• 제목/요약/키워드: Collaborative Information Behavior

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간호학과 학생들의 협동적 정보행태에 대한 만족도와 정서적 경험에 관한 연구 (Undergraduate Nursing Students' User Satisfaction and Affective Experiences of Collaborative Information Behavior)

  • 이지수;나경식
    • 한국문헌정보학회지
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    • 제48권3호
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    • pp.193-215
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    • 2014
  • 본 연구는 간호학과 학생들의 그룹과제 시 협동적 정보행태에서 나타나는 만족도 및 정서적 경험 등을 설문조사하여 이들의 관계에 대해 종합적으로 분석해 보고자 하였다. 이를 위해 본 연구는 이용자들의 협동적 정보검색에서 나타나는 긍정적 또는 부정적 정서에 대한 평가는 동일 설문지에서 PANAS 척도를 이용하여 정서적 경험을 측정하였다. 학생들의 협동적 정보검색에 대한 경험은 정서적 측면과 상관관계를 살펴보고, 일반적 특성, 협동적 정보검색에 대한 경험, 정서적 측면과의 통계적 우의성은 t-test로 분석하였다. 연구결과, 간호학과 학생들의 협동적 정보검색과 정서적 경험은 상관관계가 있었으며, 또한 학생들의 일반적 특성, 협동적 정보검색과 정서적 경험은 통계적으로 유의미한 관계가 있는 것으로 나타났다. 특히 학생들의 성별과 '전반적 협동에 대한 만족도', 학생들의 성별과 긍정적 정서에서 유의미한 상관관계를 나타내었다. 본 연구를 통해서 협동적 정보행태에서 정서적 경험에 대한 후속 연구에 가능성을 발견하였다.

온라인 학습환경에서 학습참여동기와 협력적 자기효능감이 지식공유행동에 미치는 영향 (The Effects of Learning Participation Motivation and Self-Efficacy for Group Work on Knowledge Sharing Behavior in Online Learning Environment)

  • 박혜진;차승봉
    • 디지털산업정보학회논문지
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    • 제19권3호
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    • pp.105-115
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    • 2023
  • This study analyzed the effects of learning participation motivation and collaborative self-efficacy on knowledge sharing behavior in an online learning environment. Collaborative learning in the online learning environment took the initiative in team formation, learning topic selection, learning planning and execution, and reflection. Collaborative learning was operated as an extracurricular program, and a survey was conducted targeting students who finally completed all learning activities. The results of the study are as follows. First, goal-oriented motivation and self-Efficacy for group work, showed significant influence on knowledge sharing behavior. Second, activity-oriented motivation did not show a statistically significant effect relationship. Interpreting the analysis results, it can be judged that the higher the goal-oriented motivation and self-Efficacy for group work of students who performed collaborative learning in an online learning environment, the higher the willingness to share knowledge, skills, and information they know. This study explored the outcomes of collaborative learning conducted in an online learning environment. It is meaningful that the learner's learning participation motivation was identified and the effect of self-Efficacy for group work, which can be expressed in collaborative learning situations, on knowledge sharing behavior, which is a necessary behavior for group performance, is significant.

그룹 연구 과제에서의 협동적 정보행태 연구 - 온라인 토론 게시판의 내용 분석을 중심으로 - (Exploring Collaborative Information Behavior in the Group-Based Research Project: Content Analysis of Online Discussion Forum)

  • 이지수
    • 한국문헌정보학회지
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    • 제47권3호
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    • pp.97-117
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    • 2013
  • 본 연구는 그룹 연구 과제를 수행하는 과정에서 게시된 온라인 토론 게시물을 분석하여, 그룹원들의 협동적 정보행태를 밝히는 데 목적이 있다. 본 연구에서는 Kuhlthau의 ISP 모형과 Yue와 He의 CIB 모형을 기반으로 대학원생들의 그룹 연구 과제 수행에서 나타나는 협동적 정보행태와 정서적 측면, 필요로 하는 협동 및 지원유형의 관계를 연구하였다. 본 연구의 결과는 그룹 연구 과제에서의 협동적 정보행태에 대한 이해에 도움을 주며, 협동적 정보 이용자를 위한 정보활용능력 교육에 활용할 수 있을 것으로 기대된다.

