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New Technology of Library and Information Service  2012, Vol. Issue (9): 62-68    DOI: 10.11925/infotech.1003-3513.2012.09.11
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A Study on Users’ Collaborative Information Seeking Behavior and System Evaluation——A Perspective of Tasks and Collaborative Abilities
Qiu Jin, Wu Dan
School of Information Management, Wuhan University, Wuhan 430072, China
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Abstract  Several data collection methods such as log analysis, semi-structured interview, questionnaires and data analysis methods such as mathematical statistics, content analysis are adopted in an experiment and its result analysis of users’ collaborative information search on the Coagmento system. The results show that tasks and collaborative abilities do have impacts on users’ collaborative information seeking behaviors. Collaborative abilities have influence on the behavior of “Recommend”, while tasks have influence on the behaviors of “Webpage”, “Search”, and “Image”. The participants with higher collaborative abilities get better retrieval effectiveness than those with lower collaborative abilities in the experiment. Therefore, collaborative information retrieval system is more suitable for users with strong collaborative abilities to collaborate on complex tasks.
Key wordsCollaborative information search      User behavior      System evaluation      Collaborative ability      Task     
Received: 18 July 2012      Published: 25 December 2012
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Cite this article:

Qiu Jin, Wu Dan. A Study on Users’ Collaborative Information Seeking Behavior and System Evaluation——A Perspective of Tasks and Collaborative Abilities. New Technology of Library and Information Service, 2012, (9): 62-68.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.09.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V/I9/62

[1] Kim S, Soergel D. Selecting and Measuring Task Characteristics as Independent Variables[C]. In:Proceedings of the 68th Annual Meeting of the American Society for Information Science and Technology.2005.
[2] Bilal D. Children’s Use of the Yahooligans! Web Search Engine:II. Cognitive and Physical Behaviors on Research Tasks [J]. Journal of the American Society for Information Science and Technology, 2001, 52(2):118-136.
[3] Amershi S, Morris M R. CoSearch:A System for Co-located Collaborative Web Search [C].In:Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems(CHI’08),Florence. New York:ACM, 2008:1647-1656.
[4] Hildegard J. Beyond the Search Process-Exploring Group Members’ Information [J]. Information Processing & Management,2009,45(1):142-158.
[5] Romano N C, Roussnov D, Nunamaker J F, et al. Collaborative Information Retrieval Environment:Integration of Information Retrieval with Group Support Systems[C]. In:Proceedings of the 32nd Annual Hawaii International Conference on System Sciences(HICSS’09). Washington DC:IEEE Computer Society, 1999.
[6] Hertzum M. Collaborative Information Seeking:The Combined Activity of Information Seeking and Collaborative Grounding[J]. Information Processing & Management, 2008, 44(2):957-962.
[7] Spring M B, Vathanophas V. Peripheral Social Awareness Information in Collaborative Work[J]. Journal of the American Society for Information Science and Technology, 2003, 54(11):1006-1013.
[8] Veryard R. The Component-based Business:Plug and Play [M]. London:Springer,2001.
[9] Blomqvist K, Levy J. Collaboration Capability-A Focal Concept in Collaborative Knowledge Creation and Innovation in Networks [J]. International Journal of Management Concepts and Philosophy, 2006, 2(1):31-48.
[10] Ingwersen P. Information Retrieval Interaction [M]. London:Taylor Graham, 1992:246.
[11] Broder A. A Taxonomy of Web Search [J]. ACM SIGIR Forum, 2002, 36(2):3-10.
[12] Faraway J J. Practical Regression and Anova Using R[M/OL].2002:179-184.[2012-03-11].http://www.maths.bath.ac.uk/~jjf23/book/.
[13] Strauss A, Corbin J M. Basics of Qualitative Research–Techniques and Procedures for Developing Grounded Theory [M]. The 2nd Edition. London:Sage Publications, 1998.
[14] McGrath J E. Groups:Interaction and Performance [M]. New Jersey:Prentice-Hall, 1984.
[15] Hackman J R. Work Redesign and Motivation[J]. Professional Psychology:Research and Practice, 1980, 11(3):445-455.
[16] Foschi M. Gender, Performance Level, and Competence Standards in Task Groups [J].Social Science Research, 2009, 38(2):447-457.
[17] Kriksciuniene D, Strigunaite S. Virtual Team Tasks Performance Evaluation Based on Multi-level Fuzzy Comprehensive Method[C]. In:Proceedings of the 3rd International Conference on Future Computational Technologies and Applications.2011:20-25.
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