• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.336-343
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• 2017

In this study, we analyze the relationship between long-term care workers' emotional labor, professional quality of life, and service quality. The subjects of this study were 211 long-term care workers working in long-term care facilities. Self-administered questionnaires were used. In the research model, emotional labor(surface behavior, internal behavior) was verified using independent variables, with professional quality of life (compassion satisfaction, compassion fatigue) as the parameters and service quality as the dependent variables. The results of this study are as follows. First, the fit of the model was good. Second, the direct effects of emotional labor on service quality were not significant. However, there was a positive correlation between internal behavior and service quality, and a negative correlation between surface behavior and service quality. Third, professional quality of life(empathy satisfaction) was the most influential variable in terms of service quality. The results of this study demonstrate the necessity to payclinical and academic attention to long-term care workers' emotional labor and quality of life.

• Journal of Music and Human Behavior
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• v.10 no.1
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• pp.67-83
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• 2013

Assessment in music therapy is a vital part for both the therapist and client in the process of therapy. Based on what is assessed, objectives are identified to formulate specific action procedures and strategies. The existing assessment tools involve lists of skills and behaviors in developmental domains without the music assessment protocol. In this study, the authors attempted to develop an assessment protocol using rhythm production for assessing skills in cognitive and emotional-behavior domain, namely Music Therapy Assessment for Cognitive and Emotional Behaviors (MACEB). The test items of the MACEB-Rhythm were developed using rhythmic patterns varying in terms of item difficulty, which are based on the various degree of clarity in the grouping/gestalt, saliency in part-whole relationship, and complexity in repetition vs. variability. Also the developed tool purported to examine one's level of emotional behavior trait by analyzing performance of musical parameters such as tempo, pacing, and loudness in the reproduced output. In order to verify the logical sequencing of test items, firstly 61 subjects participated in verifying the item difficulty for the selected 15 pilot items. The test items were revised and re-sequenced based on the gathered scores of item difficulty. In the second procedure, seven experts in the fields of music education, music therapy and music psychology whose research interest lie in music cognition revised the developed rhythm protocol items focusing on learning sequence, cognitive process and feasibility for skills assessment. The study attempted to provide foundations for using rhythm as an assessment protocol prior to its verification of assessment validity and reliability.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.562-567
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• 2009

As a key mechanism of the human emotion interaction, Facial Expression is a powerful tools in HRI(Human Robot Interface) such as Human Computer Interface. By using a facial expression, we can bring out various reaction correspond to emotional state of user in HCI(Human Computer Interaction). Also it can infer that suitable services to supply user from service agents such as intelligent robot. In this article, We addresses the issue of expressive face modeling using an advanced active appearance model for facial emotion recognition. We consider the six universal emotional categories that are defined by Ekman. In human face, emotions are most widely represented with eyes and mouth expression. If we want to recognize the human's emotion from this facial image, we need to extract feature points such as Action Unit(AU) of Ekman. Active Appearance Model (AAM) is one of the commonly used methods for facial feature extraction and it can be applied to construct AU. Regarding the traditional AAM depends on the setting of the initial parameters of the model and this paper introduces a facial emotion recognizing method based on which is combined Advanced AAM with Bayesian Network. Firstly, we obtain the reconstructive parameters of the new gray-scale image by sample-based learning and use them to reconstruct the shape and texture of the new image and calculate the initial parameters of the AAM by the reconstructed facial model. Then reduce the distance error between the model and the target contour by adjusting the parameters of the model. Finally get the model which is matched with the facial feature outline after several iterations and use them to recognize the facial emotion by using Bayesian Network.

