• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.49-56
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• 2014

This study aims at providing basic data for product planning to design smart clothing and to develop applications, focusing on consumers by satisfying their emotions through analyzing emotional factors on smart clothing, comparing emotional differences between conventional clothing and it, reviewing changes of consumers' emotion by integrating the product and clothing and researching differences of preference and purchase intention between smart clothing and traditional one. As the results of the study, emotional factors for smart clothing were analyzed with total 6 including 'technical', 'comfort', 'aesthetic', 'modern', 'fun' and 'multiple' factors. Among them, except for 'comport', five emotional factors showed emotional factors between conventional sport-casual clothing and smart clothing. That is, emotional factors of 'technical', 'aesthetic', 'modern', 'fun' and 'multiple' were emphasized more in smart clothing than conventional ones, indicating that they should be considered in planning products of smart clothing. Though there was no significant difference of preference between smart clothing and conventional clothing, in case of comparison of averages, that of smart clothing was a little higher. For purchase intention, smart clothing was lower than the conventional clothing. So preference seems to be not directly related to consumers' immediate purchase. To make consumers' interests and preference to result in purchase, it is necessary to develop smart clothing with more various applications and to prepare commercializing strategies. As the results of the analysis on free-descriptive questionnaire survey, consumers were interested in development of smart clothing to help diet with functions including energy harvesting from body motion, calorification and perspiration, measurement of motion and calory consumption as well as health-care type smart clothing to measure heartbeat and ECG. Reflecting these requirements from the consumers, they should be utilized as guidance to develop smart clothing in the future.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.273-274
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• 2016

현대의 디지털 영상미디어 문화는 단순하게 진화된 형태를 넘어 보다 더 수준 높은 콘텐츠의 다양성과 미적 취향이 융합된 기술적 추구를 더욱 요구하고 있다. 특히 영상미디어 콘텐츠에 있어 영상표현의 역할은 그 어느 때보다 미학과 심리적 요인에 대한 접근의 중요성과 주목성을 통해 오감을 구현해 내는 최적화된 구현방식을 표출하기에 이르렀다. 이를 위해서는 무엇보다 주목성, 감성충족, 지속성 등이 내제 되어야 영상콘텐츠. 경쟁력 확보가 가능하다. 이러한 측면이 디지털 영상콘텐츠의 핵심 기반을 이루는 감성기술이자 가장 어려운 난제이기도 하다. 그렇기 때문에 최적화된 디자인구성은 물론 알고리즘 환경이 구축되어야만 한다. 이른바 시지각의 데이터를 몰입으로 유도하고, 지속성 여부를 가늠하는 융합기술이 제시되어야만 새로운 시각형태의 전환으로 디자인 경쟁력을 갖출 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.261-262
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• 2023

본 연구에서는 감성 분석 기반의 키워드 도출형 영화 리뷰 웹사이트를 개발하였다. 사용자들은 영화에 대한 리뷰를 작성할 때, 자동으로 키워드를 추출하는 기능을 활용하여 다양하면서도 빠르게 정보를 얻을 수 있다. 사용자가 작성한 리뷰를 시스템에 입력하면, 내부적으로 ChatGPT를 활용하여 텍스트를 분석하고 키워드를 추출한다. 이를 통해 사용자는 별다른 노력 없이도 키워드를 통해 영화의 장르, 감독, 배우, 플롯 요소 등 다양한 정보를 빠르게 확인할 수 있다. 추출된 키워드는 저장되어 시각화에 활용되며, 사용자들은 리뷰에 대한 원하는 정보를 쉽게 얻을 수 있다. 개발된 키워드 도출형 영화 리뷰 웹사이트는 사용자들에게 빠르고 다양한 정보를 제공하며, 영화 관련 결정을 내리는 데에 도움을 줄 것으로 기대된다.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.40-46
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• 2020

With the development of the Internet, users share their experiences and opinions. Since related keywords are used witho0ut considering information such as the general emotion or genre of an unstructured document such as a movie review, the sensitivity accuracy according to the appropriate emotional situation is impaired. Therefore, we propose a system that predicts emotions based on information such as the genre to which the unstructured document created by users belongs or overall emotions. First, representative keyword related to emotion sets such as Joy, Anger, Fear, and Sadness are extracted from the unstructured document, and the normalized weights of the emotional feature words and information of the unstructured document are trained in a system that combines CNN and LSTM as a training set. Finally, by testing the refined words extracted through movie information, morpheme analyzer and n-gram, emoticons, and emojis, it was shown that the accuracy of emotion prediction using emotions and F-measure were improved. The proposed prediction system can predict sentiment appropriately according to the situation by avoiding the error of judging negative due to the use of sad words in sad movies and scary words in horror movies.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.163-175
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• 2018

