초록

Abstract

Augmented Reality (AR) is a mix of the real world that is enhanced by virtual objects from computer-generated information. AR is currently used in a variety of information systems and library services. AR technologies are also being developed for today’s children, who are digital natives and are exposed to various technologies even earlier. To assist librarians who need to accurately understand users’ information needs and perceptions of the technology being used in their libraries, we conducted a study of AR perceptions among children. We conducted two online co-design sessions using “Would you rather?”, a co-design technique that facilitates research into children’s opinions. Through the co-design sessions, we found that children were psychologically wary about AR technology due to a lack of trust in the technology, and realism had a significant impact on these judgments. We also identified that children considered AR technology environments as an extension of the real world. Their real-world values directly influenced their perceptions of AR. This research provides insights into the wariness that libraries need to be aware of when developing AR content for children in the future, and how libraries can use AR as an educational tool.

초록

웹사이트는 기존의 정보의 저장소로서의 역할에서 벗어나 이용자와의 커뮤니케이션과 상호작용을 위한 동적인 정보접근 수단으로 변화하고 있다. 이러한 기능이 효과적으로 수행되기 위해서는, 웹사이트에 수록되는 정보는 체계적이며 이용자가 쉽게 이해할 수 있는 방식으로 조직되어야 한다. 이러한 측면은 대학 웹사이트에서는 더욱 중요한 의미를 갖게 된다. 하지만, 현재의 대학 웹사이트에서 채용하고 있는 정보구조에는 이용자의 정보요구가 반영되지 않고 있으며, 일률적인 체계로 정보를 조직함으로써 웹사이트 전체의 효용성을 저하시키고 있다. 이러한 문제를 해결하기 위해서, 본 연구는 이용자의 정보요구를 최대한 반영하고 웹사이트 전체의 정보접근성을 확보할 수 있는 대학 웹사이트의 정보구조를 제안하는데 그 목적을 두고 있다.

Abstract

In the current information environment, the concept of a website has been transformed from the repository of information to means of accessing information which can communicate and interact with users. To function well as an accessing tool to information, the information embedded in a website should be organized in a way that users can easily understand the whole informational structure. This aspect of a website might be more important to a university's website. However, the informational structures which current university's websites adopt do not reflect their users' information needs. They construct their structure uniformly, and it causes the decrease of the websites' usability. To solve these problems, this study proposes a new and systematical way of constructing a university's website which can reflect users' information needs and ensure the usability of the websites.

초록

본 연구는 코로나19 상황 속에서 일반 시민들이 어떻게 재난정보와 건강에 대한 정보를 찾고 추구하는지 파악하는 것을 목적으로 한다. 구체적으로, 재난 및 건강에 대해 어떤 정보요구가 있는지, 어떤 정보원을 통해 정보를 찾고, 어떤 경로를 통해 정보를 이용하고 있는지, 정보 이용에 대한 신뢰 및 불만과 그에 따른 개선책은 무엇인지를 조사하고자 한다. 이를 위해 20세 이상의 일반시민들을 대상으로 온라인 설문조사를 수행하였다. 인구통계학적 특성, 재난에 대한 정보추구행태, 건강에 대한 정보추구행태, 도서관의 역할이라는 주제항목 아래 45개의 질문문항을 구성하여 질의하였다. 조사 결과에 따라 최종적으로 재난상황에 대한 정보와 전염병으로 인한 건강에 대한 정보를 정부나 공공단체가 제공할 때, 시민들의 기본 요구를 중심으로 어떤 종류의 정보를 어떤 방식으로 제공해야 하는지, 특히 어떤 미디어나 시스템을 통해 제공하는 것이 만족도와 신뢰감에 영향을 주는지, 중요한 공적 정보채널이자 시스템 중 하나인 도서관은 재난상황에서 어떤 역할을 수행해야 하는지를 제언하였다.

Abstract

The purpose of the research is to investigate general citizens’ information needs, seeking and uses about both disaster and health information in the middle of disaster of COVID-19 pandemic: what kinds of information they need, what kinds of information sources they use, which channels and media they use to learn the information, etc. To achieve the goal, the study conducted an online survey for general citizens over the age of 20. The survey is composed of 45 questions including four topics—demographic characteristics, information seeking behavior on both disaster and health, and the roles of public information organizations such as libraries in the middle of disaster. On the basis of the results, the research discusses and suggests that what kinds of information should be supplied and in what manners, and which media or information systems should be used when the governments or public organizations provide the information regarding disaster and health, and what roles public information organizations such as libraries should play in the middle of disaster.

