• Journal of Korean Elementary Science Education
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• v.26 no.1
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• pp.1-11
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• 2007

The purpose of this study was to investigate interaction patterns and characteristics of small group discussions during elementary school science classes. Four heterogeneous groups were formed according to preferences and non-preferences, consisting of male and female students. Verbal interactions during small group discussions were audio and videotaped, transcribed and analyzed. The interaction frequency of each group was compared in terms of their cognitive and affective aspects. The results in terms of the cognitive aspect showed that there were no significant differences in the frequency of interaction between preference and non-preference groups' verbal behaviors. However, the quality of interaction was superior and the number of high level types of interaction were more frequent in the preference group. From the affective perspective, both groups of students exhibited a positive attitude in the preference group and a negative attitude in the non-preference group. The differences of interaction between the male and female student's groups were that in the case of the female group, the frequency and the quality of interaction was higher. Moreover, in contrast to male students, female students revealed satisfaction and favorable attitudes in their non-preference group because they felt more a acceptable atmosphere and attitude in that group. These results suggest that the interactions of the preference group are more interactive and elaborate in nature than those of the non-preference group.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2475-2482
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• 2010

This study aimed to evaluate correlation between self-evaluation factors(satisfaction, linkage with major, suitability of management, verbal and non-verbal communication) and academic achievement of medical students according to introduction of explanation meeting in cadaveric dissection. The study was carried out that medical students(n=57) explained cadaveric structure to health allied sciences students and discussed with each other. Just after the meeting,, medical students filled out a questionnaire on impact of self-evaluation factors and communication. We analyzed these factors and their scores using frequency analysis, T-test and analysis of variance. Regardless of their gender, age, previous experience, the majority of the students gave high scores in all of self-evaluation factors. Among them, only verbal communication factor was closely related to their academic achievement(p<0.05). The verbal and non-verbal communication also had a high correlation of 0.673(p<0.01). The explanation meeting provided chance to learn further with positive attitude to medical students and motivated them academically. Additionally, they realized that communication skill played a key role in transmitting medical knowledge to others. Therefore, introduction of communication-based explanation meeting would be very useful tool in improving educational efficiency.

• Korean Journal of English Language and Linguistics
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• v.4 no.2
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• pp.117-149
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• 2004

The paper is to argue against the asymmetric CP-V2 analysis of Old English, according to which finite verbs invariably undergo movement into a clause-final T within subordinate clauses and reach the functional head C within main clauses. The asymmetric CP-V2 analysis, first of all, faces difficulty in explaining a wide range of post-verbal elements within subordinate clauses. To resolve the problem, the analysis has to abandon the obligatoriness of V-to-T movement or introduce various types of extraposition whose status is dubious as a legitimate syntactic operation. Obligatory V-to-T movement in Old English lacks conceptual justification as well. Crosslinguistic evidence reveals that morphological richness in verbal inflection cannot entail overt verb movement. Moreover, the operation is always string-vacuous under the asymmetric CP- V2 analysis and has no effect at the interfaces, in violation of the principle of economy. The distribution of Old English finite verbs in main clauses also undermines the asymmetric CP-V2 analysis. Conceptually speaking, a proper syntactic trigger cannot be confirmed to motivate obligatory verb movement to C. The operation not only gets little support from nominative Case marking, the distribution of expletives, or complementizer agreement but also requires the unconvincing stipulation that expletives as well as sentence-initial subjects result from string-vacuous topicalization. Finally, textual evidence testifies that Old English sometimes permits non-V2 ordering patterns, many of which remain unexplained under the asymmetric CP-V2 analysis.

• Archives of design research
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• v.20 no.1 s.69
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• pp.55-64
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• 2007

Non-verbal communications are important because they support and replace verbal communication. Body language of various non-verbal communications is the communication using the body. In animation, expression of body language is very important because characters play an important role in communicating the scenario. Animation has a dual communication structure, different from general communication. One is the communication between the speaker character and the hearer character, the other is the image and the audience, which includes the communication between the speaker character and the hearer character. In this study, we divide the body language from the characters into the discourse-in act and discourse-out act according to this dual structure and classify it into adaptors, emblem, illustrator, regulator, affect display by a functional approach method. Especially, the illustrator is subdivided into pragmatic speech act. Finally, this study analyzes the features of body language in animation and represents animation character's body language for an effective expression of the communications in animation.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.8 no.1
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• pp.123-132
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• 1997

The purpose of this paper is to introduce the current trends of British Music Therapy and its effectiveness as a therapeutic intervention for the autistic children. This paper consists of two parts；Part one will provide a general picture of music therapy by looking at its fundamental concepts and therories. Part II(two case studies) will illustrate the actual processes of music therapy which can engender a therapeutic relationship between the therapist and the autistic child. Through the first case study of Charlie, a 3 year and 9 month non-verbal autistic boy, we shall see how music therapy facilitates both non-verbal and verbal communication and a form of pretend play. The second case of Mark, a 10 year old autistic boy with complex emotional, behavioural and learning difficulties who had been sexually abused in the past, presents how the therapist’ acceptance of the child’ being and the shared experience of music therapy enable the child to express his difficulties and to develop the awareness of self and others. By exploring both musical and interpersonal aspects of music therapy, this gives an in depth examination of therapeutic processes. In order to clarify clinical procedure, this paper is viewed in musical, developmental and psychodynamic perspectives. To ensure confidentiality, the clients will be referred to by alter-native forenames.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.2363-2374
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• 2016

