• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.1
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• pp.31-42
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• 2013

Considerations of how to facilitate aging-in-place(AIP) are becoming increasingly pertinent as care-givers are overwhelmed by an aging population. Aging friendly home-care services combined with IT can satisfy the needs of the elderly suffer from chronic diseases such as depression and dementia. Therefore, we propose future smart phone services and application technologies which can estimate emotional states of the aged and respond to the desire to be happy with mental health, connectedness and consolation from peoples. Firstly, we introduce depression measurement techniques to estimate the severity of depression using multiple sensors. At second, the emotional responding services are categorized to four parts and the details are described. Lastly, we propose the process to implement emotional communication and the application techniques(services) to fulfill the emotional satisfaction and mental healthcare for AIP using smart phone as a mediator.

• 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.

• Journal of Oriental Neuropsychiatry
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• v.20 no.3
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• pp.133-147
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• 2009

Objectives : This study has the object to evaluate the effect of meditation at the clinical field and to classify the profer meditation by the emotional states of patients. Methods : Thirty volunteers have been recruited using local advertisement. They devided into two groups(patient group, normal group). Emotional states and stressors (STAI, STAXI, BDI, SCL-90-R, Stress Response inventory, Life event stress) have been evaluated. After that test HRV(Heart Rate Variability) has been tested and subjects took a 5-minute rest. After that, one of meditation has been chosed and has been demonstrated for 10 minutes by practiced trainer(Autogenic Training, Fruit Imaginary Meditation, Random assignment). After 5 minutes resting time, HRV has been measured again with meditation that had been administered. Results : 1. The higher the scale of emotional index, the more sensitively react has been occured according to the meditation. 2. The rate of HRV index that means stable state is higher in Fruit Imaginary Meditation group who thought to be administered meditation well. 3. The Fruit Imaginary Meditation is more effective immediately than Autogenic Training assessed by HRV scale and VAS scale of well-administered meditation especially in patients group. 4. Subjects of Highly suffered emotional problem have more effect in Fruit Imaginary Meditation Group compared to Autogenic Training Group. Conclusions : Suitable beginner meditation course considered patient's emotional problem needs to be programmed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4930-4941
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• 2014

This study had three purposes. First, the effects of job-related affective states on emotional labor (deep acting and surface acting) of employees engaging in service job were examined. Second, previous studies focused on the negative effects of emotional labor on job attitudes. On the other hand, this study dealt with not only the negative effects of emotional labor but also its positive effects. In particular, this study examined the effects of emotional labor on positive job attitudes, such as job commitment and job involvement, as well as negative job attitudes, such as exhaustion and cynicism. Finally, this study examined the mediation effect of emotional labor on the relationship between the job-related affective state and job attitudes. The data was collected from 150 employees working in 15 service firms in Korea. The results were as follows. First, the positive job-related affective state increased the deep-acting. On the other hand, negative job-related affective state increased surface-acting. Second, the main effect of deep-acting on positive job attitudes (dedication and vigor) was significant. In addition, the main effects of surface-acting on the negative job attitudes (exhaustion and cynicism) was significant. Finally, the mediating effect of deep-acting on the relationship between positive job-related affective state and positive job attitudes was significant. In addition, surface-acting mediated the relationship between negative job-related affective state and negative job attitudes. The theoretical and practical implications of this study are provided in the discussion session.

• Korean Journal of Child Studies
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• v.22 no.4
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• pp.167-188
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• 2001

This study investigated the relationship of daily life activity experiences to violent behaviors and their moderating effects on the relationship between stress and violent behaviors in early adolescence. A sample of 134 second year middle school students carried electronic watches for one week and provided reports on their objective activity situation and subjective states when signalled at random times. Stress was positively correlated with violent behaviors. Daily activity experiences were correlated with violent behaviors and moderated the relationship between stress and violent behaviors. More time spent in socializing and passive leisure, and negative emotional states during schoolwork and active leisure were correlated with higher violent behaviors. Lower motivational states during schoolwork were correlated with higher violent behaviors. Lower cognition of importance and attention states during schoolwork and higher cognition of importance and attention states during active leisure and maintenance activities were correlated with higher violent behaviors. Finally, the moderating effects of negative emotion during active leisure, motivation and attention states during schoolwork on the relationship of stress with violent behaviors were found among girls only.

