• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.88-90
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• 2006

본 논문에서는 다수의 모바일 장치가 협업을 할 수 있는 환경을 제안하고, 이를 기반으로 헬스케어 응용 서비스에 적용함을 보였다. 제안한 협업 환경은 센서와 모바일 장치, 모바일 장치와 모바일 장치, 모바일 장치와 홈 서버의 상호작용을 3가지 타입으로 정의 하였다. 또한 이들간의 정보 교환은 Push와 Pull방식으로 구분하였으며, 다수의 센서로부터 수집된 정보는 보안 정책에 따라 모바일 장치간 정보를 교환하거나 홈 서버에게 전달한다. 보안 정책은 개인 의료 처방과 예방을 위한 개인 정보와 주변 환경에 관련된 공개 정보로 나누어 관리하여 협업 환경에 적용하였다. 이는 개인 사용자마다 상이한 서비스를 제공하는데 기반이 된다. 이를 위한 구현 기술로는 적시성을 보장하는 TMO 스킴을 이용하여 컴포넌트를 설계 및 구현하였으며, 이들간의 상호작용은 TMOSM을 사용하였다.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.387-398
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• 2016

The market size of online games has been rapidly growing as well as the behaviors of online gaming users have been changed. Online games are different from the traditional video games, because they permit players to interact each other during playing games. Today online gaming is a part of everyday life and social interaction has an impact on online gaming behaviors. Social interaction does not only have a positive impact on online game behaviors, but it also has a negative impact on them such as excessive online game usage. Previous research has a limitation to consider social interaction as a comprehensive concept. In order to fill the gap, we explore the factors of social interaction influencing on excessive online game usage. After reviewing previous literature, this study chooses three factors of social interaction such as escaping loneliness, expanding online social bridging capital, and reinforcing offline social bonding capital. The findings show that all of three factors of social interaction positively affect the excessive online game usage.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.209-215
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• 2018

The purpose of this study is to grasp the overall policy decision system of sex crime prevention policy and analyze the interaction and pattern of actors in policy formation process. This is a useful way to identify the causes and ways to improve the policy if the sex crime prevention policy fails. As a research method, we used a model of advocacy through case analysis and language network analysis. In the external environment, low reporting of sex offenses, technical improvement and supplement for preventive management, consciousness of victims of sexual crimes, amendment of legislation, and support of the president. The conflicts between the advocacy coalition opposed the strong regulation, the prevention of recidivism, the expansion of the range of objects to be worn, the temporary effect of the system and the retrospective of the bill. As a problem-solving strategy, it was confirmed that the opposing positions of pros and cons of lack of manpower and negligence of management through the extension of the system were acutely opposed. In the context of media reports, this tendency is more likely to be understood as the concern of prevention and management at the central government level to prevent sex crimes. Therefore, although the methods of prevention of sex crimes have been insufficient in the past, it is hoped that this study will be helpful in breaking the link of negative policy vicious cycle.

• Journal of KSNVE
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• v.14 no.3
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• pp.6-22
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• 2004

지능형 로봇 이란 주어진 환경 (현장, 인간 공존 등)에서 별도의 조작이 없이도 스스로 환경을 인지 판단하고 작업을 수행하거나, 인간과의 상호작용을 통하여 서비스를 제공하는 로봇 (중략)

• Electronics and Telecommunications Trends
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• v.31 no.5
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• pp.120-130
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• 2016

21세기 디지털 사회에서는 각 개인의 연결과 상호작용이 사회 현상에 막대한 영향을 미치고 있으며, 이로 인해 사회는 더욱 복잡해지고, 순간적으로 급격한 변화가 일어나는 현상이 빈번히 발생한다. 사회 복잡성(Social Complexity)은 다수의 사회 구성원들 간의 복잡한 연결로 인해 발생하는 상호작용 패턴을 의미한다. 2011년 발생한 '아랍의 봄' 혁명, 글로벌 금융위기, 조류독감의 발생과 확산, 글로벌 기후 변화, 테러리스트들의 네트워크와 사이버 범죄의 증가 등은 복잡하게 연결된 글로벌 사회 현상으로 발생하는 복잡성의 사례들이다. 우리 사회의 안전성과 지속성을 확보하기 위해, 이러한 사회 복잡성을 그려내어, 그 속에 숨겨진 패턴을 분석하고 예측하는 기술에 대한 연구 개발이 국가적으로 필요하다. 다양한 분야의 사회적 모형을 개발하고 서로 연결하여, 복잡한 사회적 상호작용을 대규모 시뮬레이션을 통해 현상 분석과 사회경제 정책적 대응방향에 대한 통찰력을 가질 수 있는 대규모 '모사현실(Simulated Reality)' 기술 개발을 서둘러야 한다.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.299-307
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• 2019

