• 한국농촌건축학회논문집
• /
• 제4권1호
• /
• pp.37-44
• /
• 2002

There are some studies about user's participation to reflect their desire and value on the planning of house by this time. These were constitution of unit space focused on the apartments, which is mostly theoretical. However, till completion of a construction work, it goes through various processes of some steps such as, buying building site, site planning, architectural planning and construction. In architectural planning process, it takes time for continuous discussion and revision between architects and users. Also changes of plan must of necessity be so because of in or outside conditions. So, right user's participation has its meaning that they take part in each step and portion of process faithfully on whole architectural processes. In this case, tenants of single house were decided and they already buy building site and lay out rules jointly. With this circumstance I've researched a kind of test the reflection on various desires and its acceptance in each steps through completion of a construction work, which is based on their participation.

• 벤처창업연구
• /
• 제1권2호
• /
• pp.1-25
• /
• 2006

본 연구는 웹사이트의 품질을 측정한 연구와 웹사이트 사용만족도 및 웹사이트 지속적 사용의도에 영향을 미치는 요인에 관한 연구를 고찰하고, 이들 문헌을 기초로 웹사이트 사용만족도 및 지속적 사용의도에 영향을 미치는 요인들을 탐색하였다. 본 연구에서는 기존 연구에 기초하여 웹사이트 사용만족도에 영향을 미치는 요인으로 기술적 특성, 컨텐츠 질, 디자인, 네비게이션 특성 등으로 제안하였다. 이들 요인은 웹사이트 사용만족도에 정의 영향을 미치며, 사용만족도는 웹사이트의 지속적 사용의도에 정의 영향을 미치는 관계를 연구 모형으로 설정하고, 이를 회귀분석을 이용하여 검정하였다. 그 결과, 웹사이트의 기술적 특성, 컨텐츠 질, 디자인, 네비게이션 특성 등 웹사이트 특성은 웹사이트의 사용만족도에 유의적인 정의 영향을 미치는 것으로 나타났다. 또한 웹사이트 만족도는 지속적 사용의도에 긍정적인 영향을 미치는 것으로 나타났다.

• 정보관리학회지
• /
• 제33권1호
• /
• pp.317-336
• /
• 2016

오늘날 폭발적인 정보의 증가로 이용자들은 자신이 원하는 정보를 찾기 위해 엄청난 시간과 노력을 기울여야 한다. 이 문제를 해결하기 위하여 이용자의 정보요구를 분석하고 이용자에게 적합한 논문을 추천해주는 논문추천시스템이 등장하고 있다. 그러나 대부분의 논문추천시스템은 논문추천시스템의 핵심인 이용자 프로파일을 간과하고 있다. 따라서 이 연구는 논문추천시스템의 성능을 좌우하는 이용자 프로파일을 기존의 평균으로 계산하지 않고 새로운 TPIPF(Topic Proportion-Inverse Paper Frequency)로 계산하는 방법을 제안하였다. 제안된 방법과 기존의 방법을 모두 논문추천시스템에 적용하여 각각의 성능을 온라인 참고문헌 관리도구인 CiteULike에서 제공된 데이터 실험을 통하여 비교하였다. 그 결과 제안된 TPIPF 방법을 적용한 논문추천시스템의 성능이 더 높다는 것을 알 수 있었다.

• 한국멀티미디어학회논문지
• /
• 제9권12호
• /
• pp.1709-1718
• /
• 2006

Users are able to use the information and service more free than previous wire network due to development of wireless network and device. For this reason, various studies on ubiquitous networks have been conducted. Various contexts brought in this ubiquitous environment, have recognized user's action through sensors. This results in the provision of better services. Because services exist in various places in ubiquitous networks, the application has the time of services searching. In addition, user's context is very dynamic, so a method needs to be found to recommend services to user by context. Therefore, techniques for reducing the time of service and increasing accuracy of recommendation are being studied. But it is difficult to quickly and appropriately provide large numbers of services, because only basic context information is stored. For this reason, we suggest DUPS(Dimension User Profile System), which stores location, time, and frequency information of often used services. Because previous technique used to simple information for recommending service without predicting services which is going to use on future, we can provide better service, and improve accuracy over previous techniques.

• 정보관리학회지
• /
• 제23권2호
• /
• pp.113-127
• /
• 2006

디지털 환경에서 물리적인 문헌 단위가 아닌 문헌의 논리적 하위 구성 요소의 접근과 활용이 기술적으로 가능해짐에 따라 이용자의 전자문헌 활용을 지원할 수 있는 효과적인 인터페이스의 개발이 요청된다. 이 논문은 문헌의 하위 단위로의 접근을 지원하는 이용자 인터페이스 재발을 염두에 두고, 이용자의 정보이용행태, 전자 문헌 모델, 그리고 새로운 상호작용 메커니즘의 세가지 측면에서의 관련 연구를 조사하고 문헌 조사를 바탕으로 새로운 인터페이스 개발을 위한 기본적 요구 사항을 결론으로 도출한다.

