Journal of Information Technology Applications and Management
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v.30
no.5
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pp.83-105
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2023
The purpose of this study was to investigate the impact of investment fund attributes such as fund product characteristics, returns on fund investment (ROI), internal controls, and after service on fund investor behavior based on investment information technology. In addition, we also examined how customers reinvest through emotional immersion, company trust and company satisfaction of investment firms in the context of fund investment. First, empirical results show that fund product characteristics, returns on fund investment, and financial firms' internal controls and after service act as signals to fund investors to shape their reinvestment intentions. Second, while investors are generally perceived to be interested only in investment returns, this study also shows that they consider both fund product characteristics and fund investment returns, which are core attributes of funds, as well as financial firms' internal control and after service, which are non-core attributes. Third, we find that company trust is an important factor in investors' reinvestment intentions, showing that investors are more likely to reinvest in a fund if they perceive the financial firm to be trustworthy and reliable. Finally, these findings emphasize that investors consider not only tangible aspects of fund products, such as fund product characteristics and returns on fund investment, but also intangible factors, such as financial firms' internal control and after service, and trustworthiness. Taken together, another implication is that the more advanced the investment information technology of financial firms, the more trust, satisfaction, immersion, and reinvestment intentions of investors will increase.
The purpose of this study was to investigate the relationship between Martial Violence and Children's Physical, Emotional Abuse. The subjects of this study were 334 children of first, second and third grade in elementary schools located in Pusan and their mothers. Two questionaires were developed for this study. The questionnaire for measuring child abuse(Physical, Emotinal) was composed of 10 and 21 items for children and questionnaire for measuring marital violence perceived by their mothers was composed of 28 items. The results of this study were as follows; 1) There significant correlations between sociodemographic characteristics and Marital Violence. 2) There were significant correlations between sociodemographic characteristics and Children's Physical, Emotional Abuse. 3) There were significant relationships between Marital Violence and Child Abuse.
Hong, Jin Eui;Jung, Hye-Sun;Yim, Hyeon Woo;Jeong, Hyun Suk
Journal of the Korean Society of School Health
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v.34
no.1
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pp.13-21
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2021
Purpose: This research was conducted to investigate the characteristics of emotional exhaustion that Korean school nurses suffer, to suggest policy implications to address this issue, and to propose preventive and supervisory measures regarding emotional exhaustion experienced by school nurses in elementary, middle, and high schools in Korea. Methods: A survey was conducted under the authorization of Chungcheongnam-do Office of Education. Out of 400 copies first distributed, 376 copies were returned. Among the 376 copies, 117 copies which were judged insincere or from teachers with less than 1 year of experience were exclded from the study. Through this process, only 259 copies were finally selected. Results: As a result of assessing the fit of the model, it was found that 𝑥2=67.247 (df=28, p<.001), GFI=.953, AGFI=.911, TLI=0.936, CFI=0.965 and RMSEA=.074. Emotional exhaustion was found to have a direct effect on job demand (β=.26) and an indirect effect on stress response (β=.31). The total effect was β=.57. There was a positive complete indirect effect of β=.52 between emotional intelligence and emotional exhaustion. The total effect was not significant, respectively. Conclusion: Since job demands of school nurses affect emotional exhaustion, it is necessary to reconstruct their jobs and operations to alleviate their job demands.