A Robust Bayesian Probabilistic Matrix Factorization Model for Collaborative Filtering Recommender Systems Based on User Anomaly Rating Behavior Detection

  • Yu, Hongtao;Sun, Lijun;Zhang, Fuzhi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권9호
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    • pp.4684-4705
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    • 2019
  • Collaborative filtering recommender systems are vulnerable to shilling attacks in which malicious users may inject biased profiles to promote or demote a particular item being recommended. To tackle this problem, many robust collaborative recommendation methods have been presented. Unfortunately, the robustness of most methods is improved at the expense of prediction accuracy. In this paper, we construct a robust Bayesian probabilistic matrix factorization model for collaborative filtering recommender systems by incorporating the detection of user anomaly rating behaviors. We first detect the anomaly rating behaviors of users by the modified K-means algorithm and target item identification method to generate an indicator matrix of attack users. Then we incorporate the indicator matrix of attack users to construct a robust Bayesian probabilistic matrix factorization model and based on which a robust collaborative recommendation algorithm is devised. The experimental results on the MovieLens and Netflix datasets show that our model can significantly improve the robustness and recommendation accuracy compared with three baseline methods.

정보행태 연구 분야에서 협동적 정보행태 모형의 비교·분석 연구 (A Comparative Analysis of Collaborative Information Behavior Models in Information Behavior Research)

  • 이지수
    • 정보관리학회지
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    • 제30권3호
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    • pp.183-205
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    • 2013
  • 협동적 정보행태에 대한 연구의 중요성이 대두됨에 따라, 다양한 문제 상황에서 협동적 정보행태에 대한 많은 수의 연구가 수행되어 왔고, 그를 바탕으로 여러 모형이 제안되고 있다. 본 연구에서는 Prekop(2002), Reddy와 Jansen(2008), Shah(2008), Karunakaran, Spence와 Reddy(2010), Yue와 He(2010) 등이 제안한 5개의 협동적 정보행태 모형들을 비교 분석하고, 그 결과를 토대로 향후 협동적 정보행태 연구의 지향점을 논의하였다. 협동적 정보행태에 대한 기존 연구의 한계를 극복하고 후속 연구를 위한 전략은 다음과 같다. 첫째, 다양한 이용자 그룹 및 문제 상황에 따른 협동적 정보행태의 연구가 요구되며, 둘째, 협동적 정보행태에서 나타나는 다양하고 복잡한 측면을 다루는 총체적인 연구의 접근이 필요하고, 셋째, 제안된 협동적 정보행태 모형에 대한 논의와 일반화의 검증이 필요하다. 특히, 국내외 환경을 반영한 경험적 연구를 바탕으로 제안된 모형이 수정 보완되어야 할 것이다.

Dynamic Fuzzy Cluster based Collaborative Filtering

  • Min, Sung-Hwan;Han, Ingoo
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2004년도 추계학술대회
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    • pp.203-210
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    • 2004
  • Due to the explosion of e-commerce, recommender systems are rapidly becoming a core tool to accelerate cross-selling and strengthen customer loyalty. There are two prevalent approaches for building recommender systems - content-based recommending and collaborative filtering. Collaborative filtering recommender systems have been very successful in both information filtering domains and e-commerce domains, and many researchers have presented variations of collaborative filtering to increase its performance. However, the current research on recommendation has paid little attention to the use of time related data in the recommendation process. Up to now there has not been any study on collaborative filtering to reflect changes in user interest. This paper proposes dynamic fuzzy clustering algorithm and apply it to collaborative filtering algorithm for dynamic recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes. The results of the evaluation experiment show the proposed model's improvement in making recommendations.

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중고등학생의 학업 수행을 위한 협업정보행동 연구 - 수도권을 중심으로 - (A Study on Collaborative Information Behavior for High School Students' Academic Performance: Focused on the Metropolitan Area)

  • 강지혜
    • 한국도서관정보학회지
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    • 제50권4호
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    • pp.405-428
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    • 2019
  • 본 연구는 중고등학생들이 학업을 수행하면서 경험하게 되는 정보와의 상호작용이나 그 양상을 설명하는 정보행동을 파악하였다. 또한 청소년들이 친구들과 함께 협업하는 경우, 정보의 수집, 이용, 공유, 생성하는 행위, 또 그 행위에 영향을 미치는 그들의 사회/문화적인 요소 등 전반적인 내용을 탐구하였다. 연구질문은 '급진적 변화 이론(Radical Change Theory)'을 참고로 구성되었으며, '디지털 시대 청소년의 정보 행동과 디지털 시대의 급진적인 변화 유형'을 증명하는 것으로 구성되었다. 연구결과 중고등학생들의 협업정보행동 실태는 우리 교육현실이 여실히 반영되었으나, 학생들은 다양한 정보원에 접근하여 활용하고, 의견 공유 방식을 다양화하고, 성인과는 다른 채널을 발굴하여 정보 행위에 활용하고 있었다. 기대만큼은 아니지만 협업의 경험이 개인의 성장에 도움이 되었다는 의견을 제시하였다.

