• Journal of Music and Human Behavior
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• v.3 no.2
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• pp.29-44
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• 2006

Trust and understanding relationship promoted between a therapist and a client is the basic building block to successful recovery. Its importance is not only pertaining to the music therapy but also to counseling and psychological therapy. Because of its gnificance, broad spectrum of research has been conducted for quite a long time. Historically, researches have been focused on therapists or client's chological variables rather than emotional effects on each other that occur during the therapy session. Recently researchers turned their attention to emotional relationship between a therapist and a client. With recent advances in the field of music and psychological therapy, subsequent study has been conducted to investigate the role that music plays in the therapeutic relationship. For this research, eleven music therapy sessions were conducted for the adult females who are alcoholics. The first three sessions were of group therapy. Fourth to eleventh therapy session was done individually. Throughout the research case-by-case study has been conducted on the basis of the analysis of video and audio taped materials. Analysis depends heavily on its reference from the Amir's music research of 1990, which used Ferrara's seven phases of phenomenological study. Especially, verbal and nonverbal communications were closely analyzed in musical perspective. Research revealed that music and musical instruments act as a mediator between a therapist and a client. By doing so, it protects a therapist from unnecessary negative emotional displacements of a client and creates mutual reliability between a therapist and a client. Here, research suggests that music and musical instrument play a central role in building relationship between a therapist and a client, and it indicates that it has positive effect on treatment.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.73-85
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• 2013

Nowadays, in today's information society, the importance of the knowledge service using the information to creative value is getting higher day by day. In addition, depending on the development of IT technology, it is ease to collect and use information. Also, many companies actively use customer information to marketing in a variety of industries. Into the 21st century, companies have been actively using the culture arts to manage corporate image and marketing closely linked to their commercial interests. But, it is difficult that companies attract or maintain consumer's interest through their technology. For that reason, it is trend to perform cultural activities for tool of differentiation over many firms. Many firms used the customer's experience to new marketing strategy in order to effectively respond to competitive market. Accordingly, it is emerging rapidly that the necessity of personalized service to provide a new experience for people based on the personal profile information that contains the characteristics of the individual. Like this, personalized service using customer's individual profile information such as language, symbols, behavior, and emotions is very important today. Through this, we will be able to judge interaction between people and content and to maximize customer's experience and satisfaction. There are various relative works provide customer-centered service. Specially, emotion recognition research is emerging recently. Existing researches experienced emotion recognition using mostly bio-signal. Most of researches are voice and face studies that have great emotional changes. However, there are several difficulties to predict people's emotion caused by limitation of equipment and service environments. So, in this paper, we develop emotion prediction model based on vision-based interface to overcome existing limitations. Emotion recognition research based on people's gesture and posture has been processed by several researchers. This paper developed a model that recognizes people's emotional states through body gesture and posture using difference image method. And we found optimization validation model for four kinds of emotions' prediction. A proposed model purposed to automatically determine and predict 4 human emotions (Sadness, Surprise, Joy, and Disgust). To build up the model, event booth was installed in the KOCCA's lobby and we provided some proper stimulative movie to collect their body gesture and posture as the change of emotions. And then, we extracted body movements using difference image method. And we revised people data to build proposed model through neural network. The proposed model for emotion prediction used 3 type time-frame sets (20 frames, 30 frames, and 40 frames). And then, we adopted the model which has best performance compared with other models.' Before build three kinds of models, the entire 97 data set were divided into three data sets of learning, test, and validation set. The proposed model for emotion prediction was constructed using artificial neural network. In this paper, we used the back-propagation algorithm as a learning method, and set learning rate to 10%, momentum rate to 10%. The sigmoid function was used as the transform function. And we designed a three-layer perceptron neural network with one hidden layer and four output nodes. Based on the test data set, the learning for this research model was stopped when it reaches 50000 after reaching the minimum error in order to explore the point of learning. We finally processed each model's accuracy and found best model to predict each emotions. The result showed prediction accuracy 100% from sadness, and 96% from joy prediction in 20 frames set model. And 88% from surprise, and 98% from disgust in 30 frames set model. The findings of our research are expected to be useful to provide effective algorithm for personalized service in various industries such as advertisement, exhibition, performance, etc.