Communication occurs through verbal elements, which usually involve language, as well as non-verbal elements such as facial expressions, eye contact, and gestures. In particular, among these non-verbal elements, gestures are symbolic representations of physical, vocal, and emotional behaviors. This means that gestures can be signals toward a target or expressions of internal psychological processes, rather than simply movements of the body or hands. Moreover, gestures with such properties have been the focus of much research for a new interface in the NUI/NUX field. In this paper, we propose a method for recognizing the number of fingers and detecting the hand region based on the depth information and geometric features of the hand for application to an NUI/NUX. The hand region is detected by using depth information provided by the Kinect system, and the number of fingers is identified by comparing the distance between the contour and the center of the hand region. The contour is detected using the Suzuki85 algorithm, and the number of fingers is calculated by detecting the finger tips in a location at the maximum distance to compare the distances between three consecutive dots in the contour and the center point of the hand. The average recognition rate for the number of fingers is 98.6%, and the execution time is 0.065 ms for the algorithm used in the proposed method. Although this method is fast and its complexity is low, it shows a higher recognition rate and faster recognition speed than other methods. As an application example of the proposed method, this paper explains a Secret Door that recognizes a password by recognizing the number of fingers held up by a user.

• Journal of Families and Better Life
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• v.29 no.3
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• pp.43-57
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• 2011

Chronic mental-handicapped people are lacking in non-verbal expression such as eye contact, intonation, voice volume, facial expression, and gesture as well as the contents of speech, speak with a monotonous voice, fail to be vivid and clear in voice, and have absence of expression, thereby bringing about difficulty even for social adjustment and about low self-esteem. Accordingly, the purpose of this study was to examine effectiveness for enhancing self-expression and self-esteem by applying music therapy to the chronic mental-handicapped. The subjects were the chronic mental-handicapped who receive rehabilitation service at the community rehabilitation center, and who have over 10 years in the duration of disease. 1he music therapy activity was progressed with totally 14 sessions during 7 weeks with twice a week. This study confirmed t-test that is verification of difference in the mean, in order to examine difference between before and after music therapy in self-expression and self-esteem of the chronic mental-handicapped, and researched into qualitative case. The findings are as follows. First, as a result of score in self-expression scale, the significant improvement was shown after music therapy compared to before music therapy. The significant difference was indicated in verbal self-expression, phonetic self-expression, and non-verbal self-expression, which are its sub-spheres. Thus, the conclusion was obtained as saying that music therapy is effective for enhancing self-expression. Second, as a result of score in self-esteem scale, the significant difference was shown after music therapy compared to before music therapy. Thus, the conclusion was obtained as saying that music therapy is effective for enhancing self-esteem. Through the above results, the music therapy showed effectiveness of self-expression ability and self-esteem in the chronic mental-handicapped at the community rehabilitation center, thereby having been confirmed to be possibly utilized as rehabilitation program for the social skill ability and the social adjustment of the chronic mental-handicapped.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.348-358
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• 2022

The purpose of this study is to produce visual content for effective education of Passive verbs and Causative verbs in Korean language education for foreigners. Passive verbs and causative verbs are contents that must be taught to intermediate level learners. However, it is recognized as a difficult item for both learners and Korean teachers because the realization pattern is complicated, and there is no rule to explain the combination relationship between the action and the instruction by suffix. In this article, the use of nonverbal information that can improve the learning effect was considered. Providing verbal and non-verbal information together in language education can be expected to improve learners' communication skills. In particular, visual content is non-verbal information that can positively affect memory enhancement, playback, and transition. Therefore, this study attempted to plan and produce picture cards as visual materials. The picture card, produced with a focus on the correct education of Korean Passive verbs, will efficiently and significantly make Korean Passive verbs and Causative verbs teaching and learning by suffixes.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.5
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• pp.513-519
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• 2014

Videoconferencing technology is increasingly used in classrooms to introduce children to people from other countries and cultures in order to provide a wider learning experience. However, with traditional screen-based video conferencing technology, research has shown that it is easy for students to miss non-verbal cues that play a key role in developing human relationships. To investigate how children interact differently when their interactions are mediated through screen-based video communication versus robot-mediated communication, we conducted a study with elementary students in Korea, comparing the use of both technologies to introduce classroom students with peer-aged individuals in America. Our findings show that the children displayed more positive emotions during certain tasks and exhibited more interest and intimacy to remote participants in the context of robot-mediated communication than with video-mediated communication.

• ETRI Journal
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• v.44 no.4
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• pp.613-623
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• 2022

Autism spectrum disorder (ASD) is a developmental disorder associated with cognitive and neurobehavioral disorders. It affects the person's behavior and performance. Autism affects verbal and non-verbal communication in social interactions. Early screening and diagnosis of ASD are essential and helpful for early educational planning and treatment, the provision of family support, and for providing appropriate medical support for the child on time. Thus, developing automated methods for diagnosing ASD is becoming an essential need. Herein, we investigate using various machine learning methods to build predictive models for diagnosing ASD in children using facial images. To achieve this, we used an autistic children dataset containing 2936 facial images of children with autism and typical children. In application, we used classical machine learning methods, such as support vector machine and random forest. In addition to using deep-learning methods, we used a state-of-the-art method, that is, automated machine learning (AutoML). We compared the results obtained from the existing techniques. Consequently, we obtained that AutoML achieved the highest performance of approximately 96% accuracy via the Hyperpot and tree-based pipeline optimization tool optimization. Furthermore, AutoML methods enabled us to easily find the best parameter settings without any human efforts for feature engineering.