• ETRI Journal
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• v.37 no.6
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• pp.1231-1241
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• 2015

In this study, we investigate the relationship between emotions and the physiological responses, with emotion recognition, using the proposed fuzzy information granulation-based neural network (FIGNN) for boredom, pain, and surprise emotions. For an analysis of the physiological responses, three emotions are induced through emotional stimuli, and the physiological signals are obtained from the evoked emotions. To recognize the emotions, we design an FIGNN recognizer and deal with the feature selection through an analysis of the physiological signals. The proposed method is accomplished in premise, consequence, and aggregation design phases. The premise phase takes information granulation using fuzzy c-means clustering, the consequence phase adopts a polynomial function, and the aggregation phase resorts to a general fuzzy inference. Experiments show that a suitable methodology and a substantial reduction of the feature space can be accomplished, and that the proposed FIGNN has a high recognition accuracy for the three emotions using physiological signals.

• Child Health Nursing Research
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• v.25 no.4
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• pp.528-540
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• 2019

Purpose: This study was conducted to design services for improving the quality of care of hospitalized children with acute diseases. Methods: The service design process had four phases: discovery, definition, development, and delivery. The participants were 23 mothers of hospitalized children with an acute disease, and seven nurses and three doctors working at a pediatric hospital. Data were collected through self-report questionnaires, in-depth interviews, and observations. The data were analyzed using content analysis and descriptive statistics. Results: The participants reported needs for explanations about the treatment, skillful nursing, and environmental improvements. The concept of the services was familiarity and enjoyment, aimed at solving the problems of unfamiliarity and boredom. A six-guideline was presented for improving the quality of care of hospitalized children with acute diseases: improvement of awareness, development of educational materials, improvement of skills, environmental improvements, play activities, and evaluations of user satisfaction. Conclusion: These findings indicate that nursing services should deliver familiarity and enjoyment to hospitalized children and their families. The findings of this study emphasize that the service design methodology can be used to improve the quality of care of hospitalized children with acute diseases.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.277-284
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• 2021

This study was conducted to determine the factors affecting employees' engagement in Information Technology (IT) enterprises in Vietnam. Quantitative method was used to test the research model. Research data is collected through a survey of 205 employees working in Ho Chi Minh City - Vietnam IT enterprises. The research results show that all seven factors affecting OC are ability, remuneration, training/development, challenging work, teamwork relationship, company policy, and culture, and work environment all make sense. In which, WOE, TER, REM factors are the three most influential factors, while company CPC, T&D, CHW, ABI have a lower impact. The proposed management implications include building, providing, ensuring a good working environment for employees, building/developing relationships within the company, having a policy of salary, bonus, support, and incentives. In addition, appropriate, competitive remuneration, adequate incentives, and rewards for the efforts that the employee has made, training and development of skills and soft skills suitable for each type of work, development orientations for employees, as well as frequent rotation of positions and jobs, in addition to improving employees' capacity, also avoid causing boredom and loss of motivation at work, thereby increasing OC of employees in IT enterprises in Vietnam.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.8-17
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• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.

• Journal of Korean Elementary Science Education
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• v.40 no.1
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• pp.13-21
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• 2021

This study analyzed the effects of 'online biology learning using E-learning system' on elementary school students' science-related attitudes. Samples of the study were composed of 95 sixth-grade students of N elementary school in Seoul, Korea. The learning was conducted for 11 times over a month. The main results of this study are as follows. First, for the paired t-test, a statistically significant difference between the pre and post scores of science-related attitudes was found. After conducting the online biology learning science related attitudes scores of students generally declined. "The boredom caused by simply watching online biology contents" is the decisive cause of the decline in science-related attitude scores analyzed through interviews. Second, in ANCOVA, according to 'levels of meta-cognition'. there was no statistically significant difference in scores of science-related attitudes. but, there was statistically significant difference in science-related attitudes according to 'adoption of scientific attitudes'. Students of high meta-cognition type showed a greater decline in scores than students of low meta-cognition type. Based on the results of this study, implications for research of online biology education and elementary science education are discussed.

