• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.759-776
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• 2009

This paper aims at identifying trust factors to be managed in UCC environment, and how those trust factors impact on trust in UCC site. Also this paper examines the moderating effect of level of UCC participation(UCC retrieve, UCC production) on the relation between trust in UCC site and intention to use. For this purpose, we identified information, system, service, and site trust through intensive review of prior researches and some expert interviews. A total 338 surveys were used to analyze research hypothesis. The findings show that information, system, and service trust is positively and significantly related to site trust, and then site trust has impact on UCC usage. But, It is proven that there is no difference in effect of site trust on UCC usage according to level of UCC participation.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.1014-1022
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• 2008

최근 들어 WWW(World WideWeb) 환경은 데이터의 소유자나 독점자 없이 누구나 손쉽게 데이터를 생산하고 인터넷에서 공유할 수 있도록 한 사용자 참여 중심의 인터넷 환경인 Web 2.0 시대를 맞이하고 있다.Web 2.0 관련 기술이 발달함에 따라 UCC(User Created Contents) 웹사이트의 사용자 수는 폭발적으로 증가하고 있다. 이에 따라 여럿의 중지를 모아 만들어지는 집단지성의 중요성이 부각되고 있고, UCC 웹사이트는 고품질의 집단지성을 제공하려고 다양한 서비스 및 상품의 개발을 하고 있다. 또한, UCC 웹사이트들은 자신들이 제공하는 집단지성을 사용자들이 채택하도록 많은 노력을 기울이고 있다. 본 연구는 대표적인 UCC 웹사이트인 위키피디아(www.wikipedia.org), 네이버 지식인 (kin.naver.com), 윙버스 (www.wingbus.com) 를 비롯한 실용적 특성 UCC 웹사이트를 대상으로 집단지성에 대한 신뢰가 실용적 특성 UCC 웹사이트의 지속사용에 미치는 영향을 분석하였다. 구조방정식 모형을 개발하여 실증분석을 한 결과 집단지성에 대한 신뢰가 사용자 만족을 통해 지속사용에 영향을 주는 것으로 분석되다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.273-277
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• 2009

Recently user-generated contents have been drastically increased. In this paper, we introduce the user reputation which can be used to evaluate quality of the content they created. First we have composed a social network that is based on user activity. And we have developed the algorithm to evaluate the users' reputation using this social network.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.161-175
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• 2012

The purpose of this study is to investigate the relationships among UCC information traits, consumer satisfaction, consumer trust, and intention of purchase. The data was collected 297 customers and analyzed using SPSS ver. 14.0. The results of this study are as follows: First, informativeness, playfulness, reliability, and usefulness of UCC information traits had significantly positive effect on consumer satisfaction. Second, informativeness, reliability, usefulness, and interactivity of UCC information traits had significantly positive effect on consumer trust. Third, consumer satisfaction and consumer trust had significantly positive effect on purchase intention. According to the results, UCC information traits are commonly important feature throughout customer satisfaction and trust. And customer satisfaction and trust are important factors on purchase intention.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.12-16
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• 2009

Exponentially increasing UCC, experiences which some people get at the specific time and in the specific location are shared on the Web more easily. Also, UCC have been more reliable and more efficient resources, because of many people's natural valuation on each UCC. UCC have potential possibility to be primary factor in all ubiquitous computing environment. However, like ubiquitous computing techniques themselves the current availability and utilization of online UCC is far from realizing their full potential. In this paper, we propose a technique that integrates existing methods from information retrieval and tagging technologies to correspond with user's underlying need for some information in ubiquitous computing environment.

