• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.11 no.1
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• pp.110-123
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• 2000

The short-term music therapy was performed for adolescents with conduct disorder admitted to Seoul National Mental Hospital for 3 months from Jun to September, 1998. This case study focused mainly on two female patients who participated regularly in the group music therapy. The music therapy process was divided into three phases；beginning, opening up, and closing. This music therapy session consisted of three parts；hello song as beginning, various musical activities, and sound & movement activity as closing. Free musical improvisation, song discussion, musical monodrama, and sound & movement were the mainly applied techniques. Free improvisation was used to enhance, motivate, identify and contain the adolescents' feelings and ideas. Song discussion was used to convey their thoughts and to support each other. Musical monodrama was used to make them have insights into interpersonal relationships. Sound & movement was used to enhance spontaneity. It made them explore their body and voice as an expressive medium. Throughout three months period of music therapy, patient A's communication skill, socialization, and behavior areas were assessed with improvement. She could use music as a symbolic form and was able to share her feelings about herself and her family. Patient B's self-expression and cognitive areas were assessed with improvement. She became more spontaneous and could verbalize her emotions during the group session. Music as a non-verbal and therefore often a non-threatening medium wherein so much can be expressed provided two female patients an atmosphere where a sense of trust may be regained.

• Journal of Music and Human Behavior
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• v.21 no.1
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• pp.115-132
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• 2024

The purpose of this study was to explore the impact of music therapy on enhancing self-awareness and intrinsic motivation among patients with schizophrenia, particularly those experiencing motivational deficits. This study, primarily based on quantitative analyses supplemented by qualitative insights, included six adults (three males and three females) across 8 weekly sessions proactive music activities based on the exploration of musical emotion, each lasting 60 minutes, from October 5 to November 16, 2023. Data collection and analysis focused on the last five sessions, from the fourth to the eighth. Although no statistically significant changes were detected, likely due to the study's short duration, qualitative data from in-depth interviews indicate that music therapy contributed to enhanced motivation and improved self-perception in participants. They demonstrated better emotional articulation, self-awareness, and communication skills, which not only increased their intrinsic motivation but also led to an improved perception of their life quality. Individual variability was noted, however, indicating that these outcomes could differ among participants. These results highlight music therapy's potential as a valuable intervention for enhancing self-awareness and reigniting motivation in individuals with schizophrenia, suggesting a further research to corroborate these findings over longer periods.

• Journal of Korean Home Economics Education Association
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• v.32 no.4
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• pp.1-18
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• 2020

The purpose of this study is to improve media literacy through home economics education. To this end, in this study, developed were 10 teaching-learning plans, learning activity sheets, and teaching materials for the 'relationship' area, the core concept of the 2015 revised home economics curriculum, using the ADDIE method. Pre- and post-survey results after implementing the developed program showed statistically significant improvements in enhancing participants' ability to access media and critical understanding of media. Through this, also found was that the ability to express and produce one's own thoughts and feelings has improved. As a result of a qualitative analysis, it was found that students who participated in the class experienced an overall change in the performance goals of media literacy, especially in 'critical understanding and evaluation', and improved in media use ethics and social participation consciousness as well. It is significant that this study has developed a program that can foster media literacy in home economics education. It is expected to help improve the acceptability of media literacy education in home economics education, enhancement of the expertise of home economics teachers' media literacy education, and the improvement of teaching and learning activities in the field.

• Korean Security Journal
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• no.13
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• pp.23-45
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• 2007

The object of this dissertation is to teach the divorced inmates the method to deal with the conflicts which they have had. This program constitutes 10 terms session, and the participants are 6 at first, but reduced one latter. In the process of the program, when making nickname, the participants preferred the words that present their personal emotion and experience. And the participation rate by each participants were ascent more and more in accordance with the process. After the whole process of the program, we executed conflict-dealing scale test before and after the program. The result showed that 'Patience' and 'Siloam' presented change from emotional dealing to rational dealing. 'Sea', 'Jin' and 'Birth' presented higher level of emotional dealing than before the test. Therefore Through this result, we knew that conflict-dealing method program improved the skills and abilities which are used for the situation making conflicts.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.168-175
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• 2009

