Please wait a minute...
New Technology of Library and Information Service  2014, Vol. 30 Issue (12): 1-9    DOI: 10.11925/infotech.1003-3513.2014.12.01
Current Issue | Archive | Adv Search |
An Experimental Study on Collaborative Information Seeking Behavior in Community Environment
Wu Dan, Xiang Xue
School of Information Management, Wuhan University, Wuhan 430072, China
Export: BibTeX | EndNote (RIS)      

[Objective] This paper aims to explore how the community type and task difficulty influence the collaborative information seeking behavior. [Methods] Data collection methods include questionnaires, Web log analysis and semi-structured interview. Data analysis methods include statistical analysis and content analysis. [Results] In terms of the community type, compared with non-community, the community has more behaviors of Recommend, it does not depend on the retrieval system when inputting queries, its collaborative approaches are more diverse, it has advantages on the awareness of task knowledge. However, the profession community has no obvious differences with the interest community on any aspect. In terms of the task difficulty, it only influences the methods of issuing queries and confidence of completing the tasks. [Limitations] This paper researches on the real community. It should investigate virtual community and more types of communities in the future. [Conclusions] The community type and task difficulty have different degrees of influence on the different aspects of collaborative information seeking behavior. The factor of community has more influences than the factor of task. And the differences between the community and non-community are obvious, however, the differences between the profession community and the interest community are not significant.

Key wordsCollaborative information search      Information seeking behavior      Community     
Received: 20 June 2014      Published: 20 January 2015
:  G354  

Cite this article:

Wu Dan, Xiang Xue. An Experimental Study on Collaborative Information Seeking Behavior in Community Environment. New Technology of Library and Information Service, 2014, 30(12): 1-9.