• 지식경영연구
• /
• 제9권3호
• /
• pp.21-42
• /
• 2008

As many companies have recognized the importance of Knowledge Management(KM), they have invested lots of their resources in developing and deploying Knowledge Management Systems(KMS) to organize and share knowledge. When they implemented KMS in their organizations, most of them had high expectations about KMS at tile beginning. However, as time passed, its usage was rapidly declined. There have been many attempts to increase its usage. Many research works have tried to find solutions from users and organizations viewpoints, instead of the actual usage data itself. In order to assess the usage level of KMS, they have normally utilized user's attitudes toward KMS by assuming that user attitudes have strong relationship with actual uses of KMS. The purpose of this study is to assess tile impacts of user, organizational, and job characteristics on the satisfaction and the usage levels of KMS. Unlike other studies, this study is to explore impact factors which affect the usage level of KMS in organizations by using actual KMS log data as well as user's attitudes.

• ETRI Journal
• /
• 제35권6호
• /
• pp.1105-1114
• /
• 2013

Owing to the large number of video programs available, a method for accessing preferred videos efficiently through personalized video summaries and clips is needed. The automatic recognition of user states when viewing a video is essential for extracting meaningful video segments. Although there have been many studies on emotion recognition using various user responses, electroencephalogram (EEG)-based research on preference recognition of videos is at its very early stages. This paper proposes classification models based on linear and nonlinear classifiers using EEG features of band power (BP) values and asymmetry scores for four preference classes. As a result, the quadratic-discriminant-analysis-based model using BP features achieves a classification accuracy of 97.39% (${\pm}0.73%$), and the models based on the other nonlinear classifiers using the BP features achieve an accuracy of over 96%, which is superior to that of previous work only for binary preference classification. The result proves that the proposed approach is sufficient for employment in personalized video segmentation with high accuracy and classification power.

• Journal of Information Technology Applications and Management
• /
• 제17권4호
• /
• pp.1-17
• /
• 2010

As web technologies evolve and so-called Web 2.0 technologies appear, collective intelligence is being applied in widespread areas. In general, mass collective intelligence like Wikipedia is created, revised, and managed by anonymous participants in an uncontrolled system. Thus, the knowledge provided by mass collective intelligence may be distorted, and may not be true, which may affect the user acceptance behavior. However, there have been few academic studies that analyzed the factors that affect user acceptance of mass collective intelligence, and their relationships. Under this academic background, we develop a model to examine how mass collective intelligence is accepted by users. The theoretical model is validated through an online survey of the Wikipedia users from three universities in Korea. The results reveal that the users will have positive attitude towards adopting mass collective knowledge when they perceive that the knowledge from mass collective intelligence is useful. We also find that the perceived usefulness of the knowledge is affected by perceived knowledge quality and trust in knowledge contributors. The results also suggest that perceived knowledge quality is determined by perceived level of collaboration, perceived objectivity, and recipient expertise, whereas trust in knowledge contributors is determined by natural propensity to trust and perceived objectivity. Theoretical and practical implications about mass collective knowledge are discussed.

• Asia pacific journal of information systems
• /
• 제26권1호
• /
• pp.1-21
• /
• 2016

Social media is increasingly being used as a source of information during crises, such as natural disasters and civil unrests. However, the quality and truthfulness of user-generated information on social media have been a cause of concern. Many users find distinguishing between true and false information on social media difficult. Basing on the elaboration likelihood model and the motivation, opportunity, and ability framework, this study proposes and empirically tests a model that identifies the information processing routes through which users develop trust, as well as the factors that influence the use of these routes. The findings from a survey of Twitter users seeking information about the Fukushima Daiichi nuclear crisis indicate that individuals evaluate information quality more when the crisis information has strong personal relevance or when individuals have low anxiety about the crisis. By contrast, they rely on majority influence more when the crisis information has less personal relevance or when these individuals have high anxiety about the crisis. Prior knowledge does not have significant moderating effects on the use of information quality and majority influence in forming trust. This study extends the theorization of trust in user-generated information by focusing on the process through which users form trust. The findings also highlight the need to alleviate anxiety and manage non-victims in controlling the spread of false information on social media during crises.

• 농촌지도와개발
• /
• 제4권1호
• /
• pp.201-209
• /
• 1997

The objective of this study were 1) to review concepts of user information satisfaction (UIS), 2) to analyze tools for measuring user information satisfaction, 3) to identify factors affecting information satisfaction. The study was carried out by the analysis of literatures related to information system. The construct of UIS has been operationalized in many different ways. Several studies employed single-item rating scales; such scales have been criticized as unreliable. Single-item scales also provide little information as to what the user finds dissatisfying(satisfying) and are thus of limited utility outside a research setting. Multiple-item UIS measures have become increasingly common. Generally, they are of two types. The first focuses on the information system product. With such diverse names as "system acceptance", "output quality", and "appreciation", these scales focus on the content of the information system and the manner in which the information is presented. The second type of multiple-item scale includes the organizational support for developing and maintaining the system as well as the system product itself. This type of instrument contains items concerned with training, documentation, development procedures, systems maintenance, etc., as well as items related to system content. Thus it provides an indicator of the overall quality of information services provided by an information service function. Generally, UIS measures have not been carefully validated. Recently, however, several rigorous attempts have been made to develop valid and reliable UIS measure.