Stanislavsky's acting system is based on the sensory memory of an incident that an actor has actually experienced, but Michael Chekhov insisted that in relation to the acting technique of actors, they should find the virtual and unreal external stimuli caused by emotion and imagination irrespective of their personal experience. As such, Stanislavsky's acting system and Michael Chekhov's acting technique are very different in terms of the acting method used. In actual acting, however, the acting system and the acting technique should have a close relationship. Any acting performed by an actor cannot be totally psychological or physical because the body and the mind cannot be separated. It is for this reason that all kinds of training should be both psychological and physical training and should not be conducted only mechanically. Acting is the ability of actors to imagine the virtual or fictitious reality and to express their indignation ability onstage. As actors stimulate and train their own fantasy and imagination, they can greatly improve their ability to embody or express the inner world of the characters they are portraying in a play.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.321-344
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• 2015

This paper presents a fusion approach to sentiment detection that combines multiple sources of evidence to retrieve blogs that contain opinions on a specific topic. Our approach to finding opinionated blogs on topic consists of first applying traditional information retrieval methods to retrieve blogs on a given topic and then boosting the ranks of opinionated blogs based on the opinion scores computed by multiple sentiment detection methods. Our sentiment detection strategy, whose central idea is to rely on a variety of complementary evidences rather than trying to optimize the utilization of a single source of evidence, includes High Frequency module, which identifies opinions based on the frequency of opinion terms (i.e., terms that occur frequently in opinionated documents), Low Frequency module, which makes use of uncommon/rare terms (e.g., "sooo good") that express strong sentiments, IU Module, which leverages n-grams with IU (I and you) anchor terms (e.g., I believe, You will love), Wilson's lexicon module, which uses a collection-independent opinion lexicon constructed from Wilson's subjectivity terms, and Opinion Acronym module, which utilizes a small set of opinion acronyms (e.g., imho). The results of our study show that combining multiple sources of opinion evidence is an effective method for improving opinion detection performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1576-1583
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• 2014

This study was to investigate the relationship between emotional intelligence and adjustment of college life as well as the effect of emotional intelligence on adjustment of college life in first year nursing college students. The participants were 104 first year nursing college students. Data was collected from June 11 to 13, 2012 and analyzed using descriptive statistics, pearson correlation coefficients and multiple regression. The mean scores for emotional intelligence 3.59 and adjustment of college life 3.01 were above average. A significant and positive correlation was found between emotional intelligence and adjustment of college life. The emotional intelligence predicted adjustment of college life. The strongest predictor on adjustment of college life was emotional recognition and next predictors were in order of empathy and emotional expression among the sub-factors of emotional intelligence. The results of this study suggest that it needs to develop the program for improving the emotional intelligence for better adjustment of college life in college nursing students.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.806-813
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• 2010

Human facial expression shows human's emotion most exactly, so it can be used as the most efficient tool for delivering human's intention to computer. For fast and exact recognition of human's facial expression on a 2D image, this paper proposes a new method which integrates an Discrete Adaboost classification algorithm and a neural network based recognition algorithm. In the first step, Adaboost algorithm finds the position and size of a face in the input image. Second, input detected face image into 5 Adaboost strong classifiers which have been trained for each facial expressions. Finally, neural network based recognition algorithm which has been trained with the outputs of Adaboost strong classifiers determines final facial expression result. The proposed algorithm guarantees the realtime and enhanced accuracy by utilizing fastness and accuracy of Adaboost classification algorithm and reliability of neural network based recognition algorithm. In this paper, the proposed algorithm recognizes five facial expressions such as neutral, happiness, sadness, anger and surprise and achieves 86~95% of accuracy depending on the expression types in real time.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.189-198
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• 2015

This paper is about a serious game controlled by EEG and motion capture. We developed our game for 2 users competitive and its method is as follows. One player uses a controlling interface using EEG signals based on the premise that the player's facial movements are a depiction of the player's emotion and intensity throughout the game play. The other player uses a controlling interface using kinect's motion capture technology which captures the player's vertical and lateral movements as well as state of running. The game shows the first player's EEG as a real-time graphic along the map on the game screen. The player will then be able to pace himself based on these visualization graphics of his brain activities. This results in higher concentration for the player throughout the game for a better score in the game. In addition, the second player will be able to improve his physical abilities since the game action is based on real movements from the player.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.297-320
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• 2018

This study aims to improve the access and retrieval of images and to find a way to effectively generate tags as a tool for providing explanation of images. To do this, this study investigated the features of human tagging and machine tagging, and compare and analyze them. Machine tags had the highest general attributes, some specific attributes and visual elements, and few abstract attributes. The general attribute of the human tag was the highest, but the specific attribute was high for the object and scene where the human tag constructor can recognize the name. In addition, sentiments and emotions, as well as subjects of abstract concepts, events, places, time, and relationships are represented by various tags. The tag set generated through this study can be used as basic data for constructing training data set to improve the machine learning algorithm.