• Journal of The Korean Association For Science Education
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• v.26 no.4
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• pp.568-580
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• 2006

The purpose of this study was to investigate the brain activities by 4-types of Generating Process of Scientific Emotion (GPSE) in the hypothesis-generating biological phenomena by using fMRI. Four-types of GPSE were involved in the Basic Generating Process (BGP), Retrospective Generating Process (RGP), Cognitive Generating Process (CGP) and Attributive Generating Process (AGP). For this study, we made an experimental design capable of validating the 4-types of generating process (e.g. BGP, RGP, CGP and AGP), and then measured BOLD signals of 10 pre-service teachers' brain activities by 3.0T fMRI system. Subjects were 10 healthy females majoring in biology education. As a result, there were clear differences among 4-types of GPSE. Brain areas activated by BGP were at right occipital lobe (BA 17), at left thalamus and left parahippocampal gyrus, while in the case of RGP, at left superior parietal lobe (BA 8, 9), at left pulvinar and left globus pallidus were activated. Brain areas activated by CGP were the right posterior cingulate and left medial frontal gyrus (BA 6). In the case of AGP, the most distinctively activated brain areas were the right medial frontal gyrus (BA 8) and left inferior parietal lobule (BA 40). These results would mean that each of the 4-types of GPSE has a specific neural networks in the brain, respectively. Furthermore, it would provide the basis of brain-based learning in science education.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.343-344
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• 2014

본 연구는 홍명희의 "임거정(林巨正)"에 나타난 정치성을 연구한 것이다. 주된 논의는 랑시에르의 이론을 원용하여 크게 네 가지 방향에서 이루어졌다. 핵심 키워드는 탈봉건적 민중언어, 평등사상, 서사의 확장, 반시대적 자유인을 들 수 있다. 랑시에르가 지적했듯이 예술을 통한 감성의 분할은 사유의 특권을 가진 집합의 경계를 무너뜨릴 수 있기에, 기존 체제에 '불화'와 '불일치'를 가져온 실존 인물을 다룬 "임거정(林巨正)" 이에 적합한 텍스트로 볼 수 있을 것이다.

• Science of Emotion and Sensibility
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• v.11 no.2
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• pp.285-292
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• 2008

The purpose of this study is to provide the fundamental data needed in analyzing customer needs and understanding products in developing designs, to help designers to have better understanding of digital camera products, and to support the setting of concepts in developing designs, by understanding the specific properties of products that have specific purposes. In this study, homogeneity analysis was performed to the collected products launched from 2000 until now and representative products were selected to extract the questions on the adjectives and preferences felt form such products. Based on the questions, basic questionnaire survey and subject image analysis was performed in relation to the elements of images preferred by customers through the regression analysis of dependent variables and preferences and the regression analysis of purchasing power. When we design for digital camera, we must consider about the elements of digital cameras and the terms convenient, sensitive, functional, and grace. In terms of whole trend of shape, the shape highlighting grips and the digital cameras having grips, large LCD, dark colors, and manual buttons were preferred.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1047-1050
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• 2015

Wearable device, along with IoT(Internet of Things), is considered the core of upcoming generation's convergence technology. Companies are intensely competing one another for prior occupation in the smartwatch market. Consumers that use smartwatch express their preferences by sharing their opinions through SNS(Social Networking Service). Through this study, emotions dictionary is built, which consists of attributes and emotional words related to smartwatch. Based on the emotions dictionary, SNS data has been categorized according to the attributes through opinion data model. Afterwards, overall polarity and attribute polarity of collected data are distinguished through natural language parsing, followed by an analysis of smartwatch reviews. This study will contribute to determination of which attributes of smartwatch to be improved, to arise consumer's interest for individual smartwatch.

• Journal of the Korean Society of Floral Art and Design
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• no.43
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• pp.3-17
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• 2020

Through color analysis and survey of seasonal display cases using flower materials in department stores, hotels, and retailers, which are representative commercial spaces in Korea and abroad, it is designed to recognize the need for color planning that applies seasonal colors and emotional adjectives, away from the traditional method of relying on the season, shape and texture of materials, in the process of flower displays. The research method analyzed the colors used in the 48 domestic and foreign commercial space flower display cases collected. Based on this, the first expert questionnaire collected adjectives extraction and seasonal coordinates reminiscent of the case and examined the suitability of emotional adjectives extracted by the second public survey. The research results extracted typical colors and tones of spring, summer, fall, and winter, and recognized seasonal emotional adjectives. Based on these results, We could see that the color scheme should be advanced in the flower display, which used to depend solely on the shape or texture of the flower material, to produce the intended emotional design.