• Journal of Oral Medicine and Pain
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• v.31 no.2
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• pp.127-139
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• 2006

Objectives: To explore the quality of life in patients with temporomandibular disorders and to evaluate it in terms of source and duration of the pain. Methods: A total of 61 patients with temporomandibular disorders participated in this study. According to pain source, they were divided into 2 groups, masticatory muscle pain (MMP) group and intracapsular pain (ICP) group. And each group was divided into acute phase group (pain duration <6 months) and chronic phase group (pain duration=6 months). The Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) was used to measure patients' quality of life. The scores for eight-scale profile and the physical component summary (PCS) and mental component summary (MCS) of the SF-36 were compared between groups (MMP vs. ICP and acute vs. chronic). Student t-test was used to analyze the difference of the scores of the SF-36 between MMP and ICP groups. Results: MMP group showed significantly lower score in the 3 scales of the SF-36 (Role limitations due to emotional problems, Vitality, Bodily pain) when compared to ICP group. In acute phase there was no significant difference between MMP and ICP group in PCS as well as MCS scores, but in chronic phase MMP group showed significantly lower MCS score than ICP group. Conclusions: The masticatory muscle pain in patients with temporomandibular disorders,negatively influences the quality of life especially in chronic phase, and the mental components of quality of life are significantly interfered in the TMD patients with chronic masticatory muscle pain.

• Korean Journal of Occupational Health Nursing
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• v.9 no.2
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• pp.94-109
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• 2000

The chances of disease pattern increased the importance of Health-promoting Lifestyle and a large part of the Health-promoting Lifestyle is associated with individual's habit. Health-promoting Lifestyle among nurses is very important because nurses could be a role model of patients and possibly influence many patients. The purpose of this study was oat on1y to assess how hospital nurses practice their Health-promoting Lifestyle but also to identify those affecting determinants. The subjects were 392 nurses working at 3 different hospital in Seoul. These data were collected by self administered questionnaire from April 27 to May 20, 2000. This study examined Health-promoting Lifestyle using In Sook Park's model, individual characteristics. Behavior-specific Cognitions and Affect factors using Pender's model and tried to fine out their relationships. The instruments used in this study were Health-promoting Lifestyle Profile developed by In Sock Park(1995). Likert's four-point scale was used also in this research. The percentage, mean standard deviation, AVNOVA, Pearson's correlation coefficient and multiple regression in the SAS package were used to analyze the data. The results of this study were as follows; 1. 52.3% of sample were aged between 25 and 29, 67.1% were single, 55.6% were university graduates, 51.8% earned 1.5 to 2.0 million won, 57.9% slept for d to 8 hours, 74.5% stated they were healthy. 2. 32.7% of sample worked in surgical gird department, 82.4% worked in 3 shift, 26.3% have been working as nurses for 5 to 7 years. Average score of Perceived self-efficacy was 3.63, Perceived benefits of action was 3.25, Social support was 2.75, and Perceived barriers to action was 1.87 which was the lowest score. 3. The average score if the performance in Health-promoting Lifestyle variable was 2.45 which was lower than previous study. The sanitary life Was 3.18 which was the highest score, harmonious relationship 3.13, emotional support 2.90. The variable with the highest degree of performance was the sanitary life, whereas the one with the west degree was the health diet. 4. There were no significant difference in perceived benefits of action with individual's a character, but in Perceived bait his of action there were significant differences with age(p<.01), marital status(p<.05), housing(p<.05), and Perceived health status(p<.05). In Perceived self-efficacy, there were significant differences with educational level(p<05), sleeping hours(p<.05), and BMI(p<.05). In Social support here were significant difference with housing and sleeping hours.

