• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.3
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• pp.372-377
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• 2006

In this paper, we propose sensibility recognition model that recognize user's sensibility using brain waves. Method to acquire quantitative data of brain waves including priority living body data or sensitivity data to recognize user's sensitivity need and pattern recognition techniques to examine closely present user's sensitivity state through next acquired brain waves becomes problem that is important. In this paper, we used pattern recognition techniques to use Multi Layer Perceptron (MLP) that is pattern recognition techniques that recognize user's sensibility state through brain waves. We measures several subject's emotion brain waves in specification space for an experiment of sensibility recognition model's which propose in this paper and we made a emotion DB by the meaning data that made of concentration or stability by the brain waves measured. The model recognizes new user's sensibility by the user's brain waves after study by sensibility recognition model which propose in this paper to emotion DB. Finally, we estimates the performance of sensibility recognition model which used brain waves as that measure the change of recognition rate by the number of subjects and a number of hidden nodes.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.91-94
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• 2018

감정분석은 텍스트에서 나타난 저자 혹은 발화자의 태도, 의견 등과 같은 주관적인 정보를 추출하는 기술이며, 여론 분석, 시장 동향 분석 등 다양한 분야에 두루 사용된다. 감정분석 방법은 사전 기반 방법, 기계학습 기반 방법 등이 있다. 본 논문은 사전 기반 감정분석에 필요한 한국어 감정사전 자동 구축 방법을 제안한다. 본 논문은 영어 감정사전으로부터 한국어 감정사전을 자동으로 구축하는 방법이며, 크게 세 단계로 구성된다. 첫 번째는 영한 병렬말뭉치를 이용한 영한사전을 구축하는 단계이고, 두 번째는 영한사전을 통한 이중언어 그래프를 생성하는 단계이며, 세 번째는 영어 단어의 감정값을 한국어 단어의 감정값으로 전파하는 단계이다. 본 논문에서는 제안된 방법의 유효성을 보이기 위해 사전 기반 한국어 감정분석 시스템을 구축하여 평가하였으며, 그 결과 제안된 방법이 합리적인 방법임을 확인할 수 있었으며 향후 연구를 통해 개선한다면 질 좋은 한국어 감정사전을 효과적인 방법으로 구축할 수 있을 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.285-286
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• 2016

광고, 게임, 로봇 등 다양한 분야에서 사람의 감정을 이용한 서비스가 늘어나면서 감정 인식에 관한 연구가 활발히 진행되어 왔다. 본 논문에서는 스마트폰의 센서에서 얻어진 사용자 상황정보와 스마트시계의 심박 수 측 정 데이터를 통해 사용자의 감정을 예측하는 모델을 제안한다. 해당 모델을 생성하기 위해서 스마트폰에서 사용 자 상황정보를 수집한다. 스마트시계에서는 기분이 부정적인지 혹은 긍정적인지를 판단하기 위해 심박 수를 측정 한다. 이러한 수집된 정보를 기계 학습 알고리즘을 사용하여 감정 예측 모델을 생성하고, 이 모델을 통해 사용자 의 감정을 예측한다.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.67-73
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• 2021

In this paper, a system configuration method that can practice Linux-based programming language online is presented. The proposed system utilizes the web-server function, which is the biggest feature of the Linux operating system, and simulates the telnet and FTP functions without firewalls or other security restrictions, so that it is possible to practice similar to the actual Linux console. To do this, we analyzed the functional elements that a programming tool should have on the web and established an algorithm to implement it. In particular, a method was implemented in which an error message caused by a user's mistake can appear in the same form as the actual telnet screen. As a result of using the implemented learning system in the class for students, it is possible to practice the Linux programming language online, as well as the instructor can directly check and guide all the learners, so the learner's satisfaction is similar to that of the offline class was confirmed.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.13-20
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• 2019

This study aims to study the codes that can code the Sijo's emotional codes into AI and use them in literature therapy. In this study, we conducted emotional coding of the Sijo Crying Cuckoo at the Empty Mountain. As a result, the Emotion Codon was able to indicate the state of sadness catharsis. This implanting of the Sijo's emotional codes into Emotion Codon is like implanting human emotions into AI. If the basic emotion codes are implanted in the Emotion Codon and induced of AI's self-learning, We think AI can combine various emotions that occur in the human body. AI can then replace human emotions, which can be useful in treating of human emotions. It is believed that continuing this study will induce human emotions to heal the mind and spirit.

