• Journal of The Korean Association For Science Education
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• v.27 no.1
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• pp.93-104
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• 2007

The purpose of this study is to investigate brain activity both during the processing of a scientific hypothesis about biological phenomena and mental arithmetic using 3.0T fMRI at the KAIST. For this study, 16 healthy male subjects participated voluntarily. Each subject's functional brain images by performing a scientific hypothesis task and a mental arithmetic task for 684 seconds were measured. After the fMRI measuring, verbal reports were collected to ensure the reliability of brain image data. This data, which were found to be adequate based on the results of analyzing verbal reports, were all included in the statistical analysis. When the data were statistically analyzed using SPM2 software, the scientific hypothesis generating process was found to have independent brain network different from the mental arithmetic process. In the scientific hypothesis process, we can infer that there is the process of encoding semantic derived from the fusiform gyrus through question-situation analysis in the pre-frontal lobe. In the mental arithmetic process, the area combining pre-frontal and parietal lobes plays an important role, and the parietal lobe is considered to be involved in skillfulness. In addition, the scientific hypothesis process was found to be accompanied by scientific emotion. These results enabled the examination of the scientific hypothesis process from the cognitive neuroscience perspective, and may be used as basic materials for developing a learning program for scientific hypothesis generation. In addition, this program can be proposed as a model of scientific brain-based learning.

• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.429-437
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• 2012

The purpose of this research aims to find the changes resulted from the collaboration of colors, harmonies, and dynamics within a music. Through this research model, psychologically change of color and harmony, dynamics have explored to collect the resources for the research of the visual media music therapy program. In video media, music is utilized as non-verbal communication in many areas. The connection between melodies and colors, especially, is one of the most effective instrument to reduce the gap between realities and imagination, thus leading emotional inspiration. Gim's(Guided Imagery and Music) model of musical therapy strives to understand inner-side of human nature, and gives an insight into self-understanding. We would like to promote active, and physical model of musical therapy aside from passive existing mode, and apply it as the base resource for our ever-changing society, and teenage education.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.345-350
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• 2012

People established a network much more using smart equipments by means of the development of the mobile industry. They can get useful information easily, make new personal connections and communities, and form various personal connections using the communities. The importance of contact, timing, and utility of time plays an important role in human relations. Many programs related to personal relations are already saturated. In other words, they are very significant and difficult to use. Many programs that didn't be concerned ahead of time about how to deal with a lot of the amount of information effectively and take it out in order to use it could bring about negative results. Human being already makes use of physical-empirical language in all of the conscious and unconscious areas. This study begins at the supposition that how to make it easy to apply humane gestures and languages to applications with portable equipment close to human beings.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.113-124
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• 2015

Unlike structured data which are gathered and saved in a predefined structure, unstructured text data which are mostly written in natural language have larger applications recently due to the emergence of web 2.0. Text mining is one of the most important big data analysis techniques that extracts meaningful information in the text because it has not only increased in the amount of text data but also human being's emotion is expressed directly. In this study, we used R program, an open source software for statistical analysis, and studied algorithm implementation to conduct analyses (such as Frequency Analysis, Cluster Analysis, Word Cloud, Social Network Analysis). Especially, to focus on our research scope, we used keyword extract method based on a Data Dictionary. By applying in real cases, we could find that R is very useful as a statistical analysis software working on variety of OS and with other languages interface.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.186-197
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• 2010

Recent changes show that the goals of reproduction devices have changed from accurately reproducing scenes to improving user preference. It implies that the directions in developing cameras, the most common reproduction devices, are moving from performance-centered to quality-centered, from developers to users. Accepting such changes demand new standards in evaluating reproduction devices. This paper suggests a new method to evaluate the quality of images, based on cognitive properties of users. The quality of an image is a result oriented from the interaction of various attributes, therefore some functional tests are not enough to evaluate total quality of an image. In this respect, an evaluation model which integrates various physical attributes of an image is needed, that enables a third observer to subjectively evaluate the total quality of an image. In this paper, the experiment was carried out to 127 subjects, with the 84 test stimuli and 11 evaluation factors, followed by an factor analysis. The evaluation factors to assess the quality of images in this paper includes the results by cognitions of users and the properties of reproduction, the factors not only evaluate the quality but suggest how to improve them.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.140-150
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• 2013

The Greek sculptor, Pygmalion, created a sculpture which was perfect in shape and fell in love with it. He prayed the goddess of love, Venus to transform it into a real woman. She answered his asking, and he finally got married to her. In Bernard Shaw's movie, , the linguist, Dr. Higgins, brought a street girl, Eliza Doolittle to his home and educated her standard London dialect and upper-class manners. Unlike the Greek sculptor, Higgins changed not only her appearance but also her inner identity, then she became 'a new woman' of the age. Abby in seems to live a successful life of thorough planning and pursuing knowledge, but there is no place for her to express natural instinct and human emotion. On the other hand, Mike is a totally different type of a person from her. Like a Greek sculptor, he changes her into a woman who can truly understand other people from her heart and listen to what her inner-self says to her. The Greek myth metaphorically suggests the way to build true relationships between people of all times.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1537-1542
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• 2017

Emotion plays a key role in both generating and understanding narrative. In this article we analyzed the emotions represented in a movie script based on 8 emotion types from the wheel of emotions by Plutchik. First we conducted manual emotion tagging scene by scene. The most dominant emotions by manual tagging were anger, fear, and surprise. It makes sense when the film script we analyzed is a thriller-genre. We assumed that the emotions around the climax of the story would be heightened as the tension grew up. From manual tagging we could identify three such duration when the tension is high. Next we analyzed the emotions in the same script using Python-based NLTK VADERSentiment tool. The result showed that the emotions of anger and fear were most matched. The emotion of surprise, anticipation, and disgust, however, scored lower matching.

