• Cartoon and Animation Studies
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• s.38
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• pp.259-286
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• 2015

This study investigates the effect of the motivation to use webtoon and the convenience of use(the character of the webtoon service) on the interactivity, and then examines how the interactivity affect the webtoon user's satisfaction and willingness to pay. Using factor analysis, this study found two motivations to use webtoon including 'information acquisition', 'entertainment and easiness of access'. These motivations have an influence on the interaction of the content and Webtoon's user and of Webtoon's users. The motivation of the entertainment and easiness of access is more influential to user's interactivity. The convenience of use is divided two types that are the convenience of the searching information and service. The convenience of webtoon service has positive influence of two types of interaction. The last results find that webtoon user's satisfaction is influenced by gender, the convenience of the searching information and using service. The satisfaction of the female user is higher than man. The more convenience of use is, the more satisfaction of users will be. Willingness to pay is influenced by age, the convenience of webtoon service, and the user's interactivity. The older users are, the more convenience of webtoon service is, and the more the user's interactivity, the higher willing to pay will get. The implications of the findings are discussed in terms of the way to change the profit structure of webtoon service and suggest to increase the interactivity in webtoon service.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.280-285
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• 2007

This paper proposes a technique improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using word senses is very important processing for improving performance by eliminating the irrelevant pages from the result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the performance of retrieval system with user feedback deciding the query sense and information seeking behavior to web pages.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.796-801
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• 2002

최근의 소프트웨어 개발은 객체지향 프로그램 개발 기법을 사용하여 소프트웨어를 개발하고 있다. 초보 개발자에게는 적절한 객체를 식별하고 정확한 속성과 행위를 부여하는 객체 지향 기법은 상당히 힘든 문제이다. 객체의 집합, 즉 클래스 모델링 기법에도 재사용 기법을 사용한다면 이미 작성된 모델을 참조하여 객체 지향 개발 기법을 처음 접하는 초보 개발자에게는 학습의 기회를 제공하고, 숙련된 개발자에게는 검증된 모델을 통해 모델링 실패를 방지할 수 있는 안전성을 제공할 수 있다. 본 논문에서는 유사성(Similarity) 측정 기법을 적용하여 클래스간의 유사도를 판단하고, 관계 일치여부를 분석하여, 재사용 가능한 클래스를 검색하는 모델을 제안한다.

• Proceedings of the Korean Society for Information Management Conference
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• 1996.08a
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• pp.127-130
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• 1996

본 논문에서는 최근에 수행된 이용자 정보추구 행위를 이용자 측면에서 조사한 4 연구를 비교 분석하고 있다. 이 연구들이 제시한 이용자 측면의 다양한 정보원 선택 요소의 비교 분석 결과는 정보검색 분야의 중요한 역할을 해 온 적합성 개념에 대한 이해를 제공할 뿐만 아니라, 보다 개선된 정보검색시스템 개발에 이론적 기초를 제공할 것이다.

• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.29-44
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• 2007

The purpose of this study was to explore whether the concept of amount of invested mental effort (AIME) developed in the field of educational psychology can help explain why people put so little effort into online searching. In this experimental study, two information retrieval systems - a web search engine and a university library system - were used to make a comparison. The data were collected from 15 undergraduate students through background questionnaires, think-aloud protocols, search logs, post-search questionnaires, and post-task interviews. The findings indicate that perception of the web's "easy-ness" and high levels of self confidence in searching capability led the subjects to put less effort into web searching than they do into library system searching. In addition, the perceived difficulty of search task influenced the extent of mental effort invested. The AIME proved a useful framework for understanding search behavior and user experience for both web search engines and library systems.