• Archives of design research
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• v.18 no.2 s.60
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• pp.219-232
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• 2005

Moderns are living within flood of web contents, animation, reflex data etc. as well as sight, product, environment design. There fore, modern consumer has much options. Designer must provide various result for consumer for this reason. And must invent new sensitivity and propose to consumer. As purpose of this MCC sensitivity palette research takes advantage of the most sensitive color, do. Because applying correct sensitivity more than when design with matter already settled, rid private prejudice, and is thing to convey design intention exactly to user. Excellent culture contents must be able to equip international color design sensitivity. MCC sensitivity palette research studies and carries on the head emotion and sensitivity language that is nationality first, and collect End arranged sensitivity adjective through data analysis and picture data analysis that is the next time research leader Munheonjeok. And distributed collected adjective equally, and arrange distributed adjective by field of each sensitivity and collect system. Do 3 colors, 4 colors color scheme in selected sensitivity adjective and completed Simheom version. Result of beta version research to color specialist and designer last digital palette through question and inquiry compose. Through this process, completed more real and correct digital color sensitivity palette. Completed color scheme is operated in www.mcdri.net on web, and also programs to windows base and developed to software. MCC color scheme palette that research result is made includes sensitivity data database. This database can use directly in industry and continuous development is available. Software can search color scheme in language and idea development through classification search that use 3 attributes of color is available there is cough data of each output device different color error.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.181-188
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• 2020

In this study, we propose a comparative study to confirm the impact of various word embedding techniques on the performance of sentiment analysis. Sentiment analysis is one of opinion mining techniques to identify and extract subjective information from text using natural language processing and can be used to classify the sentiment of product reviews or comments. Since sentiment can be classified as either positive or negative, it can be considered one of the general classification problems. For sentiment analysis, the text must be converted into a language that can be recognized by a computer. Therefore, text such as a word or document is transformed into a vector in natural language processing called word embedding. Various techniques, such as Bag of Words, TF-IDF, and Word2Vec are used as word embedding techniques. Until now, there have not been many studies on word embedding techniques suitable for emotional analysis. In this study, among various word embedding techniques, Bag of Words, TF-IDF, and Word2Vec are used to compare and analyze the performance of movie review sentiment analysis. The research data set for this study is the IMDB data set, which is widely used in text mining. As a result, it was found that the performance of TF-IDF and Bag of Words was superior to that of Word2Vec and TF-IDF performed better than Bag of Words, but the difference was not very significant.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.281-292
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• 2013

The purpose of this study was to identify the effect of gesture and facial expression on persona effects. Fifty-six college students were recruited for this study, and non-verbal communication skills were applied to a pedagogical agent with gesture (conversational vs. deictic) and facial expression. The conversational gesture may have relationship with social interaction hypothesis of pedagogical agent while the deictic gesture may have relationship with attentional guidance hypothesis. The facial expression can be assumed to facilitate the social interaction between the pedagogical agent and learners. Interestingly, the conversational gesture group showed a tendency of outperforming the deictic gesture group. It may imply that the social interaction theory has a strong impact on cognitive support as well as social interaction for learners. There was a significant interaction effect on the engagement when both of facial expression and conversational gesture were applied. This result has two implications. First, facial expression can facilitate the persona effect for engagement.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.157-165
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• 2021

Recently, studies using deep learning to analyze a large amount of text are being actively conducted. In particular, a pre-trained language model that applies the learning results of a large amount of text to the analysis of a specific domain text is attracting attention. Among various pre-trained language models, BERT(Bidirectional Encoder Representations from Transformers)-based model is the most widely used. Recently, research to improve the performance of analysis is being conducted through further pre-training using BERT's MLM(Masked Language Model). However, the traditional MLM has difficulties in clearly understands the meaning of sentences containing new words such as newly coined words. Therefore, in this study, we newly propose NTM(Newly coined words Target Masking), which performs masking only on new words. As a result of analyzing about 700,000 movie reviews of portal 'N' by applying the proposed methodology, it was confirmed that the proposed NTM showed superior performance in terms of accuracy of sensitivity analysis compared to the existing random masking.

• Science of Emotion and Sensibility
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• v.13 no.3
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• pp.449-458
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• 2010

As occasion demands to obtain efficient information from many documents and reviews on the Internet in many kinds of fields, automatic classification of opinion or thought is required. These automatic classification is called sentiment classification, which can be divided into three steps, such as subjective expression classification to extract subjective sentences from documents, sentiment classification to classify whether the polarity of documents is positive or negative, and strength classification to classify whether the documents have weak polarity or strong polarity. The latest studies in Opinion Mining have used N-gram words, lexical phrase pattern, and syntactic phrase pattern, etc. They have not used single word as feature for classification. Especially, patterns have been used frequently as feature because they are more flexible than N-gram words and are also more deterministic than single word. Theses studies are mainly concerned with English, other studies using patterns for Korean are still at an early stage. Although Korean has a slight difference in the meaning between predicates by the change of endings, which is 'Eomi' in Korean, of declinable words, the earlier studies about Korean opinion classification removed endings from predicates only to extract stems. Finally, this study introduces the earlier studies and methods using pattern for English, uses extracted sentimental patterns from Korean documents, and classifies polarities of these documents. In this paper, it also analyses the influence of the change of endings on performances of opinion classification.