• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.269-290
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• 2017

This study aims to present the framework for promoting active engagement of users in digital archives through social tagging. It analyzed the technological development involved with digital archives, and the user participation and engagement through social media. The analysis explored the aspects of social tagging in terms of communication, sharing and collaboration in digital archives. Based on the analysis and reviews, it developed the model of social tagging for user participation and interaction in digital archives. The study proposed the application of open and game platforms for promoting active engagement of users in digital archives through social tagging.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.409-414
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• 2021

본 연구는 소셜로봇 디자인 연구의 흐름 중 하나인 로봇의 외형에 관하여 시선 추적을 활용하고자 한다. 소셜로봇의 몸 전체, 얼굴, 눈, 입술 등의 관심 영역으로부터 측정된 사용자의 시선 추적 지표와 디자인평가 설문을 통하여 파악된 사용자의 태도를 연결하여 소셜로봇의 디자인에 연구 모형을 구성하였다. 구체적으로 로봇에 대한 사용자의 태도를 형성하는 메커니즘을 발견하여 로봇 디자인 시 참고할 수 있는 구체적인 인사이트를 발굴하고자 하였다. 구체적으로 본 연구에서 사용된 시선 추적 지표는 고정된 시간(Fixation), 첫 응시 시간(First Visit), 전체 머문 시간(Total Viewed), 그리고 재방문 횟수(Revisits)이며, 관심 영역인 AOI(Areas of Interests)는 소셜로봇의 얼굴, 눈, 입술, 그리고 몸체로 설계하였다. 그리고 디자인평가 설문을 통하여 소셜로봇의 감정 표현, 인간다움, 얼굴 두각성 등의 소비자 신념을 수집하였고, 종속변수로 로봇에 대한 태도로 설정하였다.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.181-188
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• 2016

This study investigated consumer convergence preferences for healthcare information service in social media using the multi-attribute utility theory. The multi-attribute utility theory is an approach for compositional modeling attributes wherein researchers compute the overall service utility by aggregating the evaluation results for attribute values. We found that healthcare information service consumers in social media evaluate the service preference through the multi attributes - Update, Cost, Usefulness, Usability, Reliability. And the study shows that individual preference by estimating weight of each attribute in the services influences the service use intention. So we believe that estimating preferences with multi-attribute utility theory will predict business success of the services in a new media, and for a successful business of the social media services marketers should assess the consumer's preference using the multi-attributes.

• Electronics and Telecommunications Trends
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• v.26 no.4
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• pp.134-145
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• 2011

서비스 제공자 중심에서 소비자 중심으로 지식정보의 생산 및 유통이 변화한 새로운 형태의 서비스인 소셜 네트워크 서비스가 다양한 모습으로 발전하고 있다. 특히, 스마트폰으로 대표되는 다양한 스마트 디바이스의 발전으로 소셜 네트워크 서비스의 발전은 더욱 활성화되었다. 이에 따라 관련 산업이 크게 발전하고 있으나 소비자가 스스로 정보를 생산 및 유통하는 과정에서 발생하는 다양한 보안 위협들에 대한 인식 및 대응 방법이 미비하여 새로운 문제점들을 야기하고 있다. 본 고에서는 소셜 네트워크 서비스에서 발생하는 다양한 보안 취약성들을 정리하고 이를 개선하기 위한 기술들에 대해 살펴본다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.247-249
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• 2012

급변하는 소셜 미디어 활용 환경에 대응하기 위한 지속적인 혁신과 이를 가능케 하는 요소로서 지식의 중요성에 대한 인식이 증대하고 있다. 이에 따라 기업의 효과적인 경영을 가능케 하는 요소에 대한 많은 연구가 진행되어 왔다. 그러나 이러한 영향 요소에 대한 연구는 기업의 경영 능력을 증대시킬 수 있는 방안을 제시할 뿐 스마트미디어 융합시대에 대비한 융합경영을 위한 해답은 미흡한 점이 있다. 본 연구에서는 융합시대에 기업성과 극대화를 위한 소셜 미디어를 활용한 융합경영 전략 운영 방안을 제안한다.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.545-547
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• 2010