• Journal of the Korea Society for Simulation
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• v.19 no.1
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• pp.83-90
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• 2010

We describe a novel method for improving the performance of the UCC retrieval using content reputation and user reputation. The UCC retrieval is a part of the information retrieval. The goal of the information retrieval system finds documents what users want, so the goal of the UCC retrieval system tries to find UCCs themselves instead of documents. Unlike the document, the UCC has not enough textual information. Therefore, we try to use the content reputation and the user reputation based on non-textual information to gain improved retrieval performance. We evaluate content reputation using the information of the UCC itself and social activities between users related with UCCs. We evaluate user reputation using individual social activities between users or users and UCCs. We build a network with users and UCCs from social activities, and then we can get the user reputation from the network by graph algorithms. We collect the information of users and UCCs from YouTube and implement two systems using content reputation and user reputation. And then we compare two systems. From the experiment results, we can see that the system using content reputation outperforms than the system using user reputation. This result is expected to use the UCC retrieval in the feature.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2818-2826
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• 2010

This research was conducted to develop a model appropriate for the measurement of information quality of UCC service site. The evaluation factors that reflect more improvement of the information utilization capability were verified. Enhancement of information utilization capability can control greater amount of information among the users and site companies, and among users. Therefore, Wikipedia, for example, provides a Web 2.0 based information quality that is more advanced than Web 1.0 by allowing effective control of information among the users. This type of information quality presents 'information reliability' and 'information stability' as evaluation factors added to the factors such as 'information sufficiency' and 'information usability.' Information reliability and information stability are essential factors that need to conduct an evaluation in the Web 2.0 environment that can distribute greater number of information in the environment where all the users serve as participants. Moreover, 'interesting information' and 'originality of information' suggests that information itself should include the attributes that can attract the attention of users, due to the nature of the Attention Economics, which points out one of the Web 2.0 phenomenon that the number of information consumers is smaller than that of information suppliers.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.399-402
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• 2009

Web 2.0 시대의 대표적인 콘텐츠인 UCC와 Learning 콘텐츠를 접목시킨다면, 효과적인 지식공유와 습득을 유도할 수 있을 것이다. 두 콘텐츠를 접목시켰을 때 일어날 수 있는 전문성과 신뢰성, 저작권법 관련 등의 문제점을 효과적으로 해결하기 위한 방안으로 History 검색을 제안한다. 또 그에 따른 메타데이터 설계와 데이터 검색방법을 제안한다. 효율적인 UCC기반 Learning history 검색을 위해서 reference 요소관리가 가능하도록 DB를 설계하였다. 저작도구를 이용하여 제작된 Learning UCC는 reference 요소를 통해 소스 콘텐츠에 관한 정보를 가지고 올 수 있으며, reference DB에 저장된 정보에 따라, 사용자에게 reference에 관한 정보들을 효과적으로 제공 할 수 있다. 저작도구를 사용해야 한다는 제한성과 검색 효율성을 보다 개선한다면 Learning UCC를 관리하기 위한 효과적인 시스템이 될 것이다.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.114-128
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• 2008

This study aims to explore the effects of interaction through UCC at online brand communication on scrap intention and visiting loyalty. According to study results, first, only information feature has positive effects on all interactions among quality feature of brand community; Second, confidence and responsiveness feature of brand community has positive effects on the connection feature among elements of interaction; Third, certainty has positive effects on activeness and connection among interaction elements. Fifth, while intention of sharing has positive effects on activeness and connection among interaction elements, it has no effects on the responsiveness. Finally, interaction does not affect the responsiveness of scrap intension, but has positive effects on visiting loyalty.

• Journal of Internet Computing and Services
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• v.8 no.5
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• pp.1-10
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• 2007

Recently, the web 2.0 services which appear by exponential extension of the Internet can be expressed with the changes in the quality of structural evolution and in the quantity of increasing users. The structural base is in user participational architecture, the web 2.0 services such as Blog, UCC, SNS(Social Networking Service), Mash-up, Long tail, etc. play a important role in organization of web, and grouping and searching of user participational data in web 2.0 is broadly used by folksonomy. Folksonomy is a new form that categorizes by tags, not classic taxonomy skill. it is made by user participation. Searching based on tag is now done by a simple text or a tag cloud method. But searching to consider and express the relations among each tags is imperfect yet. Thus, this paper provides the relational searching based on tags using the relational graph of tags. It should improve the trust of the searching and provide the convenience of the searching.