The digital technology that has brought about the information revolution acts as the causes of multi-faceted socio-cultural phenomena. The spread of the digital environment and the popularity of the digital devices accelerate the phenomenon or the fusion of culture and technology, and such a phenomenon is no exception in the fashion design. Namely, the combination of fashion design and digital-based technology draws more and more attention; Not only the technology is simply applied to the fashion design, but also it is used as an emotional tool to enhance consumers' satisfaction, while some designs and marketing cases stimulating consumers' emotion are highlighted importantly. This study was aimed at surveying and analyzing the contemporary fashion using the digital technology and thereupon, assessing the characteristics of the emotional representations of technology as well as their aesthetic values. To this end, the theory of 'science of emotion and sensibility' was applied to divide the characteristics of emotional technological expressions in the contemporary fashion into immateriality, non-boundary, multi-media and interaction, while the aesthetic values of the emotional technology immanent in the contemporary fashion were categorized into communication & participation, conceptual configuration, physical expansion and variable movement. This study analyzed uses of technology for human emotion and sensibility shown in not only collections but also communication media and exhibition spaces and thereby, suggested the direction for our fashion industry to fulfill consumers' changing needs and advance further.
Journal of the Korean Society of Clothing and Textiles
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v.47
no.5
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pp.873-890
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2023
This study analyzed users' emotional responses to VI character design through YouTube comments. The researchers applied text-mining to analyze 116,375 comments, focusing on terms related to character design and characteristics of VI. Using the BERT model in sentiment analysis, we classified comments into extremely negative, negative, neutral, positive, or extremely positive sentiments. Next, we conducted a co-occurrence frequency analysis on comments with extremely negative and extremely positive responses to examine the semantic relationships between character design and emotional characteristic terms. We also performed a content analysis of comments about Miquela and Shudu to analyze the perception differences regarding the two character designs. The results indicate that form elements (e.g., voice, face, and skin) and behavioral elements (e.g., speaking, interviewing, and reacting) are vital in eliciting users' emotional responses. Notably, in the negative responses, users focused on the humanization aspect of voice and the authenticity aspect of behavior in speaking, interviewing, and reacting. Furthermore, we found differences in the character design elements and characteristics that users expect based on the VI's field of activity. As a result, this study suggests applications to character design to accommodate these variations.
Park, Hye-Young;Jang, Gye-Won;Lee, Gung-Hwa;Lee, Min-Kyung;Lee, Geong-Won;Iim, Yong;Lee, Jong-Ryol;Kim, Hye-Jin
Journal of Korean society of Dental Hygiene
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v.17
no.3
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pp.449-463
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2017
Objectives: The objective of this study was to identify the relationship between emotional labor and occupational stress of the dental hygienists, and the effects of emotional labor on their occupational stress and health problems including depression, anxiety and sleep. Methods: The survey was conducted using the questionnaires about dental hygienists' working in medical institutions in Busan, Gyeongsangnam-do from August 19th and October 7th, 2016. Total of 225 participants were selected for data analyses. Frequency analysis, t-test, ANOVA, Pearson's correlation coefficient analysis, and regression analysis were conducted using SPSS Windows ver. 21.0 program(SPSS Inc., Chicago, IL. USA). Results: The analysis of the factors affecting emotional labor, occupational stress, anxiety, and sleep by participants' characteristics showed that those with higher education level, work position and annual salary had higher emotional labor. In addition, participants who worked 5 days every other week and were responsible for patient consultation had higher emotional labor. The analysis of correlations among emotional labor occupational stress, anxiety, and sleep showed positive correlations between emotional experience and emotional expression, occupational stress and emotional expression, and anxiety and emotional expression. On the other hand, negative correlation was found between anxiety and emotional experience. Regression analysis was conducted to examine the effect of emotional labor on job stress. Emotional labor was a factor affecting job stress and anxiety. Conclusions: In order to improve emotional control and vulnerability to stress among dental hygienists, intra-organizational training opportunities and mental health care strategies are needed. Additional broad-based studies are required to identify the factors affecting the occupational stress and emotional labor and to develop relevant intervention measures.
