• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.673-676
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• 2009

In this paper, we describe CAMAR Companoin, a context-aware mobile AR system that provides a user-adaptive assistance with an augmented picture according to the user's context in smart space. It recognizes physical objects and tracks the movement of those objects with a camera embodied to a mobile device. CAMAR Companion observes a mobile user's context, which is sensed by various kinds of sensors in environments, and infers user preference for the content in the situation. It recommends multimedia content relevant to the user's context. It overlays selected content over associated physical objects and enables the user to experience the content in a user-centric manner. Furthermore, we have developed the prototype to illustrate how our system could be used for a mobile user's well-being care applications in smart home environments. In this application, we found that our system could perceive a user preference even though a user's context is changed dynamically, and then adapt the multimedia content with respect to the user's context effectively. As such, the proposed user-adaptive system has the potential to play an important role in developing customized user interfaces in mobile devices.

• Journal of Service Research and Studies
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• v.8 no.4
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• pp.31-51
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• 2018

The objective of this study is to suggest the measures for providing the personalized recommendation service, by analyzing the effects of personalized recommendation service of OTT service on the relationship strength and customer loyalty, and also to verify the differences in meanings of personalized recommendation service in accordance with the type of contents. In the results of this study, the personalized recommendation service has significant effects on the customer loyalty with the mediation of relationship strength, and in accordance with the type of contents mainly used by customers, there are differences in the effects of personalized recommendation service on the customers. Personalized recommendation service could be used as a tool for strengthening the relationship by inducing the commitment, which could improve the customer loyalty. When the contents have more active communications with customers, personalized recommendation service could largely contribute to the improvement of loyalty.

• Annual Conference on Human and Language Technology
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• 2014.10a
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• pp.122-126
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• 2014

감성은 콘텐츠 구매과정에서 결정적인 요소로 작용하며, 영화 콘텐츠의 탐색/소비 과정에서도 콘텐츠 소비의 새로운 기준이다. 그러므로 본 연구에서는 콘텐츠의 내용과 감성을 반영하기 위한 감성분류체계를 제안하였다. 제안한 감성분류체계를 기반으로 사용자의 취향과 감성에 기반하여 콘텐츠를 분류/추천하여 개인화된 편성을 제공하는 것을 "감성 큐레이션"이라 정의하고, 이를 위한 감성기반 큐레이션 방법론을 기술하고 실험을 통해 추천 효과를 입증하였다. 큐레이션은 기존의 개인화 추천과 달리 고객 취향뿐만이 아닌, 신선함, 다양성을 제공할 수 있어야 하며, 상용 큐레이션 서비스에서는 실제 시청으로 연결되는 비율이 중요하다. 본 연구에서는 큐레이션 성능 평가를 위해 성향인지도, 신선도, 다양성에 기반한 만족도 설문조사 방법과 함께, 콘텐츠의 전체 시청률 대비 큐레이션을 통해 추천되어 증가된 시청률의 확대 비율인 Lift score 라는 새로운 평가 방법을 제안하여 그 효용성을 증명하였다.

• The Journal of Korean Association of Computer Education
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• v.8 no.4
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• pp.49-56
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• 2005

Because e-learning system does not have any dynamic contents-delivery mechanism, all students in the same class get identical contents. In this paper, we introduce a personalized learning system, which is carefully designed and implemented based on data stream technology. The proposed system have a mechanism and interface changing lecture contents based on learner's level and ability. The system consists of a dynamic contents-delivery mechanism and learner level-test system. In this paper, we describe what are points to be considered when design and implementing a personalized learning system.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.37-45
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• 2015

With advancement in information technologies and a better mobile environment, the paradigm of service is shifting again from web portals to networked-applications based on individual application programs. Furthermore, as more investment is being made in R&D, the efforts to enhance R&D productivity are becoming important. In this paper, we designed a personalized service model for developing a tool to assist researchers in their R&D activities. To do this, we first compared services and tools in terms of information activities of researchers in R&D. In addition, we also analyzed changes of information environment such as open expansion of information and data, enhancement of personal information protection, popularization of social networking service, very big contents, advances in web platform technology in terms of personalization, and defined some directions of developing a personalized service. Subsequently we designed a personalized service model of research support tool in the views of functions, contents, operation, and defined personalized design goals and principles for implementing it as standard, participation, and open.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.60-64
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• 2003