• Journal of the Korean Society of School Health
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• v.10 no.1
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• pp.51-63
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• 1997

Changes in disease patterns increase the importance of health-promoting lifestyles in a healthy society. Thus health education in elementary schools is very important because the knowledge of health and health habits in this period become a habitual part of life. The purpose of this study is to identify the performance in promoting healthy lifestyles of elementary school nurses. Such data helps to provide data to judge whether they are capable health educators or not. The subjects were 365 elementary school nurses selected by purposive sample. The data were collected by a self reporting questionnaire from August to October of 1996. The methods used in this study were the health-promoting lifestyle profile developed by Park In Sook (1995) and Licker's flour-point scale. A Cronbach's ${\alpha}$, percentage, mean, standard deviation, ANOVA, Pearson's correlation coffcient and stepwise multiple regression in the SAS package were used to analyze the data. The results of this study were as follows: 1. 37.7% of the sample were aged between 30 and 39 and 33.7% were between 40 and 49. 44.9% of the sample had attended college. 87.7% of the sample were married. 42.5% of the sample were people with a career of 11~20 years, and 26.0% of it had 21 years or more of working experience as an elementary school nurses. 2. The average scores of the family function and the social support were 2.97 and 2.98 respectively. 3. 86.5% of the sample were satisfied with their job. 4. 85.8% of the sample answered that they were healthy and 14.2% answered that they were unhealthy. The average scores of the internal health locus of control and self-esteem were 3.35 and 3.15 respectively. 5. The average score of performance in health-promoting lifestyle variables was 3.16; the average scores for harmonious relationships, regular diet professional health maintenance, sanitary life, self-control, emotional support, diet, rest and sleep, exercise and activity. self-achievement, and diet control were 3.47, 3.30, 2.52. 3.60, 2.92, 3.18, 3.14, 3.11, 2.96, 3.26 and 3.12. The variable with the highest degree of correlation was a sanitary life, whereas the one with the lowest degree was professional health maintenance. 6. A significant difference was found in self-esteem according to age. There was a significant difference in the average score of internal health locus of control according to age and career. 7. There were significant differences in the health-promoting lifestyle performance depending on age, career and monthly household income. The longer the career, the higher the health-promoting lifestyle performance. 8. A weak positive correlation was found between self-esteem and health-promoting lifestyles performance(r=0.417, p<0.001) Also, a weak positive correlation was found between the internal health locus of control and health-promoting lifestyles performance (r=0.386, p<0.001). 9. Heath-promoting lifestyle performance showed significant correlations with family function, social support and job satisfaction. 10. Stepwise multiple regression analysis revealed that the most powerful predictor was the variance of family function. Social support, age, self-esteem, internal health locus of control, perceived heath status and job satisfaction accounted for 55.9% of the variance in heath-promoting lifestyle performance.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.4
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• pp.1-10
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• 2010

The scientific verification of the physiological and psychological effects that result from interaction with green plants would not only provide objective knowledge on the psychological effect of green but would also establish useful grounds for the creation of green spaces that consider human emotions. The present study measured the cerebral activity(cerebral blood flow) and the autonomic nervous system activity (blood pressure, pulse rate, amylase) of fifteen Korean male subjects as they inhaled the natural scent diffused by pine needles. Impression and mood state evaluations of the reactions to the pine scent were carried out using the SD method and POMS. Cerebral activity was observed to be significantly activated in the feeling, judgment, and motor areas of the frontal lobe, as well as the memory area in the temporal lobe. Verbal evaluations by the SD method and POMS indicated a pine scent left natural but stimulated and active impressions, provided vigor, and also reduced confusion. The autonomic nervous system activities, however, showed no significant differences. These findings verified scientifically that a pine scent vitalizes humans both physiologically and psychologically. These results could be useful as fundamental data for the design of green spaces that consider human emotional aspects.

• Journal of Korean Medicine Rehabilitation
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• v.25 no.1
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• pp.77-85
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• 2015