초록

Abstract

Our limited understanding of real-life music information queries is an impediment to developing music information retrieval (MIR) systems that meet the needs of real users. This study aims to contribute to developing a theorized understanding of how people seek music information by an empirical investigation of real-life queries, in particular, focusing on the accuracy of user-provided information and users' uncertainty expressions. This study found that much of users' information is inaccurate; users made various syntactic and semantic errors in providing this information. Despite these inaccuracies and uncertainties, many queries were successful in eliciting correct answers. A theory from pragmatics is suggested as a partial explanation for the unexpected success of inaccurate queries.

초록

Abstract

Policy information is very valuable around the nation in its aspects of uniqueness, professionalism and specificity, so it has great significances to individual citizens. Therefore, it is necessary to prepare systematic instruments for anyone to have easy access to policy information owned by government and administrative institutions. And particularly, it is so impending to develop efficient policy information service(PIS) system. Indeed, however, Korea doesn’t have yet established any policy or system to make policy information available en bloc to citizens. Thus, the purpose of this study is to conduct a survey to analyze actual profile of Korean policy information circulating institutions, and is also to analyze needs for domestic circulation of policy information, so that it can seek possible ways to consolidate domestic scattered policy information into a nationwide information system to improve national policy information infrastructure of Korea.

초록

Abstract

This exploratory study outlines the rationalization of why Ontology’s taxonomy requires a strong hierarchy, accuracy, and interoperability in order to be used as a successfully re-useable information management system. Finding the relevant information in a plethora of possible resources by bridging the gap between the user’s needs and the resources of the information technology system is the goal that the information management field should find a way to achieve. This study is based on discussions and interviews with a taxonomist, information architect, and information manager, whose discussions were based on the usability and interoperability of the knowledge based information systems. These professional perspectives are necessary as they are the liaison between users and the information technology group. We found that in order for information managers to ensure successful sharing of knowledge across the end users, a common sense language must be issued in order to achieve reasoning for the artificial intelligence system.

초록

본 연구는 디지털참고정보서비스의 최근 개발 동향을 고찰한 것이다. 디지털참고정보서비스와 관련한 국내외 선행 연구를 개관하였고 기술 개발로 인한 새로운 서비스 패러다임을 설명하였다. 그리고 웹 상의 참고정보서비스로서 도서관이 제공하는 것, 출판사에 의한 것, 전문가에 의한 것, 그리고 이용자 직접 탐색 등을 간략하게 열거하였다. 최근의 추세는 협력 모델이 주목을 받고 있으므로 Collaborative Digital Reference Service(CDRS)와 같은 디지털참고정보서비스 협력을 중점적으로 소개하였다. 도서관 전문직들은 디지털 환경에 적합한 참고정보서비스 협력에 관심을 가지고 그 필요성을 분석해야 할 것이다.

Abstract

This paper describes recent developments and trends of digital reference services. A brief overview of selected research on issues surrounding digital reference service is provided. It also discusses how technological developments in libraries have led to the emergence of new service paradigms. This paper briefly reviews reference and information services provided by libraries, those from publishers, those provided by experts, and those where users need to conduct a search and find information through the web. The current trend shows that the cooperative model is increasingly popular. Some projects on collaborative digital reference services(CDRS) are introduced. Librarians will need to continue analyzing the need for cooperative work in the reference service in a digital environment.

초록

오늘날 점차 데이터 집약적으로 변모하는 학문 환경 속에서 데이터는 연구부산물이 아닌 연구성과물로써 학술 커뮤니케이션의 기반으로 자리 잡아가고 있다. 그러나 데이터 공급의 확대나 접근가능성의 확보만으로는 실제적인 데이터 재이용을 담보하는 데 한계가 있다. 이를 극복하기 위해서는 학술연구자의 데이터 재이용 행위와 데이터요구를 심층적으로 파악할 필요성이 있다. 따라서 본 연구는 연구자의 주요 데이터 재이용 행위와 데이터요구를 규명하고자 하였다. 이를 위해 한국사회과학자료원(KOSSDA)의 최근 3개년 데이터 재이용문헌 중 KCI 등재 논문의 저자를 연구대상으로 선정하고, 인터뷰를 수락한 연구자 12명과의 심층면담을 수행하였다. 심층면담 분석결과, 데이터를 재이용하는 요인은 개인적, 경제적, 기술적, 사회적 측면 모두에서 나타났으며, 데이터 재이용 목적에 따라 데이터 그 자체를 이용하거나 데이터가 지닌 맥락정보를 활용하였다. 웹 기반의 정보원으로부터 데이터를 주로 습득하였으나 비공식적인 커뮤니케이션을 통해 파악하는 경우도 있었다. 한편 데이터 재이용 시에 발생하는 학술연구자의 데이터요구를 살펴보면 생산 단위는 기관을, 언어는 영어를, 국가로는 미국을 선호하였다. 또한 조사원 기입식 대인면접 조사 방식으로 수집된 양적 데이터를 우선시하였다. 메타데이터와 식별정보를 충분히 포함한 원자료 수준의 데이터를 긍정적으로 인식하였으나, 접근 및 이용이 통제된 데이터는 데이터가 지닌 가치에 대한 확신을 갖기 어려워 부정적으로 받아들였다. 그러나 데이터의 규모나 최신성과 관련된 선호는 뚜렷하게 나타나지 않았는데 이는 선택 가능한 유사 데이터가 부재하였기 때문이었다.

