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A new method for matching a document to potential users' information needs.

Yuri Kagolovsky1, Stefan Pantazi, Jochen R Moehr

  • 1School of Health Information Science, University of Victoria, Victoria, BC, V8W 3P5, Canada.

Studies in Health Technology and Informatics
|October 6, 2004
PubMed
Summary
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This study introduces a cognitive science approach to capture document information needs for better indexing. The "jeopardy game" and "think aloud" methods help match documents to user needs.

Area of Science:

  • Information Science
  • Cognitive Science
  • Human-Computer Interaction

Background:

  • Effective document indexing is crucial for information retrieval.
  • Current indexing strategies may not fully capture user information needs.
  • Understanding how documents address user needs can improve search system performance.

Purpose of the Study:

  • To explore methods for capturing the information needs addressed by documents.
  • To enhance indexing strategies for document collections.
  • To evaluate a novel cognitive science-based approach for needs assessment.

Main Methods:

  • Utilized a cognitive science approach combining the 'jeopardy game' evaluation method.
  • Employed 'think aloud' analysis to understand user cognitive processes.

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  • Conducted a demonstration study to test the proposed methods.

    • Main Results:

    • The study successfully demonstrated the feasibility of the proposed approach.
    • Identified specific information needs that documents can address.
    • Gathered insights into user interaction with document information.

    Conclusions:

    • The 'jeopardy game' and 'think aloud' methods offer a viable way to capture document-addressed information needs.
    • This approach can inform improvements in indexing and document collection management.
    • Further refinements could enhance the accuracy of matching documents to user information requirements.