The Journal of Asian Finance, Economics and Business
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v.9
no.2
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pp.395-407
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2022
This study examines the emotional undercurrents of individual investors. Earlier finance theory was based on the assumption that investors would act rationally. According to the findings, it is the investors' collective expectations and anxieties that have an impact on their investment fortunes. This necessitates a high level of emotional stability on the side of the investors. Investors must have a firm foundation in financial literacy to have the requisite level of emotional stability. This study aims to add to existing theory and practice by analyzing whether investors who have received business-related education are less emotional than those who have not. For the survey inquiry of individual investors, 'fear' and 'love' are considered among the emotional undercurrents of individual investors. The research is based on a survey of 875 individual investors in India, 342 of whom had a business background and the others have none. It has been discovered that no investor, regardless of their level of business education, is emotion-free. Investors with and without a business education display emotional stability in many behavioral aspects of fear and love to varying degrees.
The Journal of Korean Society for School & Community Health Education
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v.15
no.2
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pp.77-89
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2014
Objectives: This study examined the effects of middle school students emotional intelligence on their aggressiveness and interpersonal relationships. Methods: Data were collected by questionnaires from 316 middle school students in Daegu city. To analyze the sample survey data, descriptive statistics, t-test, ANOVA, pearson correlation coefficient and simple regression analysis were performed with SPSS/PC 18.0 program. Results: First, among the general characteristic differences, academic achievement and economic status yielded a significant difference in emotional intelligence. Gender, economic status, and educational background produced a significant difference in aggressiveness, while gender, academic achievement, and economic status showed a significant difference in interpersonal relationships. Second, an examination of the correlation among emotional intelligence, aggressiveness, and interpersonal relationships found that the higher the emotional intelligence, the lower the aggressive, and the higher the interpersonal relationships. Third, general characters and emotional intelligence explain 22% of agressiveness. Gender, age, economic status, and emotional intelligence have a significant influence on agressiveness. Fourth, the general characters and emontional intelligence explain 45,5% of interpersonal relationships. The economic status and emotional intelligence have a significant influence on the interpersonal relationship. Conclusion: Based on the results, the study is of great importance, in that it provides the basis for future studies, which can be used to help school teachers and students' parents understand the importance of adolescents emotional intelligence and promote the students' quality school life.
Background: The current lack of the number of nurses and high nurse turnover rate leads to major problems for the health-care system in terms of cost, patient care ability, and quality of care. Theoretically, burnout may help link emotional labor with turnover intention. The purpose of this study was to investigate the mediating effect of burnout in the association between emotional labor and turnover intention in Korean clinical nurses. Methods: Using data collected from a sample of 606 nurses from six Korean hospitals, we conducted a multiple regression analysis to determine the relationships among clinical nurses' emotional labor, burnout, and turnover intention, looking at burnout as a mediator. Results: The results fully and partially support the mediating role of burnout in the relationship between the subfactors of emotional labor and turnover intention. In particular, burnout partially mediated the relationship between emotional disharmony and hurt, organizational surveillance and monitoring, and lack of a supportive and protective system in the organization. In addition, we found that burnout has a significant full mediation effect on the relationship between overload and conflicts in customer service and turnover intention. Although the mediating effect of burnout was significantly associated with the demands and regulation of emotions, no significant effects on turnover intention were found. Conclusion: To reduce nurses' turnover, we recommend developing strategies that target both burnout and emotional labor, given that burnout fully and partially mediated the effects of emotional labor on turnover intention, and emotional labor was directly associated with turnover intention.
Background and objective: The physical environment where children spend most of their time is closely associated with their emotional development. To improve the emotional health of children, the introduction of natural elements in the indoor space has been suggested, the benefits of which have been shown in preliminary studies. This study aims to examine the effects that a biowall - a wall installation - in a classroom has on the emotional health of children in kindergarten. Methods: A total of four biowalls were separately installed in four kindergarten classrooms at a school in Seoul, South Korea, and the 60 children in these classrooms participated in the study. We assessed the children's emotional intelligence (via an Emotional Intelligence Rating Scale), resilience (via the Devereux Early Childhood Assessment), and eco-friendly attitudes (via the Children's Attitudes Toward Scale) before the installation of the biowalls and then again 3 months later. Results: The children's emotional intelligence, resilience, and eco-friendly attitudes had been significantly improved after the installation of the biowalls (p = .01). The sub-categories of the children's emotional intelligence and resilience were also significantly improved (p < .001). Conclusion: This study demonstrates the potential of biowalls-as an indoor environmental factor-in promoting the healthy emotional development of children. By bringing natural elements into indoor classroom settings, biowalls appear to increase children's direct/indirect contact with nature. To extrapolate the results of the study to the general population, future studies should be conducted with broader age groups.
