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

I. Chin Wu*, Pei Cheng Chang

*Corresponding author for this work

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
Externally publishedYes
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
Country/TerritoryChina
CityHong Kong
Period2006/12/182006/12/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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