Abstract

In today’s increasingly data-intensive academic environment, data is becoming the foundation of academic communication as a research outcome rather than a research by-product. However, there is a limit to guaranteeing actual data reuse only by expanding the data supply or securing accessibility. In order to overcome this, it is necessary to understand the data reuse behavior and data needs in-depth. Therefore, this study attempted to identify the major data reuse behavior and data needs among researchers. To this end, the authors of KCI papers among the data reuse documents of the Korea Social Science Data Archive (KOSSDA) for the past 3 years were targeted. An in-depth interview was conducted with 12 researchers who accepted the interview. As a result, factors considered when reusing data were personal, economic, technical, and social aspects, and it was found that the data itself was used or contextual information of the data was used depending on the purpose of data reuse. The path to acquiring data is a web-based source of information, and a path through informal communication can also be found. In terms of the data needs, it was found that they prefer English, the United States, and institutional producers. Also they have a clear preference for quantitative data from an interviewer-filled interpersonal interview survey method, rich metadata along with raw data, and data that contains identification information. However, due to the lack of confidence in the value, it is negative for the use of data with controlled access and use, and it is difficult to confirm a clear preference because there is no similar data available for selection in terms of size and freshness.

초록

Abstract

The purpose of this study is to investigate how individuals assess Chinese, Japanese, and Korean (CJK) transliterated bibliographic information on current library catalogs. Two separate studies, a survey and an experiment, were conducted using the WorldCat system. Users noted that Romanization has many issues which can inhibit user’s ability to understand the transliterated bibliographic information even when it is in the person’s own native language and even when the individual had extensive experience with transliteration systems. The experimental results also supported these findings: participants had better results and satisfaction when looking for information written in English than when searching for transliterated information written in their native language. Implications for future research suggests a need to investigate user preferences for translation vs. transliteration of bibliographic information. This study proposes consideration of using English translation as a parallel link with CJK Romanization for bibliographic information.

초록

최근 웹 환경이 대중화되고 개방됨에 따라 웹은 단순한 정보 획득의 공간이 아닌, 의견 표출과 교환의 장이 되어 가고 있으며, 이에 따라 웹 상에서 표출된 특정 주제에 대한 사람들의 의견을 자동으로 검색하기 위한 기술 개발의 필요성이 점차 증대되고 있다. 이러한 의견 문서 검색 문제는 사용자 질의와 문서간의 적합성만을 고려하는 일반적인 정보검색 방법으로는 해결하기 어려우며, 문서 내 의견 포함 여부 분석을 수행할 수 있는 더욱 진보된 시스템을 필요로 한다. 본 논문에서는 기존 검색 시스템의 구조 하에서, 의견 문서 검색을 효과적으로 수행할 수 있는 시스템을 제안한다. 의견 검색을 수행하기 위해 문서 내 의견 분석 방법에 대해 기존의 사전 기반 방식과 기계학습 기반 방식을 결합한 새로운 혼합 방식을 제안하고, 실험을 통하여 검색 성능을 개선하는 효과가 있음을 보였다.

Abstract

Recently, as its growth and popularization, the Web is changed into the place where people express, share and debate their opinions rather than the space of information seeking. Accordingly, the needs for searching opinions expressed in the Web are also increasing. However, it is difficult to meet these needs by using a classical information retrieval system that only concerns the relevance between the user's query and documents. Instead, a more advanced system that captures subjective information through documents is required. The proposed system effectively retrieves opinionated documents by utilizing an existing information retrieval system. This paper proposes a kind of hybrid method which can utilize both a dictionary-based opinion analysis technique and a machine learning based opinion analysis technique. Experimental results show that the proposed method is effective in improving the performance.