• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.119-133
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• 2021

Research has been conducted in many fields to identify research trends using text mining, but in the field of emotional labor, no research has been conducted using text mining to identify research trends. This study uses text mining to deeply analyze 1,465 papers at the Korea Citation Index (KCI) from 2004 to 2019 containing the subject word 'emotional labor' to understand the trend of emotional labor researches. Topics were extracted by LDA analysis, and IDM analysis was performed to confirm the proportion and similarity of the topics. Through these methods, an integrated analysis of topics was conducted considering the usefulness of topics with high similarity. The research topics are divided into 11 categories in descending order: stress of emotional labor (12.2%), emotional labor and social support (12.0%), customer service workers' emotional labor (10.9%), emotional labor and resilience (10.2%), emotional labor strategy (9.2%), call center counselor's emotional labor (9.1%), results of emotional labor (9.0%), emotional labor and job exhaustion (7.9%), emotional intelligence (7.1%), preliminary care service workers' emotional labor (6.6%), emotional labor and organizational culture (5.9%). Through topic modeling and trend analysis, the research trend of emotional labor and the academic progress are analyzed to present the direction of emotional labor research, and it is expected that a practical strategy for emotional labor can be established.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3992-3998
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• 2013

This paper is related to the method of adding a emotional speech corpus to a high-quality large corpus based speech synthesizer, and generating various synthesized speech. We made the emotional speech corpus as a form which can be used in waveform concatenated speech synthesizer, and have implemented the speech synthesizer that can be generated various synthesized speech through the same synthetic unit selection process of normal speech synthesizer. We used a markup language for emotional input text. Emotional speech is generated when the input text is matched as much as the length of intonation phrase in emotional speech corpus, but in the other case normal speech is generated. The BIs(Break Index) of emotional speech is more irregular than normal speech. Therefore, it becomes difficult to use the BIs generated in a synthesizer as it is. In order to solve this problem we applied the Variable Break[3] modeling. We used the Japanese speech synthesizer for experiment. As a result we obtained the natural emotional synthesized speech using the break prediction module for normal speech synthesize.

• Journal of Korean Society for Atmospheric Environment
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• v.22 no.4
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• pp.421-430
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• 2006

This paper explores a new methodology of socio-statistical survey to classify environmental perception characteristics and to quantify atmospheric environmental sensitivity of neighboring people around a large industrial complex. In order to compensate intrinsic inclination against environmental problems, Atmospheric Environmental Sensitivity Index (AESI) is proposed as the weighted-summation of four representative questions asking the current status of the local air quality, which are chosen by the factor analysis of questionnaire. Atmospheric environmental perception is tried to be classified into interest/indifference characteristics and rational/emotional perception on environmental issues, positive/negative opinion on the solution of environmental problems. According to the chi-square cross-correlation and two-way layout analyses, it was clearly shown that environmental perception is categorized into two major groups, i.e., the positive-rational group having lower AESI and the negative-emotional group having higher AESI which means more seriously senses the status of local air quality.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.2
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• pp.148-160
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• 2023

Purpose: The purpose of this study was to construct and test a structural model of nursing students' performing communication skills. Methods: The data collection was conducted from October 13 to October 20, 2020. The participants were 286 students from nursing colleges located in three cities. The data analysis method was a covariance structure analysis with using IBM SPSS statistics version 23.0 and AMOS 21.0 statistical programs. Results: The hypothetical model showed a proper fit with the data: root mean square error of approximation=.08, standardized root mean square residual=.06, adjusted goodness of fit=.85, normed fit index=.91, and comparative fit index=.94. The model fit indices were normed to fit index=2.96. Statistically significant explanatory variables for the performing communication skills of nursing students were peer support, emotional intelligence, ethical sensitivity, and communication self-efficacy. The variables accounted for 66.1% of the performing communication skills of nursing students. Conclusion: Based on the above results, it appears necessary to develop strategies for improving the performing communication skills of nursing students, and having positive effects on health outcomes of the subjects by considering the variables of peer support, emotional intelligence, ethical sensitivity, and communication self-efficacy. Such strategies could potentially have positive effects on the health outcomes of the patients.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.113-120
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• 2016