• Journal of Korea Multimedia Society
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• v.24 no.8
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• pp.1035-1043
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• 2021

The shoulder is less stable than other joints, making it easier to onset of various shoulder disorders. In addition, limited range of motion and pain in the shoulder due to shoulder disorders restricts daily life and social activities. The problem with exercise therapy can be reduced in exercise effect by causing boredom through simple repetition of motion, thus reducing the patient's willingness to participate. Therefore, this paper aims to provide a treatment method that can induce active participation of patients by developing devices capable of passive, active, and resistance exercise and serious game contents using them. Furthermore, sEMG was used to verify whether the rotational exercise in the horizontal and vertical using serious game contents helps the shoulder movement actually. The measured sEMG signal was classified as 5 phases according to the angle of rotation and calculated the mean integrated EMG. The mean integrated EMG for the experimental results was higher in all phases when rotational was performed compared to those when both horizontal and vertical rotational exercise remained initial posture, indicating an increase in muscle activity.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.35 no.2
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• pp.107-118
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• 2024

Objectives: This study aims to extract and summarize the literature on the mental health status of patients with monkeypox. Methods: This review was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines using different databases and publishers such as Scopus, Sage, ScienceDirect, PubMed, BMJ, Wiley Online Library, Wolters Kluwer OVID-SP, and Google Scholar. The literature review was based on monkeypox and mental health. The year of publication was 2021-2023, during the monkeypox disease period. Data were extracted from opinions, editorials, empirical studies, and surveys. Results: Based on the literature related to the mental status of patients with monkeypox, the following themes and subthemes were identified: anxiety and depression, self-harm and suicidal tendencies, neuropsychiatric symptoms, mental health, social stigma, sex workers, vaccination, and stress-related diseases. Conclusion: A review of monkeypox virus infection studies reveals that 25%-50% of patients experience anxiety and depression due to isolation, boredom, and loneliness. Factors such as infected people, a lack of competence among healthcare professionals, and shame over physical symptoms exacerbate mental insults. The implications of society include increased self-harm, suicide, low productivity, fear of stigmatization, and transmission of infection.

• Journal of the Ergonomics Society of Korea
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• v.31 no.2
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• pp.271-279
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• 2012

Objective: This study classified three different emotional states(boredom, pain, and surprise) using physiological signals. Background: Emotion recognition studies have tried to recognize human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 122 college students participated in this experiment. Three different emotional stimuli were presented to participants and physiological signals, i.e., EDA(Electrodermal Activity), SKT(Skin Temperature), PPG(Photoplethysmogram), and ECG (Electrocardiogram) were measured for 1 minute as baseline and for 1~1.5 minutes during emotional state. The obtained signals were analyzed for 30 seconds from the baseline and the emotional state and 27 features were extracted from these signals. Statistical analysis for emotion classification were done by DFA(discriminant function analysis) (SPSS 15.0) by using the difference values subtracting baseline values from the emotional state. Results: The result showed that physiological responses during emotional states were significantly differed as compared to during baseline. Also, an accuracy rate of emotion classification was 84.7%. Conclusion: Our study have identified that emotions were classified by various physiological signals. However, future study is needed to obtain additional signals from other modalities such as facial expression, face temperature, or voice to improve classification rate and to examine the stability and reliability of this result compare with accuracy of emotion classification using other algorithms. Application: This could help emotion recognition studies lead to better chance to recognize various human emotions by using physiological signals as well as is able to be applied on human-computer interaction system for emotion recognition. Also, it can be useful in developing an emotion theory, or profiling emotion-specific physiological responses as well as establishing the basis for emotion recognition system in human-computer interaction.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.149-158
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• 2018

VR image content producers are now terrestrial broadcasters, movie studios, game companies, and VR content producers (productions). As the VR market begins to form, investment in VR image content production is also expanding. The terrestrial KBS 'Summter VR' has been produced steadily from 2016 to 2017. 2D and VR images were simultaneously broadcast. If we compare and analyze these two image data, we could get a meaningful presentation. In this paper, 'Summter VR' is analyzed by cutting the image by time. "Summter VR" was using a long take for an average of 30 seconds or more, and at the same time, it was choosing a beautiful place so as not to fall into the boredom of long take directing. Most of the images of 'SummterVR' were long take techniques using the mise en scene VR technique.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.147-152
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• 2020

The purpose of this study was to develop an auxiliary device useful for promoting continued participation in the golf among young golfers and female beginner-level golfers who were gradually increasing in number but often losing interest in the golf and gave up playing golf due to difficulty with posture, boredom from golf itself, slow improvement of skill, etc., in the process of learning the golf. For that, a hardware device fitted with various sensors was attached to the lower part of golf club grip to develop a platform capable of collecting and transmitting the data on each golfer's swing posture, driving distance, etc. If a smartphone app, which can analyze and store those data, is developed and synchronized, each golfer's postures can be identified and golfers can correct the posture on their own. Moreover, the smartphone app provides the contents for self-comparison and comparison with others and will be able to infuse the beginner-level golfers with internal motivation for continued participation in the golfing exercise if the game-type elements are added.