URL:     OR

[1] Morris M R. Collaborating Alone and Together: Investigating Persistent and Multi-User Web Search Activities [C]. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2007). Amsterdam, Netherland: ACM, 2007: 23-27.
[2] Hansen P, Järvelin K. Collaborative Information Retrieval in an Information-intensive Domain [J]. Information Processing and Management, 2005, 41(1): 1101-1119.
[3] Huang C H, Tsai P Y. Applying Evolution Computation Model to the Development and Transition of Virtual Community Under Web 2.0[A].// Mehnen J, Köppen M, Saad A, et al. Application of Soft Computing [M]. Berlin, Heidelberg: Springer-Verlag, 2009: 171-180.
[4] Surowiecki J. The Wisdom of Crowds: Why the Many are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations [M]. Knopf Doubleday Publishing Group, 2004.
[5] Farooq U, Ganoe C H, Carroll J M, et al. Design and Evaluation of Awareness Mechanisms in CiteSeer [J]. Information Processing and Management, 2008, 44(2): 596-612.
[6] Sonnenwald D H, Maglaughlin K L, Whitton M C. Designing to Support Situation Awareness Across Distances: An Example from a Scientific Collaboratory [J]. Information Processing and Management, 2004, 40(6): 989-1011.
[7] Spence P R, Reddy M C, Hall R. A Survey of Collaborative Information Seeking Practices of Academic Researchers [C]. In: Proceedings of the 2005 International ACM SIGGROUP Conference on Supporting Group Work. ACM, 2005: 85-88.
[8] O'Farrell M, Bates J. Student Information Behaviors During Group Projects: A Study of LIS Students in University College Dublin, Ireland [J]. Aslib Proceedings, 2009, 61(3): 302-315.
[9] Su C, Contractor N. A Multidimensional Network Approach to Studying Team Members' Information Seeking from Human and Digital Knowledge Sources in Consulting Firms [J]. Journal of American Society for Information Science and Technology, 2011, 62(7): 1257-1275.
[10] Attfield S, Blandford A, Makri S. Social and Interactional Practices for Disseminating Current Awareness Information in An Organisational Setting [J]. Information Processing and Management, 2010, 46(6): 632-645.
[11] Poltrock S, Grudin J, Dumais S, et al. Information Seeking and Sharing in Design Teams [C]. In: Proceedings of the 2003 International ACM SIGGROUP Conference on Supporting Group Work. ACM, 2003: 239-247.
[12] Blake C, Pratt W. Collaborative Information Synthesis I: A Model of Information Behaviors of Scientists in Medicine and Public Health [J]. Journal of the American Society for Information Science and Technology, 2006, 57(13): 1740-1749.
[13] Hansen P, Järvelin K. Collaborative Information Searching in an Information Intensive Work Domain: Preliminary Results [J]. Journal of Digital Information Management, 2004, 2(1): 26-29.
[14] Fidel R, Pejterden A M, Cleal B, et al. A Multidimensional Approach to the Study of Human-Information Interaction: A Case Study of Collaborative Information Retrieval [J]. Journal of the American Society for Information Science and Technology, 2004, 55(11): 939-953.
[15] Reddy M C, Dourish P. A Finger on the Pulse: Temporal Rhythms and Information Seeking in Medical Work[C]. In: Proceedings of the 2002 ACM Conference on Computer Supported Cooperative Work. ACM, 2002: 344-353.
[16] Reddy M C, Jansen B J. A Model for Understanding Collaborative Information Behavior in Context: A Study of Two Healthcare Teams [J]. Information Processing and Management, 2008, 44(1): 256-273.
[17] Hertzum M. Breakdowns in Collaborative Information Seeking: A Study of the Medication Process [J]. Information Processing and Management, 2010, 46(6): 646-655.
[18] Sonnenwald D H, Pierce L G. Information Behavior in Dynamic Group Work Contexts: Interwoven Situational Awareness, Dense Social Networks and Contested Collaboration in Command and Control [J]. Information Processing and Management, 2000, 36(3): 461-479.
[19] Prekop P. A Qualitative Study of Collaborative Information Seeking [J]. Journal of Documentation, 2002, 58(5): 533-547.
[20] Palmguist R A, Kim K S. Cognitive Style and On-Line Databases Search Experience as Predictors of Web Search Performance [J]. Journal of the American Society for Information Science and Technology, 2000, 5l(6): 558-566.
[21] Shah C. Effects of Awareness on Coordination in Collaborative Information Seeking [J]. Journal of the American Society for Information Science and Technology, 2013, 64(6): 1122-1143.
[22] Evans B M, Kairam S, Pirolli P. Do Your Friends Make You Smarter?: An Analysis of Social Strategies in Online Information Seeking [J]. Information Processing and Management, 2010, 46(6): 679-692.
[23] Dinet J, Vivian R. The Impact of Friendship on Synchronous Collaborative Retrieval Tasks in the Primary School [J]. British Journal of Educational Technology, 2012, 43(3): 439-447.
[24] Yue Z, Han S, He D. An Investigation of Search Processes in Collaborative Exploratory Web Search [J]. Proceedings of the American Society for Information Science and Technology, 2012, 49(1): 1-4.
[25] González-Ibáñez R, Haseki M, Shah C. Let's Search Together, But not Too Close! An Analysis of Communication and Performance in Collaborative Information Seeking [J]. Information Processing and Management, 2013, 49(5): 1165-1179.
[26] Shah C, González-Ibáñez R. Spatial Context in Collaborative Information Seeking [J]. Journal of Information Science, 2012. DOI: 10.1177/0165551512438356.
[27] Large A, Beheshti J, Rahman T. Gender Differences in Collaborative Web Searching Behavior: An Elementary School Study [J]. Information Processing and Management, 2002, 38(3): 427-443.
[28] 吴丹, 邱瑾. 协同信息检索行为中的认知研究[J]. 情报学报, 2013, 32(2):125-137. (Wu Dan, Qiu Jin. A Study of Awareness in Collaborative Information Seeking Behaviors [J]. Journal of the China Society for Scientific and Technical Information, 2013, 32(2): 125-137.)
[29] 邱瑾, 吴丹. 用户协同信息检索行为与系统评价研究——以任务类型和协同能力为视角[J]. 现代图书情报技术, 2012(9): 62-68. (Qiu Jin, Wu Dan. A Study on Users' Collaborative Information Seeking Behavior and System Evaluation —— A Perspective of Tasks and Collaborative Abilities [J]. New Technology of Library and Information Service, 2012(9): 62-68.)
[30] 邱瑾, 吴丹. 协同信息检索行为中的情感研究[J]. 图书与情报, 2013(2): 105-110. (Qiu Jin, Wu Dan. A Study of Sentiments in Collaborative Information Search Behaviors [J]. Library and Information, 2013(2): 105-110.)
[31] 张薇薇. 社群环境下用户协同信息行为研究述评[J]. 中国图书馆学报, 2010, 36(4): 90-100. (Zhang Weiwei. Commentary on Collaborative Information Behavioral Research in the Context of Communities [J]. Journal of Library Science in China, 2010, 36(4): 90-100.)
[32] González-Ibáñez R, Shah C. Coagmento: A System for Supporting Collaborative Information Seeking [J]. Proceedings of the American Society for Information Science and Technology, 2011, 48(1): 1-4.
[33] Broder A. A Taxonomy of Web Search [J]. ACM SIGIR Forum, 2002, 36(2): 3-10.
[34] Morris M R, Teevan J. Collaborative Web Search: Who, What, Where, When, and Why [M]. Morgan & Claypool Publishers, 2010.
[35] Stoker D, Cooke A. Evaluation of Networked Information Sources [EB/OL]. [2014-04-01]. texts/eval.htm.
[36] Fritch J W, Cromwell R L. Evaluating Internet Resources: Identity, Affiliation, and Cognitive Authority in a Networked World [J]. Journal of the American Society for Information Science and Technology, 2001, 52(6): 499-507.
[37] Harris R. Evaluating Internet Research Sources [EB/OL]. [2014-04-01]. 01903597/Centricity/Domain/157/Evaluating%20Internet%20Research%20Sources.pdf.