People use social media platforms such as Twitter to leave traces of their personal thoughts and opinions. In other words, social media platforms retain the emotions of the people as it is, and accurately understanding the emotions of the people through social media will be used as a significant index for disaster management. In this research, emotion type modeling method and emotional quotient quantification method will be proposed to understand the emotions present in social media platforms. Emotion types are primarily analyzed based on 3 major emotions of affirmation, caution, and observation. Then, in order to understand the public's emotional progress according to the progress of disaster or accident and government response in detail, negative emotions are broken down into anxiety, seriousness, sadness, and complaint to enhance the analysis. Ultimately, positive emotions are further broken down into 3 more emotions, and Russell emotion model was used as a reference to develop a model of 8 primary emotions in order to acquire an overall understanding of the public's emotions. Then, the emotional quotient of each emotion was quantified. Based on the results, overall emotional status of the public is monitored, and in the event of a disaster, the public's emotional fluctuation rate could be quantitatively observed.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.131-140
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• 2020

In this study, we analyzed the effect of consumer's cognitive response, emotional response and behavioral response on online shopping stockouts (ISRI: Individual Stockout Response Index). And we try to show the heterogeneity of the degree of consumer response by subdivision market based on the regularity of distribution. The ISRI was developed by Kim and Lee in 2016 and 2018, which were based on the items and factors of cognitive, emotional and behavioral responses. The exponential stockouts response of consumers in this study will give an accurate picture of what consumers want when stockouts. further research should be done on how consumers' reactions are influenced by situational characteristics, consumer characteristics, store characteristics and brand / product characteristics. Especially, the price level of the product will affect the consumer 's response in the case of online fashion goods shopping.

• Journal of People, Plants, and Environment
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• v.23 no.1
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• pp.47-53
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• 2020

This study conducted a horticultural therapy program for trainees entrusted to the Juvenile Classification Review Center in order to fill the educational gap while providing emotional stability during the one-month period of commissioned education. The effects of horticultural therapy were examined by the pretest and posttest changes of the emotional items such as anxiety, self-esteem, self-efficacy and stress index. As the research method, this study used the one-group pretest-posttest experimental design on 16 female trainees of commissioned education staying at the Juvenile Classification Review Center in the juvenile reformatory located in A city. The horticultural therapy program was carried out in four sessions: two on flower arrangement and two on planting. The scores before and after the horticultural therapy program were measured using the Revised Children's Manifest Anxiety Scale (RCMAS) to examine the effects of horticultural therapy on the reduction of anxiety for the adolescents staying in the Juvenile Classification Review Center. The results show that there was significant decrease in the mean of anxiety from 62.5 (SD = 6.8) to 57.6 (SD = 8.1) points after the program (p = .002). There was no significant change in self-esteem, which was 76.9 (SD = 11.2) before the horticultural therapy and 78.3 (SD = 8.7) after the therapy (p = .420). In self-efficacy, there was no significant change from 72.9 (SD = 10.9) before and 75.1 (SD = 11.0) after horticultural therapy (p = .178). In order to examine the physiological changes in such emotional functions, this study measured the stress index using the uBioMacpa as the tool. The result of the measurement showed that there was a significant change in the mean from 33.8 (SD = 2.3) before to 31.1 (SD = 2.2) after the horticultural therapy (p < .001).

