• Journal of the Korean Society for Library and Information Science
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• v.43 no.4
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• pp.59-81
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• 2009

This study is aimed at developing a broadcast content creators' information behavior model through analysis of the process of information use including an integrated perspective such as cognitive, emotional and environmental aspects. Broadcast content creators have a common cognitive process and pools of information exchange and integration. In order to have emotional empathy with the general public they search and use the news and human and everyday life information seeking (ELIS). The most important thing is the context of social norms and culture in the broadcasting community and information about judgment is subjective and empirical.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.489-499
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• 2021

This paper proposes an arts and culture content creation tool powered by artificial intelligence. With the recent advances in technologies including artificial intelligence, there are active research activities on creating art and culture contents. However, it is still difficult and cumbersome for those who are not familiar with programming and artificial intelligence. In order to deal with the content creation with new technologies, we analyze related creation tools, services and technologies that process with raw visual and audio data, generate new media contents and visualize intermediate results. We then extract key requirements for a future creation tool for creators who are not familiar with programming and artificial intelligence. We finally introduce an intuitive and integrated content creation tool for end-users. We hope that this tool will allow creators to intuitively and creatively generate new media arts and culture contents based on not only understanding given data but also adopting new technologies.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.562-582
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• 2022

Although personal media have become a giant industry, there is a lack of understanding of personal media creators. Therefore, this study aims to clarify factors influencing personal media creators' choice of platform. According to the analysis, there is a significant difference between the factors considered by YouTube, AfreecaTV, and Twitch creators. Moreover, the moderating effect of creators' main genre and broadcasting type were also found to be partially significant. It was found that both creators who share the motive of vividness and communication as their main genre and creators who focus on recording and broadcasting with career development motivation prefer YouTube.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1265-1267
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• 2022

방대한 분량의 콘텐츠 홍수 속에서 원하는 소재를 찾기 위해 콘텐츠 내용을 검색할 수 있는 효과적인 방법이 지원되는 것은 창작을 자유롭게 하고, 콘텐츠 활용도를 높이기 위해 매우 중요하다. KBS 바다 서비스의 경우 분류체계 방법을 사용하고 있으나. 최근 딥러닝을 이용한 인공지능 기술의 발전으로 콘텐츠의 내용을 인공지능 기술로 태깅하고, 태깅된 텍스트 정보를 이용하여 검색할 수 있는 기술 개발이 활발히 수행되고, 국가적으로도 해당 기술을 지원하고 있다. 본 논문에서는 이러한 기술 개발의 선행 요소인 방송사의 제작과정에서 요구되는 동영상 소재 콘텐츠 검색의 요구사항을 KBS 비디오 아카이브 검색 키워드 실제 사용 데이터를 이용하여 분석하였다. 약 1,000여건의 검색 키워드 분석과 이용자와 운영자의 응답 내용을 고찰한 결과, 특정 키워드에 집중하여 검색할 수 있도록 보완하여 주는 것이 필요함을 알아내었다. 또한, 검색 범위를 효과적으로 축소하여 검색을 손쉽고 빠르게 할 수 있는 방법을 고찰하였다. 본 논문에서는 미디어 창작에서 필요한 소재 콘텐츠를 찾기 위해 연구 개발해야 할 미디어 속성 추출 기술의 방향성을 제시하였다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.423-424
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• 2019

인공지능 기술의 발전으로 딥러닝, 자연어처리 기술이 챗봇(채팅+로봇)에 적용되어 금융, 헬스케어, 여행, 방송 등의 분야를 중심으로 챗봇 시장이 확대되고 있다. 이러한 디지털 환경의 변화에 따라 전통문화 관련 개방 데이터를 활용한 전통문화 콘텐츠의 활성화 방안에 대해 살펴보고자 한다. 전통문화 소재는 영화, 드라마, 애니메이션 등의 소재로 활용 폭이 꾸준히 확대되고 있으나 현대적인 재창조의 폭넓은 대상이 되지는 못하고 있다. 팩트를 다루는 역사적 사실은 물론, 그 당시 살았던 사람들의 이야기 발굴에 대한 창작자들의 수요에 부응할 수 있는 체계적인 정보서비스로서의 전통문화 분야 인공지능(AI) 챗봇 서비스는 예비창작자와 일반인에게 창작의 유용한 가이드가 될 것으로 기대한다.

