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Understanding the Impact of the Role Factor in Collaborative Information Retrieval

Published: 17 October 2015 Publication History

Abstract

Collaborative information retrieval systems often rely on division of labor policies. Such policies allow work to be divided among collaborators with the aim of preventing redundancy and optimizing the synergic effects of collaboration. Most of the underlying methods achieve these goals by the means of explicit vs. implicit role-based mediation. In this paper, we investigate whether and how different factors, such as users' behavior, search strategies, and effectiveness, are related to role assignment within a collaborative exploratory search. Our main findings suggest that: (1) spontaneous and cohesive implicit roles might emerge during the collaborative search session implying users with no prior roles, and that these implicit roles favor the search precision, (2) role drift might occur alongside the search session performed by users with prior-assigned roles.

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  • (2019)On the impact of group size on collaborative search effectivenessInformation Retrieval Journal10.1007/s10791-018-09350-9Online publication date: 9-Jan-2019
  • (2019)“Active followers”: An emerging role of information behaviour among group holiday makersProceedings of the Association for Information Science and Technology10.1002/pra2.19456:1(829-831)Online publication date: 18-Oct-2019
  • (2018)Beyond traditional collaborative searchInformation Processing and Management: an International Journal10.1016/j.ipm.2017.09.00354:1(60-87)Online publication date: 1-Jan-2018
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    cover image ACM Conferences
    CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
    October 2015
    1998 pages
    ISBN:9781450337946
    DOI:10.1145/2806416
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 17 October 2015

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    Author Tags

    1. collaborative information retrieval
    2. user behavior analysis
    3. user study

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    Cited By

    View all
    • (2019)On the impact of group size on collaborative search effectivenessInformation Retrieval Journal10.1007/s10791-018-09350-9Online publication date: 9-Jan-2019
    • (2019)“Active followers”: An emerging role of information behaviour among group holiday makersProceedings of the Association for Information Science and Technology10.1002/pra2.19456:1(829-831)Online publication date: 18-Oct-2019
    • (2018)Beyond traditional collaborative searchInformation Processing and Management: an International Journal10.1016/j.ipm.2017.09.00354:1(60-87)Online publication date: 1-Jan-2018
    • (2017)On the Collaboration Support in Information RetrievalACM Computing Surveys10.1145/309269650:4(1-34)Online publication date: 25-Aug-2017
    • (2017)An Interface for Supporting Asynchronous Multi-Level Collaborative Information RetrievalProceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval10.1145/3020165.3020172(225-234)Online publication date: 7-Mar-2017
    • (2017)How Can We Better Support Users with Non-Uniform Information Access in Collaborative Information Retrieval?Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval10.1145/3020165.3020171(235-244)Online publication date: 7-Mar-2017
    • (2016)Collaborative Information RetrievalProceedings of the 2016 ACM International Conference on the Theory of Information Retrieval10.1145/2970398.2970442(7-8)Online publication date: 12-Sep-2016
    • (2016)Collaborative Information Retrieval: Concepts, Models and EvaluationAdvances in Information Retrieval10.1007/978-3-319-30671-1_86(885-888)Online publication date: 2016

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