• Horticultural Science & Technology
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• v.28 no.6
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• pp.1066-1071
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• 2010

To evaluate the effect of horticultural therapy (HT) on the emotional improvement of depressed patients, computer-based heart rate variability (HRV) was compared with self-report scale (SRS) known as existing subjective evaluation method. SRS included four test areas: mental stress scale (MSS), physical stress scale (PSS), Beck anxiety inventory (BAI), and Beck depression inventory (BDI). HRV was itemized into four parameters: standard deviation of the N-N intervals (SDNN), square root of mean squared difference of successive N-N intervals (RMSSD), total power (TP), and low-frequency/high-frequency ratio (LF/HF ratio). Thirty patients with depression at the same mental hospital participated in this study. 15 patients of the treatment group received HT once a week for three months, but the control group did not during the same period. As a result, the emotional improvement in treatment group was clearly identified through HRV as well as SRS. The significant difference was shown at three test areas (MSS, BAI, and BDI, $p$ < 0.001) in SRS and at one parameter (total power, $p$ < 0.05) in HRV. There was noticeable increase in SDNN, RMSSD, and LF/HF ratio in treatment group after HT activity, but no significant difference. Although all parameters of HRV did not show significance, the possibility of HRV as an objective evaluation method to HT was recognized in this study. These results also implied that HT was efficient in the mental and physical regeneration of the depressed patients in both subjective and objective evaluation methods.

• Sleep Medicine and Psychophysiology
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• v.1 no.2
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• pp.163-171
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• 1994

Objectives: Symptoms of sleep apnea consisted of insomnia, excessive sleepiness during daytime, impaired cognitive functions and emotional disturbances. It was not so well known how these symptoms are correlated with various parameters of sleep and respiration, and what kind of psychophysiological processes are involved in development of these symptoms. Methods: In sixty patients with sleep apnea, sleep and respiration were studied by polysomnography of one night, also symptoms of sleep apnea were evaluated with the scales of insomnia, daytime sleepiness, emotional disturbance and cognitive impairment We studied correlations between apnea symptoms, and various parameters of sleep and respiration such as sleep efficiency, number severity of apnea, $O_2$ desaturation and number of snoring. Results: The result showing significant correlations are as follows. The patients with better sleep in insomnia scale showed more number of apnea, particularly more central type, and much more snoring in stage 3 sleep and mild desaturation of $O_2$. Excessive sleepiness during daytime correlated significantly with stage 1 sleep and its snoring, but correlated negatively with stage 2 sleep. However, no significant correlation was found with degree of $O_2$ desaturation. Emotional disturbance was more apparent in the patients with severe $O_2$ desaturation and smaller amounts of stage 4 sleep. Cognitive function was more impaired in cases of more REM sleep and less apnea. Conclusions: Symptoms of sleep apnea may occur through different causes and processes. The evaluation of apnea symptoms may be helpful to understand in some degree the condition of sleep and respiration during sleep in clinical setting.

• Journal of Distribution Science
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• v.12 no.8
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• pp.31-42
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• 2014

Purpose - Recently, a variety of activities for practicing the continuing management of domestic and foreign companies have been conducted and further, corporate social responsibility for maximizing the value of stakeholders such as customers, cooperative companies, and the local community emerges as a key business strategy. Accordingly, the issue of whether corporate image and customer value through corporate social responsibility activities positively affect customer loyalty and customer attitude is investigated in this study. Research design, data, and methodology - Corporate social responsibility activities are classified into legal and moral activities, environmental protection activities, economic activities, and community service activities; further, customer values are classified into emotional value, functional value, and social value, to determine the parameters. In addition, the strategic approach direction of social responsibility activities is justified as a strategy for effectively achieving the expected results that corporations seek by proving the effect of these parameters on customer loyalty. Results - The study results can be summarized as follows. First, legal and moral activities, environmental protection activities, economic activities, and community service activities are four types of CSR activities affecting meaningful improvements in corporate image. Second, legal and moral activities affect factors that meaningfully improve customer value, including factors such as emotional value, functional value, and social value, while environmental protection activities affect improvements in the factor of social value only. Third, corporate image affects meaningful improvements in customer value. Fourth, corporate image affects improvements in customer loyalty positively. Fifth, the three factors of customer value, that is, emotional value, functional value, and social value affect meaningful improvements in customer loyalty. Sixth, customer value acts to partly mediate the effect of companies' CSR activities on customer loyalty. As shown in the study results above, it was verified that CSR activities affect meaningful improvements in corporate image and customer value and, in turn, corporate image and customer value affect meaningful improvements in customer loyalty. In addition, it was verified that customer value acts to partly mediate the effects of companies' CSR activities on customer value. Conclusions - Accordingly, the results of this study suggests as follows. First, it was clearly verified that customers' recognition of CSR efforts has a positive effect on corporate image, customer value, and loyalty because CSR activities improve the relationships between customers and corporations by providing customers with value. Second, it was suggested that corporations implement social contribution activities strategically according to the theory that the higher the rate of CSR activities, the better the corporate image and repurchase intention would be, which is a theory verified through practical analysis. Corporations should do this by constructing positive relationships from the value perceived by customers. To summarize the study results in a brief manner, it is suggested by the results of the study that a corporation should conduct CSR more actively to make customers recognize the positive image of their products and services.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.104-112
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• 2021