• Archives of design research
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• v.17 no.1
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• pp.253-264
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• 2004

The final goal of this research is development of graphic design evaluation methodology in elevation of a usability at the mobile internet services and of measurement model which can forecast user needs in interface design, and systemize evaluation basis. For this, we systemize core contents of GUI design evaluation methodology and embodied UI design support system that supports prototype layout and evaluation process directly. The sight language that can inform flow of controled information by the quick and implicated method so that user may complete task in a short time without overload of recognition in limited display environment of Small Screen device it must improve objectivity in the reflection of UI design with image. Thus evaluation methodology that can evaluate usability of mobile internet systematically is important and specially, graphic design evaluation model which can forecast user's design need and trend is meaningful because of special quality that can reflect sensitive aspect of user in interface design. Mobile internet GUI was done by the result of this design evaluation, and I hope this result can be utilized for the GUI development of Ubiquitous environment for the future research.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.285-290
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• 2010

인터넷이 대중화됨에 따라 누구나 쉽게 자신의 의견을 온라인상에 표현할 수 있게 되었다. 그 결과 생각이나 느낌을 나타내는 의견 데이터들의 양이 급속도로 방대해졌으며, 이러한 데이터들을 이용한 여러 응용 사례들의 등장으로, 효율적인 검색 및 자동 분류 기술이 요구되고 있다. 이런 기술적 흐름에 맞추어 의견 데이터 분류에 관한 여러 연구들이 이루어져 왔다. 이러한 의견 분류에 대한 연구들을 살펴보면, 분류를 위해 자질(Feature)로서 사용한 단일어(Single word)가 아닌 2개 이상의 N-gram 단어, 어휘 구문 패턴 및 통사 구문 패턴 등을 사용한다. 특히, 패턴은 단일어나 N-gram 단어에 비해 유연하고, 언어학적으로 풍부한 정보를 표현할 수 있기 때문에 이를 주요 연구 주제로 사용되었다. 그럼에도 불구하고, 이러한 연구들은 주로 영어에 대한 연구들이었으며, 한국어에 패턴을 적용하여 주관성을 갖는 문장을 분류하거나, 극성을 분류하는 연구들은 아직 미비하다. 한국어의 특색으로 한국어는 용언의 활용이 발달되어 있어, 어미의 변화가 다양하며, 그 변화에 따라 의미가 미묘하게 변화한다. 그러나 기존 한국어에 대한 의견 분류 연구들은 단어의 핵심 의미만을 파악하기 위해 어미 부분을 제거하고 어간만을 취해서 처리하여 어미에 대한 의미변화를 고려하지 못하므로 분류 정확도가 영어권에 연구 결과에 비해 떨어진다. 그래서 본 연구는 영어에 적용된 패턴을 이용한 기존 방법들을 정리하고, 그 방법들 중에서 극성을 지닌 문장성분 패턴을 한국어에 적용하였다. 그리고 어미의 변화에 대한 패턴을 추출하여 이 변화가 의견 분류의 성능에 미치는 영향을 분석하였다.

• Journal of Korean Philosophical Society
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• v.105
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• pp.215-242
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• 2008

Die Erkenntnistheorie von Berkeley entwickelt sich in der Auseinandersetzung mit den Lehren von Descartes und Locke, und sie ist als die idealistische Linie durch Hume mit dem deutschen Idealismus verbunden. Berkelez nimmt die Erfahrung als Ausgangspunkt der $M{\ddot{o}}glichkeit$ des Denkens an, und bei ihm kann die Erkenntnis durch die radikale Untersuchung des Objekts zur Sicherheit gelangen. Durch diese Untersuchung will er den Skeptizismus und die Spekulation, die sich auf das innere, unerfahrbare Wesen der Dinge bezieht, vernichten. Wir $k{\ddot{o}}nnen$ also bei ihm die Sinnesideen(ideas imprinted on the sense) als die Objekte der Erkenntnis, den Geist (mind) als das Subjekt der Erkenntnis und das $Ged{\ddot{a}}chtnis$ und die Einbildungkraft (memory and imagination) als die Vermittlung der Erkenntnis auffassen. Berkeley nennt solche Objekte die sinnlich von uns wahrgenommenen Dinge. Solche Dinge sind zwar wirkliche Dinge, aber sie bestehen als die durch die Sinne wahrgenommenen Ideen nicht $selst{\ddot{a}}ndig$ $au{\ss}erhalb$ der Geister, der sie wahrnimmt oder erkennt, existieren. Daher ist nach Berkeley 'esse'(das Sein solcher Dinge) 'percipi'(Wahrgenommenwerden): "esse est percipi".