The age of the $4^{th}$ Industrial revolution characterized with artificial intelligence leads to increased interest in emotional aspects representing humanity as counterpart competence to the digital literacy, As the educational model to foster emotional intelligence, noticed is 'maker education based on design thinking process,' since it cultivates the spirits of empathy, intuitive thinking, collaboration, communication, sharing, and openness. In this context, this study aimed to examine relationship between the educational model and emotional intelligence. For this purpose, a case study has been conducted with 37 undergraduate students in an University general education class, and the results of data collection and analysis confirmed positive influences of the program in enhancing most components of the emotional intelligence.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.75-84
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• 2022

The purpose of this study was to identify the degree of stress coping method, emotional intelligence, gratitude disposition, and communication competence of nursing college students to identify the factors that influence communication competence. Data were collected by using questionnaires from 159 students who were in 2nd year of the nursing college in G city, from Nov 9 to 11, 2021. Data were analyzed by t-test, ANOVA, Scheffe, Kruskal-Wallis test, Pearson's correlation, and multiple regression. Statistically, communication competence showed a significantly positive correlation with active stress coping method, emotional intelligence and gratitude disposition. Influencing factors on communication competence were emotional intelligence, gratitude disposition, and active stress coping method accounting for 68% of the total change. Based on this results, strategies to increase emotional intelligence, gratitude disposition, and active stress coping method are needed to improve communication skills of nursing students.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.79-80
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• 2022

본 논문에서는 데이터 증강 기법 중 하나인 EDA를 적용하여 BERT 기반의 감성 분류 언어 모델을 만들고, 성능 개선 방법을 제안한다. EDA(Easy Data Augmentation) 기법은 테이터가 한정되어 있는 환경에서 SR(Synonym Replacement), RI(Random Insertion), RS(Random Swap), RD(Random Deletion) 총 4가지 세부 기법을 통해서 학습 데이터를 증강 시킬 수 있다. 이렇게 증강된 데이터를 학습 데이터로 이용해 구글의 BERT를 기본 모델로 한 전이학습을 진행하게 되면 감성 분류 모델을 생성해 낼 수 있다. 데이터 증강 기법 적용 후 전이 학습을 통해 생성한 감성 분류 모델의 성능을 증강 이전의 전이 학습 모델과 비교해 보면 정확도 측면에서 향상을 기대해 볼 수 있다.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.457-463
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• 2015

The image distortion field has been studied and applied variously in the fields of engineering and art. This research is to express artistic sense by using the engineering technology on image distortion. In order to do this, the paper first examines the aesthetic interpretations on artistic expressions of image distortion. Then, it explains that image distortion using magnetic force can be an artistic expression method and includes user immersion elements. In addition, it demonstrates that image distortion can be used as an artistic emotional expression based on interaction. This research will contribute to the production and development of creative emotional contents through the convergence of scientific technology and art.

• The Journal of the Convergence on Culture Technology
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• v.4 no.1
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• pp.231-236
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• 2018

Flowers are one of the most natural expressions of human expression. Recently, these flowers have been applied to various kinds of products to enhance their aesthetic value and to use them as artistic materials expressing their vitality. The purpose of this study is to investigate the formative characteristics of flowers that are visually beautiful and to express them visually through the fusion of various products used in daily life. Based on this research, we study the importance of emotional design that gives satisfaction to consumers and new design expression techniques. In addition, we pursue the aesthetic value of the product with naturalness and original design sense, and develop sensibility product design expressing design sensitivity by combining floral motif with various products based on expression of decoration using image of flower. I would like to suggest the possibility of development of sensible product design.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.81-91
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• 2019

Recently, social network service (SNS) is actively used by public. Among them, Twitter has a lot of tweets including sentiment and it is convenient to collect data through open Aplication Programming Interface (API). In this paper, we analyze social issues and suggest the possibility of using them in marketing through sentimental information of users. In this paper, we collect twitter text about social issues and classify as positive or negative by sentiment classifier to provide qualitative analysis. We provide a quantitative analysis by analyzing the correlation between the number of like and retweet of each tweet. As a result of the qualitative analysis, we suggest solutions to attract the interest of the public or consumers. As a result of the quantitative analysis, we conclude that the positive tweet should be brief to attract the users' attention on the Twitter. As future work, we will continue to analyze various social issues.