• The Journal of Korean Academic Society of Nursing Education
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• v.7 no.2
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• pp.183-195
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• 2001

The purpose of this study was to identity the relationship among emotional expression, emotional support, and psychosocial well-being, to analyze the factor affect the psychosocial well-being and to provide the data-based for effective development of emotional education program. The subjects for this study were 553 undergraduate college nursing students. The period of data collection was from 16 to 30, June, 2001. The instruments used for this study were emotional expressiveness scale (EES), ambivalence over emotional expressiveness questionnaire (AEQ), affect intensity measure (AIM), social support scale (SSS), and psychosocial well-being index (PWI). Data were analyzed by use of Descriptive Statistics, ANOVA, t-test, Stepwise multiple regression, Pearson's correlation coefficient with SPSS WIN program. The Major results were as follows: 1. The average score of items for the AIM, EES, AEQ were moderate at 3.8, 3.7 and 3.4. The level of SSS was high at 7.2 and PWI was low at 52.1. 2. Significant correlation were found between the AIM, EES, and AEQ. The EES was positively correlated with the SSS and negatively correlated with the PWI. On the other hand, the AEQ was positively associated with the PWI and negatively associated with the SSS. There was significantly negative correlation between the SSS and PWI. 3. In demographic characteristics, significant difference was shown only in the EES. The EES was significantly different according to grade. The difference in the SSS and PWI between 3groups were significant at the EES and AEQ. 4. Results from hierarchical multiple regression analysis indicated that the EES, AEQ, and AIM had influence on the SSS. And perceived the AEQ and SSS together explained 18.7% of variance in the PWI. The results of study provide evidence about the roles of emotion in psychosocial well-being. As a result, this study suggests that later study would be required to identify factors affect the psychosocial well-being and to develop the emotional education program to enhance emotional expression.

• Journal of Families and Better Life
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• v.33 no.5
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• pp.55-70
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• 2015

The purpose of the study is to examine the effect of personality style and emotional dysregulation on female adolescents' eating attitude, and the mediating effect of emotional dysregulation on the relationship between personality style and eating attitude. For this research, questionnaires on personality style, emotional dysregulation and eating attitude were administered to 1370 female high school students based in Seoul. Among 1370 questionnaires collected, 1239 were selected and statistically analyzed by frequency analysis, Pearson's correlation analysis, multiple regression analysis, and stepwise multiple regression analysis using SPSS Win 21.0. The main findings of the study are as follows: First, according to female adolescents' BMI, the level of their eating attitude differed significantly. Second, according to female adolescents' BMI, female adolescents' personality style and emotional dysregulation were found to affect their eating attitude significantly. Third, emotional dysregulation had a mediating effect on the relationship between female adolescents' personality style and eating attitude. To be more specific, for the normal weight group of female adolescents, emotional dysregulation was found to have a partial mediating effect on the relationship between sociotropy and eating attitude, and a full mediating effect on the relationship between autonomy and eating attitude. On the contrary, for the overweight and obese groups of female adolescents, emotional dysregulation was found to have a full mediating effect on the relationship between sociotropy and eating attitude, and a partial mediating effect on the relationship between autonomy and eating attitude. The results of the study show the ways in which personality and emotional traits contribute to female adolescents' eating attitude according to their BMI, and provide useful information for treatment of adolescents' eating disorder in clinical settings.

• Korea journal of population studies
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• v.31 no.1
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• pp.1-26
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• 2008

This research examines the effect of area level characteristics on individual health, particularly focusing on the vulnerable populations in Seoul. We consider adult individuals whose family income is under 1.5 million won, who are aged 65 and over, or who have neither spouse nor job but aged 40 and over as vulnerable populations. Using the 2005 Seoul Citizens' Health Interview Survey, we conducted multilevel analyses to simultaneously investigate the effect of area and individual level characteristics on health. Between-area variance of self-rated health status was greater for the elderly population than for all populations. Area material deprivation index and happiness index were associated with the self-rated health of economically disadvantaged populations. Vulnerable populations showed greater between-area variances in emotional health than the same for all populations. Area happiness index, material deprivation index, the proportion of households below poverty line and street safety showed statistically significant association with emotional health. The effect of area characteristics were particularly salient for the emotional health of elderly population and its between area variance was also notable.