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Related Experiment Videos

Information retrieval using a "digital book shelf".

M E Frisse1, S B Cousins, S W Hassan

  • 1Department of Internal Medicine, St. Louis, Missouri 63110.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1991
PubMed
Summary
This summary is machine-generated.

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Washington University's Approach to Lots of Text (WALT) is a prototype interface for information retrieval research. It uses unique "book shelf" and "book spine" metaphors to aid navigation and display relevant documents.

Area of Science:

  • Information Science
  • Human-Computer Interaction
  • Computer Science

Background:

  • Information retrieval systems require effective user interfaces.
  • Existing interfaces may not adequately support navigation and relevance assessment.
  • Metaphorical interfaces can enhance user experience and task performance.

Purpose of the Study:

  • To introduce WALT (Washington University's Approach to Lots of Text), a novel prototype interface.
  • To support information retrieval research by integrating diverse retrieval engines.
  • To explore the utility of metaphorical design for information navigation and relevance display.

Main Methods:

  • Development of a prototype interface named WALT.
  • Integration of multiple information retrieval techniques (Boolean, LSI, TF-IDF, Bayesian).

Related Experiment Videos

  • Implementation of seven distinct interface components, including metaphorical navigation elements (Book Shelf, Book Spine).

    • Main Results:

    • WALT serves as a unified front-end for various retrieval engines.
    • The interface incorporates a Document Browsing Area, navigation tools, a Control Panel, and a Reader Feedback Panel.
    • Unique "book shelf" and "book spine" metaphors facilitate navigation and provide histogram-based relevance displays.

    Conclusions:

    • WALT offers a unique approach to information retrieval interface design.
    • The metaphorical elements in WALT show promise for improving navigation and relevance assessment.
    • The prototype supports information retrieval research by providing a flexible and intuitive platform.