소셜 네트워크 서비스가 발전하면서 사용자층을 세분화하여 차별화 한 소셜 네트워크 서비스가 출현하고 있다. 해외에서는 과학자에게 특화된 여러 소셜 서비스가 활성화 되고 있으며 과학자들의 인맥 연결은 물론, 정보 공유와 공동 연구를 지원하는 다양한 부가서비스가 개발되어 온라인 상에서의 협업 환경이 조성되고 있다. 본 연구에서는 해외 과학자 소셜 네트워크 서비스의 특징을 살펴 보고 국내의 과학자 온라인 커뮤니티 활성화를 위한 소셜 서비스 도입을 제안해 보고자 한다.

• The Journal of Society for e-Business Studies
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• v.18 no.1
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• pp.33-55
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• 2013

Information sharing behavior in the Internet has raised much interest. Recently, social network sites provide a new information sharing channel for the users who want to connect with others based on common social background or tastes. Especially, we focus that a social network site becomes one of major routes for information sharing about socially influential issues. Therefore, studying how information is diffused via a social network site may give theoretically, practically significant implication. Based on the assertion, we investigated user's behavior to mediate other user's information messages. We define information mediating behavior as concurrent actions of filtering and distributing behavior of the digital content that is originated from one of the connected users. In this study, we intended to understand the effects of information mediating behavior, and tried to understand characteristics of re-mediating of previously mediated information. Using an agent-based simulation model, we found that information mediating behavior increased the extent of information diffusion significantly. In addition, even a small degree of mediating probability could boost up the level of information diffusion in the case of a re-mediating condition. We believe that those findings provide remarkable insight of research and business application on both of information sharing and diffusion in a social network site.

• Journal of Internet Computing and Services
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• v.17 no.1
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• pp.65-71
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• 2016

In this paper, we propose a novel analysis method and its algorithms to perform the betweenness centrality measurements on a valued and directed workflow-supported social network. The conventional workflow-supported social network model is to represent the existences of task transferring relationships among their performers by using a binary social network. However, it is necessary to consider not only the existences of task transferring relationships but also their quantities and directions in order to obtain much more effective and sophisticated analysis results. In conclusion, this paper newly defines a concept of valued and directed workflow-supported social network, and its betweenness centrality analysis method and algorithms. Especially, to verify the proposed method and algorithms, we try to apply the conventional method and the proposed method to an example workflow model respectively, and compare their betweenness centrality analysis results.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.553-564
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• 2014

In this paper, we propose the system for automatic generation of issue analysis report based on social big data mining, with the purpose of resolving three problems of the previous technologies in a social media analysis and analytic report generation. Three problems are the isolation of analysis, the subjectivity of experts and the closure of information attributable to a high price. The system is comprised of the natural language query analysis, the issue analysis, the social big data analysis, the social big data correlation analysis and the automatic report generation. For the evaluation of report usefulness, we used a Likert scale and made two experts of big data analysis evaluate. The result shows that the quality of report is comparatively useful and reliable. Because of a low price of the report generation, the correlation analysis of social big data and the objectivity of social big data analysis, the proposed system will lead us to the popularization of social big data analysis.

• Journal of Advanced Navigation Technology
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• v.17 no.3
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• pp.325-331
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• 2013

Social network services(SNS) has been used as a means of communication for user or express themselves user. Therefore, SNS has a variety of information. This information is useful to help the investigation can be used as evidence. In this paper, A study of mobile digital forensic procedure for crime investigation in social network service. Analysis of database file taken from the smartphone at social network service application for mobile digital forensic procedure. Therefore, we propose a procedure for the efficient investigation of social network service mobile digital forensic.