• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.353-364
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• 2015

The purpose of this study was to evaluate the relationship between socioeconomic factors, health behaviors and overweight and to provide information in the policy making process for ensuring health equity. Data of 66,249 adolescents aged 12 to 18 years were derived from the Ninth Korean Youth's Risk Web-based Study, which was conducted in 2013. Multiple logistic regression analysis revealed that overweight were related with gender, parental education, frequency of having breakfast, fruit consumption, vegetable consumption, snack consumption, and frequency of physical activity. Therefore public health programmes should target unhealthy behaviour of adolescents from lower socioeconomic groups to help prevent future life-course disadvantages in terms of health and social inequalities.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1670-1672
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• 2015

본 논문은 기존 텐저블 인터페이스 시스템과는 다른 새로운 알고리즘을 적용하여 고가의 장비를 사용하지 않고 정해진 위치에서만 인식할 수 있는 수동적인 방식이 아닌 디스플레이 상에서 위치와 상관없이 텐저블 오브젝트를 인식할 수 있도록 하였으며, 변화하는 회전각을 계산하여 사용자의 몰입도를 높이기 위한 회전 퍼포먼스를 활용한 상호작용이 가능한 콘텐츠 제작 방법에 관한 것이다.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.339-346
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• 2022

Corona-virus(COVID-19), which has affected the world economy and Korea economy widely since 2020 could have an effect on management future perspectives. Thus this paper investigate whether the effect of COVID-19 pandemic on cost stickiness is contingent on operating uncertainty. By using the sample listed in KOSPI and KOSDAQ from 2018 to 2020. I find that COVID-19 increase cost stickiness when sales growth volatility is low. This paper contribute to the literature by providing the empirical evidence which contains that the effect of COVID-19 on cost stickiness varies with operating uncertainty.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.07a
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• pp.325-326
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• 2010

Web2.0 서비스가 늘어나면서, 집단의 지혜를 바탕으로 한 개인화 서비스에 대한 관심이 증가하고 있다. 유튜브(youtube) 등 에서 태그를 공유함으로써 유용한 정보에 쉽게 접근할 수 있도록 하고 있다. 이에, 본 연구에서는 사용자가 생산한 학습콘텐츠를 바탕으로 개인화 서비스를 위한 추천시스템에 관한 연구를 진행하고자 한다. 이를 위해 교육용 UCC 사이트에서 정보추천을 위해 제공하는 속성들을 바탕으로 Tag와 Rating을 이용한 UCC분류기반 추천시스템을 제안하고, 이를 위한 메타데이터와 추천시스템을 설계하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.297-300
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• 2020

COVID-19로 인해 많은 사람들이 다양한 오프라인 활동을 즐기지 못하고 있다. 따라서 포터블 중계 시스템을 이용하여 온택트 시대에 맞는 소통 콘텐츠 제작이 요구되고 있다. 본 논문에서는 방송 송출 프로그램을 이해하고 그를 이용한 CG사용과 크기가 작은 포터블 중계 시스템의 장점을 살려 장소에 제약이 없는 실시간 유튜브 스트리밍 구현을 설계하였다.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.41-51
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• 2018

This research discusses the necessity for change in the domestic digital cultural heritage education. In following, this research analyzes definition and categories of digital cultural heritage education alongside with several case studies of global institutions and their characteristics. Throughout the analysis, this research suggests a direction of domestic digital cultural heriage which has limitations. Currently domestic use of digital cultural heritage education is currently limited to applying digital technology. Analysing literature review and case studies, this research found that digital cultural heritage education can make learners be mature in perspective of historical thinking and digital literacy simultaneously. In other words, digital cultural heritage education should not aim at pursuing education via digital platform simply, but rather fundamental cultural heritage education based on understanding of digital technology and future trend of education such as informal learning. Throughout the analysis of current cases and suggestion for future direction, the research aims at being a fundamental study of digital cultural heritage.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.751-761
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• 2014

Color deficient people do not have sufficient discernment for the colors with low saturation and brightness and at the same time express their negative emotions regarding emotion distortion. The purpose of recovering the distortion of the vision which is the basis for emotion is to increase positive emotions rather than negative ones that those with color vision deficiency feel when they experience digital culture contents. Contrast increases saturation and brightness by differing the direction of their conversion and by doing so, delivers emotion distortion such as dynamic vs. static and vivid vs. somber that the original images intend to convey to those with color vision deficiency by reducing such a contrast. In this respect, this study proposes a contrast-based color conversion method to convert saturation and brightness in the zone of color conversion and identifies if this method can reduce emotion distortion by using color conversion simulation and user test.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.7-18
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• 2015

A social network game (SNG) is the result of a combination of a life simulation game and a social networking service. These types of games are particularly popular among women. This phenomenon calls for research that focuses on the motivation behind playing SNGs, the factors that make SNGs absorbing and, particularly, the space decorating features of SNGs. The current study investigates people's experience with the space decorating features of SNGs and their motivation for playing these games. It observes the behaviors of SNG players, which were typed through Q methodology. Moreover, it specifically analyzes the motivation behind the playing of space-decorating SNGs. The study concludes that most of players were more absorbed in the space-decorating features of these games than they were in their social networking features. This also affects a player's continued playing of these games. This study proves that this phenomenon is related to players' desires for self-representation.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.208-223
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• 2020

In the 21st general election held in April 15, 2020, the importance of social media as an election campaigning tool became more prominent when engaged with Corona 19. Therefore, in this study, various studies were conducted to establish SNS strategy as an election campaign tool. This study analyzed the contents of SNS (Facebook, Twitter, YouTube) activities as an election campaign tool to analyze messages on social media messages of candidates Lee Nak-yeon and candidate Hwang Kyo-an of Jongno-gu, Seoul during the 2020 21st National Assembly election. Data collection mainly analyzed posts from each candidate's official account, and the research method used text analysis using the R program. Word cloud, comparative analysis, q-graph analysis, LDA, and STM analysis were used during text analysis. In addition, the analysis result was confirmed to be statistically significant through correlation analysis. As a result of research, candidate Lee Nak-yeon's election includes corona, people, problems, crisis, suffering, and wisdom, which indicates that the crisis caused by corona must be overcome through any means possible. On the other hand, candidate Hwang Kyo-an's election includes Moon Jae-in, the regime, save, the fatherland, the judge, and the economy. And from the perspective of political publicity, candidate Lee Nak-yeon made a lot of acclaims, while candidate Hwang Kyo-an made a lot of attacks, and both themes emphasized the policy rather than the image.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.11
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• pp.153-161
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• 2013

Recently, there has been a tremendous increase in the availability of educational materials for foreign language learning. As part of this trend, there has been an increase in the amount of electronically mediated materials available. However, conventional educational contents developed using computer technology has provided typically one-way information, which is not the most helpful thing for users. Providing the user's convenience requires additional off-line analysis for diagnosing an individual user's learning. To improve the user's comprehension of texts written in a foreign language, we propose an intelligent learning tool based on the analysis of the user's eyeball movements, which is able to diagnose and improve foreign language reading ability by providing necessary supplementary aid just when it is needed. To determine the user's learning state, we correlate their eye movements with findings from research in cognitive psychology and neurophysiology. Based on this, the learning tool can distinguish whether users know or do not know words when they are reading foreign language sentences. If the learning tool judges a word to be unknown, it immediately provides the student with the meaning of the word by extracting it from an on-line dictionary. The proposed model provides a tool which empowers independent learning and makes access to the meanings of unknown words automatic. In this way, it can enhance a user's reading achievement as well as satisfaction with text comprehension in a foreign language.