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How to Build Modeling Agents to Support Web Searchers

  • Paul P. Maglio
  • Rob Barrett
Part of the International Centre for Mechanical Sciences book series (CISM, volume 383)

Abstract

In this paper, we sketch a model of what people do when they search for information on the web. From a theoretical perspective, our interest lies in the cognitive processes and internal representations that are both used in and affected by the search for information. From a practical perspective, our aim is to provide personal support for information-searching and to effectively transfer knowledge gained by one person to another. Toward these ends, we first collected behavioral data from people searching for information on the web; we next analyzed these data to learn what the searchers were doing and thinking; and we then constructed specific web agents to support searching behaviors we identified.

Keywords

Query Term Standard Pattern Verbal Recall Standard Routine Federal Election Commission 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 1997

Authors and Affiliations

  • Paul P. Maglio
    • 1
  • Rob Barrett
    • 1
  1. 1.IBM Almaden Research CenterSan JoseUSA

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