BACKGROUND/OBJECTIVES: Emotional eating is one of the eating behaviors in which negative emotions affect eating. During the luteal phase, premenstrual syndrome (PMS) and its associated psychological and physical symptoms can appear in some women, and a few of them suffer from premenstrual dysphoric disorder (PMDD), a severe form of PMS. Some women diagnosed with PMS/PMDD experience emotional eating during the luteal phase, which may be a coping mechanism for psychological stress. This study aimed to investigate how PMS/PMDD and negatively perceived stress are related to emotional eating. SUBJECTS/METHODS: A total of 409 women aged 20 to 39 yrs with a body mass index (BMI) ranging from 18.5 to 29.9 kg/m2 participated in this study. Participants who responded to all the questions of the Shortened Premenstrual Assessment Form, Negative Perceived Stress Scale, and Emotional Eater Questionnaire were divided into a PMDD and a non-PMDD group according to the cut-off value for PMDD diagnosis. Independent t-tests and mediation analyses were performed to compare the 2 groups. RESULTS: No significant differences between the 2 groups were found in terms of BMI; however, the average values for emotional eating, PMS, and negative perceived stress of the PMDD group were significantly higher than those of the non-PMDD group. Only negative perceived stress had a significant effect on emotional eating in the non-PMDD group. In the PMDD group, PMS was statistically significant for both negative perceived stress and emotional eating mediated by negative perceived stress. Consequently, it appeared to have a partial or complete mediation depending on the independent variable for the PMDD group. CONCLUSIONS: This study highlights the importance of managing negative perceived stress to control emotional eating in PMS/PMDD for improved women's health.
Purpose - In recent years, management scholars have expressed growing interest in the concept of person-Job fit because of having many benefits for employees' attitudes and behaviors. The related research is needed to determine what specific types of fit are related to each other, and to get important individual outcomes. Person-job fit of employees in service organization plays an important role in company as well as person in service industry. Person-job fit, representing the consistency between person (service provider) and job (service provided to the customers), gives significant and positive effects on the attitude and behavior of service provider. On the basis of the study background, the purpose of this study is as follows. First, we would like to examine the effects of person-job fit of service provider on their emotional intelligence. Emotional intelligence is divided into four sub-factors such as self-understanding, understanding others, emotional utilization, and emotional regulation. Second, we would like to identify the relationships between job satisfaction and sub-factors such as self-understanding, understanding others, emotional utilization, and emotional regulation. Research design, data, and methodology - We performed structural equation model using Spss 18.0 and Amos 20.0 in order to verify the hypotheses. Subjects were golf service assistants who were high-touching service with high degree in interaction and long contact time with customers. 178 out of the total 200 surveys were used in evaluation from helpers of golf service working as full-time service provider after selecting two locations of golf course located near Busan. From the evaluation of reliability and validity with variables used in this research, they satisfied and confirmed certain standard. Results - The results are as follows. First, as the results of identifying the relationships between person-job fit and emotional intelligence of service provider, person-job fit did not have positive and significant effect on self-understanding. On the other hand, it affected positively and significantly other factors in emotional intelligence such as emotion to others, emotional utilization, and emotional regulation. Second, as the results of identifying the relationship between emotional intelligence and job satisfaction, sub-factors in emotional intelligence such as emotion to others, emotional utilization, and emotional regulation except self-emotion affected significantly and positively job satisfaction. However, self-emotion did not have significant and positive effects on job satisfaction. Conclusion - These results will be valuable and used for service providers. In addition, many service providers will recognize that person-job fit is very important to get a job. This research has a purpose on the assumption that appropriateness between individual and task in service industry shall act as major influence in emotional intelligence of service provider. Recognitive ability of service provider is also very important per characteristics of service, but emotional intelligence that interacts and connected directly with most customers can be a very meaningful factor as well. Emotional intelligence allows people to recognize, understand, and empathize the emotion of customers shall be a positive reinforcement for customers to evaluate the service ultimately.