• 한국정보교육학회:학술대회논문집
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• 2005.08a
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• pp.145-152
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• 2005

음악과 교육은 학생의 잠재력과 창의성을 개발하고, 음악을 통하여 자신의 감정과 생각을 표현하도록 하며, 삶이 질을 높이고 전인적인 인간이 되도록 하는데 그 목적이 있다. 특히, 창작 분야는 자신의 음악적 아이디어를 창출함으로써 자기를 구현하고 자신의 음악성에 대한 자부심을 느끼며 창작의 능력을 향상하는 기회를 제공한다는 점에서 음악의 여러 분야 중 가장 적극적인 음악 체험이라고 할 수 있으나 학교 교육에서는 여러 교육여건의 부재로 인한 어려움으로 가장 소홀히 다루어지고 있는 영역이다. 따라서, 본 연구는 학습자가 창의성 교수-학습에 입각한 세 종류의 단계를 거쳐 음악적 기본개념에 대한 원리 및 기능을 습득하고, 직접 작곡하고 실음을 통해 이를 듣고 수정할 수 있도록 하여 학습자로 하여금 창의력을 보다 향상시킬 수 있는 음악창작학습 시스템을 설계한다.

• CRM연구
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• v.2 no.1
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• pp.33-52
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• 2009

This research focused on the moderating role of the influence an expectation exerts on a performance by a regional festival and the experience to get visitor's feeling and satisfaction. A survey design was used for the last analysis targeted for the respondent who experienced an experience directly targeted for the regional where a regional festival is promoted actively targeted for the visitor. Results are show a positive influence on the expectation exerts on a performance of festival. In addition, it was confirmed that festival experience activity the role important to feeling and satisfaction of a visitor. We suggest, therefore, that it has to raise the efficiency of the strengthening of an experience program to raise an performance of festival participants and the festival manage to draw out the various feeling formation and satisfaction through participation customers' segmentation.

• Journal of The Korean Association For Science Education
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• v.25 no.4
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• pp.441-449
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• 2005

The purpose of this study was to examine the degree of cognitive conflict by learner personality and the method of presenting anomalous data to induce cognitive conflict. The participants of this study were 461 high school students. To arose cognitive conflict, an actual demonstration was done for half of the participants and a logical article for the rest. MBTI (Myers-Briggs Type Indicator) was used to find the learner personality types, and CCLT (Cognitive Conflict Level Test) was used to measure the degree of cognitive conflict aroused when anomalous data was confronted. The results of this study indicated that learner personality types influence the degree of cognitive conflict. First, participants were divided into two personality types via preferences on each of the four preference indices; extraversion (E) or introversion (I), sensing (S) or intuition (N), thinking (T) or feeling (F), judgment (J) or perception (P). The cognitive conflict scores of the thinking types were significantly higher than those of the feeling types. Participants were also divided four personality types according to personality functional types: ST, SF, NT and NF. SF type showed a significantly lower cognitive conflict score than any of the other types. According to the type of learner personality, cognitive conflict was influenced differently by the method of presenting anomalous data. For example, the judgment types had a higher cognitive conflict score by logical argument, and the perception types showed a higher score by demonstration. In conclusion, learner cognitive conflicts were influenced by personality types and the methods of presenting anomalous data.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.25-28
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• 2007

Electroencephalograhic(EEG)는 심리학의 영역에서 인간 두뇌의 활동을 측정 기록하는데 오래 전부터 사용하였다. 과학의 발달함에 따라 점차적으로 인간의 두뇌에서 감정을 조절하는 기본적인 영역들이 밝혀지고 있다. 그래서 인간의 감정을 조절하는 인간의 두뇌 활동 영역들을 EEG를 이용하여 측정하였다. 본 논문에서는 EEG의 신호들과 몸짓을 이용해서 감정을 인식하였다. 특히, 기존에 생체신호나 몸짓 중 한 가지만을 이용하여 각각 실험해서 감성을 인식하였지만, 본 논문에서는 EEG 신호와 몸짓을 동시에 이용해서 피 실험자의 감성을 인식하는 실험을 하였다. 실험결과 기존의 생체신호나 몸짓 한 가지만을 가지고 실험했을 때의 인식률 보다 더 높은 인식률을 보임을 알 수 있었다. 그리고 생체신호와 몸짓들의 특징 신호들은 강화학습의 개념을 이용한 IFS(Interactive Feature Selection)를 이용하여 특징 선택을 하였다.

• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.673-684
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• 2005

In this research, we have developed a "computer tutor" that mimics the human tutor with animated tutoring dialog agent and the agent was integrated to teaching-learning material for elementary science subject. The developed system is a natural language based teaching-learning system using one-to-one dialogue. The developed pedagogical dialogue teaching-learning system analysis student's answer then provides appropriate answer or questions after comparing the student's answer with elementary school level achievement. When the agent gives either question or answer it uses the TTS(Text-to-Speech) function. Also the agent has an animated human tutor face for providing more human like feedback. The developed dialogue interface has been applied to 64 6th grade students. The test results show that the test group's average score is higher than the control group by 10.797. This shows that unlike conventional web courseware, our approach that "ask-answer" process and the animated character, which has human tutor's emotional expression, attracts students and helps to immerse to the courseware.