An Approach to Credibility Enhancement of Automated Collaborative Filtering System through Accommodating User's Rating Behavior

  • Sung, Jang-Hwan;Park, Jong-Hun
    • 한국경영정보학회:학술대회논문집
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    • 한국경영정보학회 2007년도 International Conference
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    • pp.576-581
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    • 2007
  • The purpose of this paper is to strengthen trust on the automated collaborative filtering system. Automated collaborative filtering system is quickly becoming a popular technique for recommendation system. This elaborative methodology contributes for reducing information overload and the result becomes index of users' preference. In addition, it can be applied to various industries in various fields. After it collaborative filtering system was developed, many researches are executed to enhance credibility and to apply in various fields. Among these diverse systems, collaborative filtering system which uses Pearson correlation coefficient is most common in many researches. In this paper, we proposed new process diagram of collaborative filtering algorithm and new factors which should improve the credibility of system. In addition, the effects and relationships are also tested.

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커뮤니케이션매체 특성과 교수행위 특성이 협력적 상호작용과 프로젝트 성과에 미치는 영향 (The Impact of Characteristics of Communication Media and Instruction Behavior on Collaborative Interaction and Project Performance)

  • 고윤정;정경수;고일상
    • Asia pacific journal of information systems
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    • 제18권4호
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    • pp.83-103
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    • 2008
  • In the new web based learning environment which has recently emerged, a variety of new learning objectives and teaching methods suited to this learning environment have been adopted. Recently, web based project-based learning methods have received a great deal of attention from those wishing to improve learning performance. The objective of this study is to identify the impact of characteristics of communication media and instruction behavior on collaborative interaction and project performance through web based group projects. The characteristics of communication media were divided into richness, flexibility, and ease of use, and the characteristics of instruction behavior were divided into support and expression, which are independent variables. Collaborative interaction as a mediate variable, was divided into information sharing and negotiation. Project performance was the dependent variable. To verify the proposed research model empirically, an experiment was conducted in which learners participated in on-line and off-line courses with group projects. The group project was conducted virtual product development(VPD), and designed a web-site about the VPD. At the end of the project, a survey was conducted. Of the 270 students, 239 responded. The students were assigned to groups of 3 or 4 members, and represented different genders and levels of computer competence. The reliability, validity, and correlation of research variables were analyzed using SPSS 14.0, and the measurement model and the structural goodness-of-fit of the research model were verified through SEM analysis using Lisrel 8.54. We found important results as follows; First, richness and ease of use has positive impacts on each of sharing information and negotiation. This suggests that richness and ease of use are useful in sharing information which is related to the task and agreeing in opinions among group members. However, flexibility has not positive impacts on sharing information and negotiation. This implies that there is no great difference in performance of PC and information literacy of user. Second, support and expression of instructor have positive impacts on sharing information and negotiation. This indicates that instructors play an important role in encouraging learners to participate in the project and communicating with them, sharing information related to the project, making a resonable decision and finally leading them to improve a project performance. Third, collaborative interaction has a positive impact on project performance. This result shows that if the ability to share information and negotiate among students was improved then a project performance would be improved as well. Recently, in the state of revitalized web based learning, it is opportune that web-based group project is practically conducted, and the impact of characteristics of communication media and characteristics of instruction behavior on sharing information, negotiating among group members and improving a project performance is verified. On the basis of these results, we propose that forms of learning, such as web based project, could be one of solution which is to enforce interaction among learners, and ultimately improve learning performance. Moreover web-based group project is able to make up for a weakness which makes it difficult to make interpersonal relations or friendship among learners in computer mediated communication or web based learning.

Characterizing Collaboration in Social Network-enabled Routing

  • Mohaisen, Manar;Mohaisen, Aziz
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권4호
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    • pp.1643-1660
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    • 2016
  • Connectivity and trust in social networks have been exploited to propose applications on top of these networks, including routing, Sybil defenses, and anonymous communication systems. In these networks, and for such applications, connectivity ensures good performance of applications while trust is assumed to always hold, so as collaboration and good behavior are always guaranteed. In this paper, we study the impact of differential behavior of users on performance in typical social network-enabled routing applications. We classify users into either collaborative or rational (probabilistically collaborative) and study the impact of this classification and the associated behavior of users on the performance of such applications, including random walk-based routing, shortest path based routing, breadth-first-search based routing, and Dijkstra routing. By experimenting with real-world social network traces, we make several interesting observations. First, we show that some of the existing social graphs have high routing costs, demonstrating poor structure that prevents their use in such applications. Second, we study the factors that make probabilistically collaborative nodes important for the performance of the routing protocol within the entire network and demonstrate that the importance of these nodes stems from their topological features rather than their percentage of all the nodes within the network.