Objective: The aim of this study is to compare results of emotion recognition by several algorithms which classify three different emotional states(happiness, neutral, and surprise) using physiological features. Background: Recent emotion recognition studies have tried to detect human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 217 students participated in this experiment. While three kinds of emotional stimuli were presented to participants, ANS responses(EDA, SKT, ECG, RESP, and PPG) as physiological signals were measured in twice first one for 60 seconds as the baseline and 60 to 90 seconds during emotional states. The obtained signals from the session of the baseline and of the emotional states were equally analyzed for 30 seconds. Participants rated their own feelings to emotional stimuli on emotional assessment scale after presentation of emotional stimuli. The emotion classification was analyzed by Linear Discriminant Analysis(LDA, SPSS 15.0), Support Vector Machine (SVM), and Multilayer perceptron(MLP) using difference value which subtracts baseline from emotional state. Results: The emotional stimuli had 96% validity and 5.8 point efficiency on average. There were significant differences of ANS responses among three emotions by statistical analysis. The result of LDA showed that an accuracy of classification in three different emotions was 83.4%. And an accuracy of three emotions classification by SVM was 75.5% and 55.6% by MLP. Conclusion: This study confirmed that the three emotions can be better classified by LDA using various physiological features than SVM and MLP. Further study may need to get this result to get more stability and reliability, as comparing with the accuracy of emotions classification by using other algorithms. Application: This could help get better chances to recognize various human emotions by using physiological signals as well as be applied on human-computer interaction system for recognizing human emotions.
The present study was conducted to investigate how emotional expression change, test delay, and background influence on face recognition. In experiment 1, participants were presented with negative faces at study phase and administered for standard old-new recognition test including targets of negative and neutral expression for the same faces. In experiment 2, participants were studied negative faces and tested by old-new face recognition test with targets of negative and positive faces. In experiment 3, participants were presented with neutral faces at study phase and had to identify the same faces with no regard for negative and neutral expression at face recognition test. In all three experiments, participants were assigned into either immediate test or delay test, and target faces were presented in both white and black background. Results of experiments 1 and 2 indicated higher rates for negative faces than neutral or positive faces. Facial expression consistency enhanced face recognition memory. In experiment 3, the superiority of facial expression consistency were demonstrated by higher rates for neutral faces at recognition test. If facial expressions were consistent across encoding and retrieval, memory performance on face recognition were enhanced in all three experiments. And the effect of facial expression change have different effects on background conditions. The findings suggest that facial expression change make face identification hard, and time and background also affect on face recognition.
Journal of the Korean Society for Precision Engineering
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v.20
no.5
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pp.116-123
/
2003
These days, the researches related with the emotional robots are actively investigated and in progress. And human language, expression, action etc. are merged in the emotional robot to understand the human emotion. However, there are so many sound sources and background noise around the robot, that the robots should be able to separate the mixture of these sound sources into the original sound sources, moreover to understand the meaning of voice of a specific person. Also they should be able to turn or move to the direction of a specific person to observe his expression or action effectively. Until now, the researches on the localization and separation of sound sources have been so theoretical and computative that real-time processing is hardly possible. In this reason for the practical emotional robot, fast computation should be realized by using simple principle. In this paper the methods for detecting the direction of sound sources by using the phase difference between peaks on spectrums, and the separating the sound sources by using fundamental frequency and its overtones of human voice, are proposed. Also by using these methods, it is shown that the effective and real-time localization and separation of sound sources in living room are possible.
Objective: The aim of this study is to introduce a methodology to assess driver's emotion stability by using bio-signals. Background: Psychophysiological analysis of driver's behavior has been conducted to improve the driving safety and comfort. However, the variability of bio-signal and individual difference made it difficult to assess the psychophysiological status of drivers that can be expressed as emotional stability of drivers. Method: Two experimental studies were reviewed and summarized. New techniques assessing emotional stability of drivers were explained. Statistical concept and multidimensional space were used to identify the emotionally stable conditions. Conclusion: Psychophysiological approach can provide information of driver's emotional status. The experimental methodology and algorithm used in this study showed the possibility of parameterization of psychophysiological response. Application: Currently measured statistical and geometrical data can be further applied to develop an interactive device monitoring and reacting driver's emotion when driver experiences emotionally unstable or uncomfortable situation.
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