Objectives: This study was aimed to investigate the emotional state and personality characteristics of alopecia aerata patient and to determine whether these characteristics are similar with those of neurotic patient. Methods : 20 alopecia aerata patients, 20 neurotic patients, and 20 normal healthy controls were studied. Beck Depression Inventory(BDI), State and Trait Anxiety Inventory(STAI) and Korean standardized edition of Catell's 16 Personality factors Questionnaire(16PF) were used for assessment. Results: 1) Total score of BDI was higher in neurosis group than alopecia aerata group and normal control group(p<0.05). Inspire of statistical non-significance, total score of in alopecia aerata group was higher than normal control group. 2) Total scores of state anxiety and trait anxiety in alopecia aerata and neurosis group were significantly higher than normal control group(p<0.001). 3) In first-stratum source traits of 16PF, normal control group was significantly higher than alopecia aerata group and neurosis group in B-factor(intelligence) and C-factor(ego-strength)(p<0.05). Alopecia aerata group and neurosis group were significantly higher than normal control group in O-factor(guilt-proneness) and $Q_4-factor(tension,\;anxiety)$(p<0.001). 4) In second-stratum source traits of 16PF, alopecia aerata group and neurosis group were significantly higher than normal control group in ANX-factor(anxiety)(p<0.05). Conclusions : These results suggest that emotional state and personality characterstics of patients with alopecia aerata are a distinguishable different to compare with normal control, and are very similar with those of neurotic patients. The authors propose that psychiatric management in patient with alopecia aerata will be more benificial.
Journal of the Korea Academia-Industrial cooperation Society
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v.14
no.12
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pp.6218-6226
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2013
The aim of this study was to determine the basis for smooth conduction of business for journalists by identifying the journalists demographic characteristics and the relevance of the physical symptoms and emotional exhaustion. The surveys were carried out from 2013 May 1 to August 31 and the subjects of the surveys were 124 journalists working in the editorial part of 11daily newspaper companies located in Seoul. For data analysis, frequency analysis, factor analysis, and a T-test were performed using the SPSS Win 18.0 program. A p value 0.05 was considered significant. The study showed that there were significant differences in the physical symptoms depending on sex, age, marital status, and rank. In addition, emotional exhaustion was affected by gender, age and Sunday duty cycle etc. The results of this study will provide basic data for preparing a physical and mental health promotion program for journalists by the demographic characteristics.
Objectives: This study aims to serve as basic data for improving human resource management and the quality of work at dental hospitals and clinics by examining the relationship among clinical dental hygienists' emotional labor, job stress, and turnover intention. Methods: A self-reported questionnaire was completed by 220 dental hygienists in hospitals and clinics from March 11 to April 26, 2019. Data were analyzed using SPSS 20.0. For participants' burnout, job stress, emotional labor, and turnover intention based on general and occupational characteristics were analyzed using a t-test and one-way ANOVA. After performing a one-way ANOVA, a Duncan test was performed for mean comparison. Pearson's correlation analysis was conducted to determine correlations between variables, and stepwise multiple regression was performed to examine the factors that affect burnout. Results: Clinical dental hygienists' mean burnout was 3.05 points, and the factors that affect such burnout were turnover intention, job stress, and emotional labor. Burnout was higher when job satisfaction was low, turnover intention was low, and emotional labor was high, with a 29.3% explanatory power. Conclusions: For effective human resource management of dental hygienists, it is necessary to develop and implement programs that can reduce emotional labor and burnout.
The Transactions of The Korean Institute of Electrical Engineers
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v.67
no.11
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pp.1496-1505
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2018
The technology of emotion recognition is necessary for human computer interaction communication. There are many cases where one cannot communicate without considering one's emotion. As such, emotional recognition technology is an essential element in the field of communication. n this regard, it is highly utilized in various fields. Various bio-sensor sensors are used for human emotional recognition and can be used to measure emotions. This paper proposes a system for recognizing human emotions using two physiological sensors. For emotional classification, two-dimensional Russell's emotional model was used, and a method of classification based on personality was proposed by extracting sensor-specific characteristics. In addition, the emotional model was divided into four emotions using the Support Vector Machine classification algorithm. Finally, the proposed emotional recognition system was evaluated through a practical experiment.
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