In this study, we experimented with experience of digital signage using Virtual Reality technology, and the difference between presence and interactivity in brand experience and digital signage attitude. We conducted a two-way MANOVA analysis with cognitive presence, emotional presence, and media presence as the independent variable and interactivity level(high vs low) as dependent variables and the brand experience and attitude as dependent variables. First, cognitive presence was found to be most effective through behavioral experience when low interactivity. Second, emotional presence also has a positive effect on emotional experience when the level of interactivity is low. Third, media presence has a positive effect on emotional experience if the level of interactivity is low. This study suggests a communication strategy to communicate presence according to the characteristics of media strategy and technology through appropriate level of interactivity when using digital technology. Future research requires a qualitative approach rather than a quantitative one in terms of interactivity.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.469-486
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• 2014

This study was conducted to identify factors affecting nursing students' willingness to care for HIV/AIDS-infected patients. Data from 345 nursing students were gathered from October 14 to November 27, 2012, and analyzed by SPSS/WIN using descriptive statistics, Pearson correlation coefficients and multiple linear regression. Results showed that there were significant correlations of nursing willingness with HIV/AIDS-related attitudes, stigma, prejudice, and social interaction, not with knowledge and ethical beliefs. HIV/AIDS-related attitudes and social interaction affected nursing willingness to care for patients with HIV/AIDS significantly with the explained variance of 35.5%.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.673-683
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• 2013

Purpose : This study aimed to examine the causal relationships among knowledge, stigma prejudice, attitude, social interaction which are factors affecting the Nursing Intention for AIDS patients. Method : Data were collected from June 20 to August 10, 2012, 268 nurses in general hospital located in and outside of Seoul, who were selected using convenience sampling. For hypothesis testing, the collected data were analyzed using AMOS 19. Results : Analysis of the path coefficients in this study showed that 41% of the variation in Nursing Intention could be explained by variation in the model. Social Interaction and Attitude directly affected the Nursing Intention. Social Interaction was found to be the most important predictive factor to explain Nursing Intention. Conclusion : This study found that there are need to increase possibility of social interaction and make positive changes in attitude toward AIDS patient care in order to improve Nursing Intention.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.4
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• pp.213-221
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• 2018

South Korea has been reluctant to open its geospatial information overseas to ensure security as a divided country. However, this cannot continue as the domestic and international environments related to geospatial information and the industrial ecosystem of information and communication technologies have been changing dramatically. Within this context, this study aims to analyze the causal relations among relevant variables and how they change and interact with time using a systems thinking process. First, causal maps were created for the domains of national security, map-based convergence service, and corporate competition. Then, the causal maps for each domain were integrated, based on which the points for policy intervention and dominant feedback loops were identified. The analysis results showed that securing the self-sufficiency of domestic geospatial businesses is a key element to determine the whole causal map, and the variable that changes the dominant feedback loop from a vicious circle to a virtuous one is the decision to open geospatial information overseas. In this study, I found the policy leverage that is a policy intervention point that can produce a great effect with little input by building a causal map of the interactions between major variables. This study is significant in that it identified and analyzed the dominant feedback loop as to which causal structure would dominate the system in the long term. The results of this study can be used to discuss not only the impacts of map data overseas opening on the national security and geospatial information industry, but also the interactions in the future when Google or other global companies request to release the geospatial information.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.820-844
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• 2014

Various innovation theories, such as innovation system, innovation cluster, triple helix model, are different in their focus. However they all emphasize the interaction between innovation actors in order to generate, diffuse, and appropriate technological innovations successfully. This study analyzes how the interaction of innovation actors in Daedeok Innopolis has been changed since the introduction of innovation cluster policy like the designation of Daedeok Innopolis. Based on the analysis of survey data, Innopolis statistics, and patent joint-application data, we come to the conclusions that the Daedeok Innopolis has characteristics of multi-level governance structure, in which innovation cluster, i.e. Daedeok Innopolis, regional innovation system, and national innovation system directly overlap under the framework of innovation system. In addition, from the perspectives of triple helix model, we are able to verify that the inter-domain interactions between innovation actors, such as tri-lateral network, have been constantly increased in the Daedeok Innopolis. Based on our analysis, we identify some policy suggestions in order to strengthen the competitiveness of the Daedeok Innopolis as well as other innovation clusters in Korea. First, the network activities between innovation actors within innovation cluster should be strengthened based on the geographical accessibility. Second, private intermediate organizations should be established and their roles should be extended. Third, the entrepreneurial activities of universities within innovation cluster should be strengthened. In other words, the roles of universities within the Innopolis should be activated. Finally, the government should provide relevant policy supports to activate the interactions between innovation actors within innovation cluster.