• Human Ecology Research
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• v.52 no.1
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• pp.1-10
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• 2014

The purpose of this study was to analyse the principles and methods of Taegyo-Singi with regard to emotion and to review basic informations on Taegyo programs for promoting prenatal development. Taegyo-Singi was analyzed as follows. First, the contents of Taegyo-Singi were classified into principles and methods of Taegyo. Second, the domains of emotion were categorized into emotional perception, emotional expression, emotional understanding, and emotional regulation based on the classification of Mayer and Salovey, and Moon. Third, the contents of Taegyo-Singi were classified into the four domains of emotion. Finally, the reliability and validity of the classification were obtained through inter-rater agreement and analysis of content validity. The results indicated that first, the principles of Taegyo presuppose parental influence on temperament formation, and that the emotional states of the mother in the prenatal and prepregnancy period is the most influential variable in a child's temperament formation. Second, the methods of Taegyo presuppose that the human mind interacts with their behavior. Therefore, through emotional support of family members, 'jon-sim (the serene mind)' and 'chung-sim (the mind from rectitude)' are the key methods of Taegyo. This means that the Korean tradition of Taegyo focused on the emotional domain of development, especially emotional regulation. This coincides with the emotion-focused temperament theory that individual differences in temperament reflect individual differences in emotion.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.228-232
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• 1997

The special interest should be paid to the analysis of the influences of positive emotions in terms of their possible effects on the dyanmics of autonomic. recovery after the negative affective stimualtion. Taking into account emotion-specific autonomic response patterning and dissociation of parameters of autonomic arousal during experience of both positive and negative emotional states, this problem seems a challenging one. In present study several autonomic parameters were analyzed altogether, namely inedices of electrodermal activity, heart rate and respitation rate during consecutive combination or both IAPS-based visual affective and auditory stimulation. The aim of the study was analysis of patterns of electrodermal and cardiorespiratory responses during emotional states evoked by negative affective visual stimulation followed by positive or neutral auditory one with intention to identify if the latter is able to facilitate post-stress recovery and enhance restoration of pre-arousal levels. The main orientation was dirdcted towards the further application of experimentally induced comfort emotions for dampening the negative consequences of exposure to stressful stimuli.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.120-129
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• 2023

Perspective taking, one's knowledge of their own mental and emotional states and inferences about others' mental and emotional states, is an important higher order cognitive skill required in successful writing. However, there has not been much research on the identification and examiantion of the psychometrics of perspective taking. To fill in this gap, I reviewed the psychological and cognitive frameworks of perspective taking including theory of mind, audience awareness, development of epistemological understanding, and argumentation schema. I also reviewed various methods of examining the psychometric properties of perspective taking in written composition, including both manual and computational approaches. The review of literature yielded suggestions on the development of manual coding scheme for perspective taking as well as the selection of indexes to draw from natural language processing tools. Challenges and affordances of combining the manual and computational approach are discussed along with future research directions to advance the field of psycholinguistics.

• Journal of Families and Better Life
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• v.31 no.1
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• pp.11-27
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• 2013

The purpose of this study was to investigate the overall developmental characteristics of Korean children ages 0 to 8, and then explore specifically how children's social and emotional developmental levels are related to mothers' psychological states. This study was part of newly launched Boryung Baby Panel Study using web-based survey in 2011. The subjects were all mothers of 940 infants(0-2 years), 654 toddlers(3-5 years), and 484 school-age children(6-8 years) The mothers were asked to administer the web-based standardized developmental checklist for their child and fill out the questionnaires of psychological variables(life satisfaction, depression, parenting attitude, parenting efficacy, and parenting stress). The data was analyzed using descriptive analysis, t-test, and logistic regression for SPSS 20.0 windows. Major findings were as follows: 1. Infants(0 to 2) showed higher developmental level in cognition and fine motor skill domain compared to other domains. 2. Most toddlers(3 to 5) showed normal development in the most domain such as gross motor skill, fine motor skill, language, letter, number, self-help behavior. 3. In socio-emotional development domain, the ratio of risk or delay group were highest at both infant and toddler. 4. The 6-8 years old children that belong to risk group by the result of SDQ(emotion and behavior assessment) were also relatively high. 5. The relation of the children's socio-emotional developmental level and the mother's psychological variables were reciprocal. Based on these findings, the implications and the limitations of current study were discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.512-517
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• 2011

In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.