Individualization serverces to be persuited in most web sites are not one automated by system but collectivization services provided into several groups with information collected in initial register. Also, as most of the web sites provide individualization services according to environmental setting fitted by each individual, it is hard to offer to provide them with analyzing members by system itself. In this paper, as we store behavior characters of members on web surfing into member database and anlyze them automatically, system itself enables to provide individualization services.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.530-535
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• 2006

본 논문에서는 가상현실기반 스토리텔링 시스템을 제작할 때 고려될 일반 사용자를 위한 디자인 방법론을 제안하고자 한다. 최근 가상현실 기술을 이용하여 시각적으로 실감성 높은 콘텐츠를 제작하는 연구에 많은 시도와 진척이 이루어지고 있다. 그러나 시각적 콘텐츠 이상의 의미를 전달하는 방법이나 이를 위한 개인화된 인터페이스에 대한 연구는 아직 미흡한 실정이다. 본 논문에서는 콘텐츠의 개인화된 체험과 그를 위한 인터페이스를 중심으로 스토리를 구성하는 방법을 제안한다. 첫째, 문화재(콘텐츠)에 대한 사용자의 관심도를 고려해 인터랙션(혹은 이벤트) 스토리라인을 구성한다. 둘째, 가상현실기반 프로젝트에 대한 사용자의 경험도를 고려하여 개인화된 인터페이스를 구축한다. 그리하여 사용자가 가상현실기반 스토리텔링을 경험할 때 관심도와 경험도에 맞는 개인별 맞춤 스토리를 경험할 수 있게 하는 것이다. 제안된 스토리텔링 기법은 디지털 에듀테인먼트 시스템에 효과적으로 활용될 것으로 기대된다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.189-193
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• 2006

문맥광고 또는 컨텍스트 기반 광고란 사용자들이 선택한 웹 콘텐츠 내용을 기반으로 하여 연관성 있는 광고를 자동으로 선택하여 사용자에게 제공하는 광고기법이다. 즉, 웹 사이트를 방문하는 고객을 타겟으로 하여 그들이 찾고자 하는 것과 관련된 광고를 내보냄으로써 효과적인 광고가 이루어지도록 하는 것이다. 그러나 기존의 문맥광고는 사용자가 관심을 가지는 키워드가 아닌 광고주가 선택한 키워드를 중심으로 광고 내용을 선택하기 때문에 사용자의 실제적인 관심이 반영되지 않아 광고의 효과가 떨어지는 문제점을 가지고 있다. 이러한 문제를 해결하기 위해 본 논문에서는 사용자가 웹 콘텐츠를 선택할 때 마다 사용자의 선호도를 동적으로 학습하고, 학습된 선호도를 문맥광고에 활용하는 개인화된 문맥광고를 제안한다. 실험을 위해서 제안한 방법으로 광고를 생성해서 보여주는 웹 브라우저를 구현하여 기존의 문맥광고와 개인화된 문맥광고에 대한 사용자의 평가를 비교하였다. 실험 결과 본 논문에서 제안한 개인화된 문맥광고가 ‘콘텐츠의 내용과의 연관성’, ‘사용자의 클릭여부’ 등의 항목에서 기존의 문맥광고에 비해 우수하다는 결과를 얻을 수 있었다.

• Journal of the Korean Society for information Management
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• v.26 no.1
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• pp.81-105
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• 2009

In this paper, we propose user contents using behavior and location information on contents on various channels, such as web, IPTV, for contents distribution. With methods to build user and contents profiles, contents using behavior as an implicit user feedback was applied into machine learning procedure for updating user profiles and contents preference. In machine learning procedure, contents-based and collaborative filtering methods were used to analyze user's contents preference. This study proposes contents location information on web sites for final recommendation contents as well. Finally, we refer to a generalized recommender system for personalization. With those methods, more effective and accurate recommendation service can be possible.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.120-124
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• 2008

This is a case study of a wellbeing feature for mobile phone. Though it is not related communication feature which is major functionality in mobile phone, it becomes a popular feature by users who want to manage private information and life style. To make a feature for practical usage, Personas is used for development and decision. A late 20 years old lady persona is developed to provide context and background information. Based on the persona, usage scenarios and needed contents were designed. From this case study, suggest a design guideline for personalization features in perspective of user experience design.