This study analyzed the MMPI (Minnesota Multiphashic Personality Inventory), VAS (Visual Analogue Scale), cervical and lumbar curvature (Cervical angle, Ishihara Index, Lumbar angle, Ferguson angle) and satisfaction score of patient of traffic accident. About 59 cases of patients admitted to the Korean Medicine hospital, MMPI and pain levels (VAS) cervical and lumbar curvature (Cervical angle, Ishihara Index, lumbar angle, Ferguson angle) and satisfaction score were measured and statistically analyzed. Depending on the type of accident divided into two groups of In car TA and Out car TA. After hospitalization, patient's pain index was improved as a whole. Pain index and evaluation of the cervical and lumbar curvature, according to the accident types, the difference was not statistically significant. In the analysis of the MMPI validity scales, In car TA group was analyzed by 'V-shaped', Out car TA group was analyzed by umbrella- shaped, 'inverted V-shaped'. Clinical scales of out car TA group were analyzed by 3-1 profile compared to the In car TA group. Results of multiple regression analysis showed no association between factors and MMPI scales. In the case of a traffic accident patients, damage to the body, as well as emotional and psychological factors are thought to affect the condition or prognosis of patients. In the future, for the management and treatment of these parts will be needed to complement the academic or institutional.

• Korean Journal of Psychosomatic Medicine
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• v.23 no.1
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• pp.12-19
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• 2015

Objectives : This study examined the characteristics and differences of PAI(Personality Assessment Inventory) profile between compensation-seeking(CS) and treatment-seeking(TS) patients with traumatic brain injury(TBI) and assessed the clinical meaning of the characteristics and differences of profiles between the two groups. Methods : 36 TBI patients who visited the Wonkwang University Hospital were selected. The patients were categorized as compensation-seeking TBI patients(n=22) and treatment-seeking TBI patients(n=14). The PAI scales and subscales were used to compare differences between two groups. t-verification for each variable and comparison analysis were performed. Results:In validity scales, CS group showed significantly higher NIM scores and lower PIM scores than TS groups. In full scales, CS group showed significantly higher SOM, ANX, ARD, DEP, and SCZ scores than TS group. In subscales, CS group showed significantly higher SOM-S, ANX-A, ARD-P, DEP(-C, A, P), (MAN-I), PAR-H, SCZ(-T, P), BOR(-A, N), and ANT-S scores than TS groups. In supplementary scales, CS group showed significantly higher SUI, NON and AGG-P, and lower RXR scores than TS group. Conclusions:There were significant differences in PAI scales with validity scales, some full and subscales according to compensation seeking status in TBI patients. The CS patients tended to exaggerate their symptoms on PAI, and showed higher scores representing somatic preoccupation and emotional distress. These results show the usefulness of PAI in reflecting the significant psychological differences between two groups.

• Journal of Oriental Neuropsychiatry
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• v.35 no.1
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• pp.115-140
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• 2024

Objectives: This study investigates the impact of M&L psychotherapy on an adolescent with anxiety disorders transitioning into adulthood, using a retrospective mixed-method approach. Methods: An adolescent with Diagnostic Statistical Manual of Mental Disorders (DSM)-5-diagnosed anxiety disorders underwent combined treatment with M&L psychotherapy and complex Korean medicine therapy over a period of approximately two years. Patient records tracked the diagnosis, treatments, and progress. In-depth interviews were also conducted. The study used a convergent parallel mixed-method approach, integrating quantitative analysis from psychological assessments, including the State-Trait Anxiety Inventory (STAI-X), the Core Seven Emotions Inventory-short form (CSEI-s), and the Minnesota Multiphasic Personality Inventory-2 (MMPI-2), with qualitative analyses of traditional Korean medicine counseling session notes, interviews, and other qualitative psychological assessments. Results: State anxiety decreased from 40 to 36, and trait anxiety decreased from 42 to 34. MMPI-2 L scale scores decreased slightly to 64T, whereas S scale scores increased to 62T, and FRS scores decreased to 70T from an initial score of 78T. Qualitative analysis revealed an increase in the MMPI-2 Es scale, identified as "subjectivity." Joy (喜) emerged as the highest emotional profile score in the CSEI-S. Scores for anger (怒), thought (思), fear (恐), and fright (驚) decreased, indicating improved negative emotions. Qualitatively, expressions of determination to "move forward" and "strengthen the mind" were noted, suggesting enhanced "lower danjeon (下丹田)." Conclusions: Integrating traditional Korean medicine treatment with M&L psychotherapy for a vulnerable adolescent with anxiety disorders demonstrated efficacy. Further research is warranted to substantiate the effectiveness of M&L psychotherapy and advocate for its wider adoption in mainstream practice.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.43-56
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• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.