• Proceedings of the Korean Society for Information Management Conference
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• 2010.08a
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• pp.45-54
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• 2010

정보환경의 변화에 따라 도서관과 웹 검색엔진의 차별성이 있음에도 불구하고 이용자들은 인터넷의 자원과 학술데이터베이스의 자원을 혼동하고 있다. 특히 구글스칼라가 갖는 검색속도와 조작의 편의성이라는 장점에 따라 데이터베이스의 학술적 가치에도 불구하고 구글스칼라를 가장 많이 이용하고 있다. 이 연구에서는 구글스칼라가 갖는 장점을 반영한 메타서치시스템의 특성과 가치를 조사하였다. 조사 대상은 메타서치시스템이 갖는 인터페이스 측면과 전자정보원 측면에서 비교 분석하였다. 이러한 새로운 검색채널로써 메타서치시스템을 이용하는 기관의 이용통계를 분석하여, 이를 바탕으로 구글스칼라와 같은 웹 검색엔진이 갖는 이용자선호가치를 수용하는 상황에서 이용자 이용행태 패턴과 주제별 전자정보 탐색 행위 등을 조사하였다.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.772-776
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• 2009

최근 디지털 음악 시장의 비약적인 발전과 더불어 컴퓨터 시스템을 이용한 음악정보검색 시스템의 연구가 활발히 진행되고 있다. 하지만 대부분의 연구가 시스템 구현에 목적이 있고, 시스템에서 행해지는 사용자의 행위에 초점을 맞추기 있기 때문에 사용자들이 정보요구에 대한 만족도가 크지 못한 실정이다. 본 논문에서는 사용자의 상황인지를 통해 구축된 Life-Log를 기반으로 비슷한 성향의 사용자들을 필터링하는 협업필터링 기법을 사용한 음악정보검색 시스템을 제안한다. 실험결과 음악파일에 대한 메타데이터 검색 시스템에 비해 더 나은 사용자 만족도를 보였다.

• The KIPS Transactions:PartB
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• v.13B no.5 s.108
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• pp.533-540
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• 2006

The semantic web environment promise semantic search of heterogeneous data from distributed web page. Semantic search would resuit in an overwhelming number of results for users is increased, therefore elevating the need for appropriate personalized ranking schemes. Culture Finder helps semantic web agents obtain personalized culture information. It extracts meta data for each web page(culture news, culture performance, culture exhibition), perform semantic search and compute result ranking point to base user profile. In order to work efficient, Culture Finder uses five major technique: Machine learning technique for generating user profile from user search behavior and meta data repository, an efficient semantic search system for semantic web agent, query analysis for representing query and query result, personalized ranking method to provide suitable search result to user, upper ontology for generating meta data. In this paper, we also present the structure used in the Culture Finder to support personalized search service.

• Journal of Science and Technology Studies
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• v.13 no.1
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• pp.181-216
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• 2013

This paper tries to analyze technologies of search engine generally, and reveal the additional modes of Korean search engine at the same time. Recently it said that search engine becomes a self-moving and is getting more strong power than the former one existed. There are many difference interpretative views from technological determination to instrumentalism surrounding this system. Search engine invents the technological mode that draws user's attention to make its own expertise reinforce. It is stemmed from the rationality of its own. Especially Korean search engine exposed unique mutation as self-proliferation of it during past a decade, as for example "related keyword" or "real-time popular keyword" service. Its automatic decision aroused democracy matter, now it is not only web guide. How we do make it to serve in democracy, accepting the independent expertise of it simultaneously? We might find new prospect when focusing on interactional modality between engine and human actor, instead counting both as a separate one.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1101-1112
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• 2004

In this paper, we propose a Web page weighting scheme using the user preference in each sense of query word to improve the performance of Web search. Generally search engines assign weights to a web page by using relevancy only, which is obtained by comparing the query word and the words in a web page. In the information retrieval from huge data such as the Web, simple word comparison cannot distinguish important documents because there exist too many documents with similar relevancy In this paper we implement a WordNet-based user interface that helps to distinguish different senses of query word, and constructed a search engine in which the implicit evaluations by multiple users are reflected in ranking by accumulating the number of clicks. In accumulating click counts, they are stored separately according to senses, so that more accurate search is possible. The experimental results with several keywords show that the precision of proposed system is improved compared to conventional search engines.