An exploratory study of incorporating task-stage identification into a long-term document support process

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With the increasing amount of information (and knowledge) in organizational memories and the phenomenal growth of the World Wide Web, knowledge workers are increasingly suffering from information overload. Because of the growing complexity of knowledge-intensive tasks, a profiling technique is needed to deliver task-relevant documents to workers. In this study, we propose a task-stage identification technique that provides effective document support throughout the execution of a task. A pattern similarity analysis method based on the correlation value is used to identify a worker's task-stage. The results are incorporated into a profile adaptation process to generate the worker's current task profile. We conducted a pilot study in a research institute. The results confirm the effectiveness of the proposed document support process in a knowledge-intensive working environment.

    Original languageEnglish
    Title of host publicationProceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops Proceedings)
    PublisherIEEE Computer Society
    Pages277-280
    Number of pages4
    ISBN (Print)0769527493, 9780769527499
    DOIs
    Publication statusPublished - 2006 Jan 1
    Event2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Hong Kong, China
    Duration: 2006 Dec 182006 Dec 22

    Publication series

    NameProceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops Proceedings)

    Conference

    Conference2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
    CountryChina
    CityHong Kong
    Period2006/12/182006/12/22

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Software

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