).

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.87-98
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• 2017

The advancements in scientific technology and information network in the 21st century allow us to easily acquire a desired knowledge. In the midst of today's informatization, globalization, and cultural diversification, adolescents experience emotional confusion while accommodating diverse cultures and information. This study aimed at examining three aspects of character suggested by the Ministry of Education, which are ethics, sociality, and emotion, and the actual sub-factors required for character education. To that end, a survey was conducted with adolescents who were at a character-building age, and social network analysis (SNA) was performed to determine the effect of character education on the sub-factors. The statistics program SPSS was used to investigate the general traits of the subjects and the validity of the research variables. The 2-mode data that were finally selected were converted to 2-mode data using NetMinder 4, which is a network analysis tool. Furthermore, a data network was established based on a quasi-network that represents the relationships between ethics, sociality, and emotion. The results of this study showed that the subjects considered honesty and justice to be the sub-domains of the ethics domain. In addition, they identified sympathy, communication, consideration for others, and cooperation as the sub-domains of the sociality domain. Finally, they believed that self-understanding and self-control were the sub-domains of the emotion domain.