In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

• Science of Emotion and Sensibility
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• v.12 no.3
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• pp.317-324
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• 2009

The aim of this study was to determine whether or not cardiovascular reactivity parameters serve as good indicators in identifying differential emotion in children. The study particularly focused on five emotions(i.e., happiness, sadness, anger, stress, and boredom), thus, study participants were introduced to a combination of music, color, stories, and dolls to induce complex emotions. During the experiment, corresponding cardiovascular reactivity in response to the conditioned stimuli were recorded on physiological parameters including HR, RSA, HRV, HF HRV, LF HRV, and FPV. After the cardiovascular reactivity responses were measured, participants rated on the types and intensity of emotions they had experienced during the emotional stimuli exposure. Results on psychological response show that four emotions except for stress were appropriately and effectively induced participants by emotional stimuli. Findings of physiological responses suggest that, except for RSA, all of the physiological indicators show significant differences among five emotions. This indicates that children' emotions can be measured and differentiated by cardiovascular reactivity, or in other words, emotion specific responses have the ability to distinguish different emotions in children.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1663-1670
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• 2014

Stress is closely associated with oral diseases, being considered to be one of important variables to affect the improvement of oral health and the quality of life. In this study, a survey was conducted on 550 adults from July 1, 2012, to February 28, 2013. A path analysis was carried out to determine the influence of physical stress symptoms and psycho-emotional stress symptoms on dry mouth, oral mucosal disease and halitosis symptoms. The findings of the study were as follows: Oral mucosa affected halitosis in a direct effect and dry mouth exerted a direct influence on that as well. When stress symptoms affected halitosis, dry mouth and oral mucosa had an indirect impact on that as parameters. Dry mouth exercised a direct influence on oral mucosa. The above-mentioned findings suggested that the physical stress symptoms and psycho-emotional stress symptoms of the adults affected their dry mouth, oral mucosal disease and halitosis both in direct and indirect effects. As the stress of adults is closely bound up with their oral diseases, how to properly cope with stress should carefully be considered in order for them to lead a better life.

• Phonetics and Speech Sciences
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• v.8 no.4
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• pp.89-95
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• 2016

The purpose of this work is to analyze and synthesize the pseudo-periodicity of voice using a source model. A speech signal has periodic characteristics; however, it is not completely periodic. While periodicity contributes significantly to the production of prosody, emotional status, etc., pseudo-periodicity contributes to the distinctions between normal and abnormal status, the naturalness of normal speech, etc. Measurement of pseudo-periodicity is typically performed through parameters such as jitter and shimmer. For studying the pseudo-periodic nature of voice in a controlled environment, through collected natural voice, we can only observe the distributions of the parameters, which are limited by the size of collected data. If we can generate voice samples in a controlled manner, experiments that are more diverse can be conducted. In this study, the probability distributions of vowel pitch variation are obtained from the speech signal. Based on the probability distribution of vocal folds, pulses with a designated jitter value are synthesized. Then, the target and re-analyzed jitter values are compared to check the validity of the method. It was found that the jitter synthesis method is useful for normal voice synthesis.