[1] Shan Xiaohong,Wang Chunwen,Liu Xiaoyan,Han Shengxi,Yang Juan. Identifying Lead Users in Open Innovation Community from Knowledge-based Perspectives[J]. 数据分析与知识发现, 2021, 5(9): 85-96.
[2] Chen Wenjie,Wen Yi,Yang Ning. Fuzzy Overlapping Community Detection Algorithm Based on Node Vector Representation[J]. 数据分析与知识发现, 2021, 5(5): 41-50.
[3] Li Ming, Li Ying, Zhou Qing, Wang Jun. Analyzing Knowledge Demand and Supply of Community Question Answering with TF-PIDF[J]. 数据分析与知识发现, 2021, 5(2): 106-115.
[4] Shen Wang, Li Shiyu, Liu Jiayu, Li He. Optimizing Quality Evaluation for Answers of Q&A Community[J]. 数据分析与知识发现, 2021, 5(2): 83-93.
[5] Wang Song, Yang Yang, Liu Xinmin. Discovering Potentialities of User Ideas from Open Innovation Communities with Graph Attention Network[J]. 数据分析与知识发现, 2021, 5(11): 89-101.
[6] Cai Yongming,Liu Lu,Wang Kewei. Identifying Key Users and Topics from Online Learning Community[J]. 数据分析与知识发现, 2020, 4(6): 69-79.
[7] Tao Xing,Zhang Xiangxian,Guo Shunli,Zhang Liman. Automatic Summarization of User-Generated Content in Academic Q&A Community Based on Word2Vec and MMR[J]. 数据分析与知识发现, 2020, 4(4): 109-118.
[8] Li He,Liu Jiayu,Shen Wang,Liu Rui,Jin Shuaiqi. Recommending Knowledge for Online Health Community Users Based on Fuzzy Cognitive Map[J]. 数据分析与知识发现, 2020, 4(12): 55-67.
[9] Ding Heng,Li Yingxuan. Improving Online Q&A Service with Deep Learning[J]. 数据分析与知识发现, 2020, 4(10): 37-46.
[10] Liqing Qiu,Wei Jia,Xin Fan. Influence Maximization Algorithm Based on Overlapping Community[J]. 数据分析与知识发现, 2019, 3(7): 94-102.
[11] Ming Yi,Tingting Zhang. Ranking Answer Quality of Popular Q&A Community[J]. 数据分析与知识发现, 2019, 3(6): 12-20.
[12] Xiaolan Wu,Chengzhi Zhang. Analysis of Knowledge Flow Based on Academic Social Networks:
A Case Study of
[J]. 数据分析与知识发现, 2019, 3(4): 107-116.
[13] Quan Lu,Anqi Zhu,Jiyue Zhang,Jing Chen. Research on User Information Requirement in Chinese Network Health Community: Taking Tumor-forum Data of Qiuyi as an Example[J]. 数据分析与知识发现, 2019, 3(4): 22-32.
[14] Xiwei Wang,Duo Wang,Qingxiao Zheng,Ya’nan Wei. Information Interaction Between User and Enterprise in Online Brand Community: A Study of Virtual Reality Industry[J]. 数据分析与知识发现, 2019, 3(3): 83-94.
[15] Pingnan Ruan,Qianying Wang,Juan Yang,Yunfeng Wei. Investing Behaviors of Core Communities in Venture Capital Network[J]. 数据分析与知识发现, 2019, 3(12): 84-92.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938