• Digital Contents
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• no.3 s.130
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• pp.90-93
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• 2004

정부가‘일본문화 4차 개방계획’에 따라 올 1월로 검토해온 극장용 애니메이션 분야의 전면개방을 2006년으로 2년간 유예했다. 이에 따라 애니메이션 업계는 일단‘급한 불은 껐다’는 안도의 한숨을 내쉬지만 여전히 국산 애니메이션의 자생력을 기르기 위한 제도적 지원방안이 결여돼 있다는데 실망감을 내비치고 있다. 더욱이 극장용 애니메이션 개방이 보류됐다고 해도‘케이블TV · 위성 방송 중심으로 방송 프로그램 개방폭 확대’를 골자로 한 일본문화 4차 개방계획이 발표됨에 따라 각 방송사들은 각종 해외작품을 자사 방송사에 편성하려는데 전력을 기울이고 있어 국내 애니메이션은 설자리를 잃어가고 있는 실정이다. 이번 조치가 과연 국내 애니메이션 업계를 활성화시킬 수 있는 기회로 작용할지 최근 국내 애니메이션 업계의 현주소를 진단해본다.

• Digital Contents
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• no.6 s.133
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• pp.109-111
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• 2004

99년과 2000년에 KBS를 통해 방송돼 선풍적인 인기를 끌었던‘검정고무신’은 이미 어른 아이 할 것 없이 우리에게 친숙한작품. 현재는 30~40대의 기성세대 된 이들의 어린시절이었던 60~70년대의 추억을 정겹게 묘사한 창작 애니메이션으로 재미뿐 아니라 아련한 추억의 감동까지 동시에 전하고 있기 때문이다. 이러한 화제의 애니메이션 검정고무신이 3년만에 부활해 지난 5월 19일부터 새롭게 안방문을 두드렸다. 원작만화가 92년부터 출간되기 시작해 아직도 인기리에 연재되고 있는 상황에서 재구성된 검정고무신은 시청자들의 관심을 반증하는 것이다. 특히 후속시리즈로 다시 제작된 이 작품은 산학협동으로 제작돼 주목을 받고 있다. 아련한 추억의 세계로 우리를 인도하고 있는 검정고무신을 만나본다.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.500-507
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• 2021

The virtual reality industry has an opportunity to take another leap forward with the surge in demand for non-face-to-face content and interest in the metaverse after Covid-19. Therefore, in order to popularize virtual reality content along with this trend, high-quality content production and storytelling research suitable for the characteristics of virtual reality should be continuously conducted. In order for content to which virtual reality characteristics are applied to be effectively produced through user feedback, a quantitative index that can evaluate the content is needed. In this study, the process of viewing virtual reality contents was analyzed and head movement was set as a quantitative indicator. Afterwards, the experimenter watched five animations and analyzed the correlation between recorded head movement information and immersion. As a result of the analysis, high immersion was shown when the head movement speed was relatively slow, and it was found that the head movement speed can be used significantly as an index indicating the degree of content immersion. The result derived in this way can be used as a quantitative indicator that can verify the validity of the storytelling method applied after the prototype is produced when the creator creates virtual reality content. This method can improve the quality of content by quickly identifying the problems of the proposed storytelling method and suggesting a better method. This study aims to contribute to the production of high-quality virtual reality content and the popularization of virtual reality content as a basic research to analyze immersion based on the quantitative indicator of head movement speed.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.526-537
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• 2019

This study researched the effect of application systems for media industry by using machine learning method focusing on industrial organization theory. First, for applying the system successfully, formation of sympathy about needs is required. The introduction of machine learning can bring change in each stage of value chain especially, decision making process of investment and production process. In investment side, objective performance prediction data can enhance efficiency, and content diversity can decrease with concentrated investment phenomenon to secured content by the system. In production side, if the system support to make creators decrease simple repeat works, production efficiency will increase.

• Journal of Popular Narrative
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• v.27 no.2
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• pp.107-142
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• 2021

Emergence of new media platform had changed relationship between the broadcaster and the viewer, which used to form 'performer-audience' structure. This research has focused on the transition of 'streamer-viewer' role in single-media broadcasting, such as Youtube or Twitch, and identify how they progress group storytelling as a team. Walter Benjam and Leslie Marmon Silko's notion of 'story and storyteller' and Erving Goffman's 'social role theory' was used to define participants' role in new media broadcasting. channel, on Youtube, was selected and analyzed as example case. The domain of 'front stage' was broadened in recorded contents comparing to live streaming. The audience of live streaming is included to the front stage during the expansion. The role of streamer, game participant, and live stream contents viewer is also adjusted during the change, which leads to group-creation of the contents. Streamer plays a role of main-storyteller and suggest identity of the community. Game participants work as sub-storyteller, filling in the blank space in game storytelling and making it sophisticated. They also perform based on community's identity, which streamer has built in advance. Lastly, live steam viewers are intermittent sub-storyteller, which seldom add up the narrative. Though, their main role is to preserve identity of game broadcasting community by reacting according to community's identity. As a result, the game broadcasting narrative is developed by combining and adding up pieces of story made in different level and role of participants. The research redefine the role of viewer and storytelling method in new media, especially in single-person broadcasting. Considering the rapid shift in recent media and contents, a new approach to the streamer-veiwer role and group storytelling of this research can be one of the new method to analyze contents produced in new media, such as Youtube.