System and user attributes associated with successful searching

William Hersh, Susan Price, Benjamin Chan, Dale Kraemer, Lynetta Sacherek, Daniel Olson

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

A study was performed to assess system and user attributes associated with successful searching. A group of highly experienced retrieval system users were given eight queries - half to be completed with a Boolean system and the other half to be completed with a natural language system - and asked to identify `instances' of information related to a topic. A variety of demographic, experience, cognitive, personality, search mechanics, and user satisfaction attributes were measured and evaluated for association with `instance recall.' The system-oriented analysis showed user preference for the Boolean system but equivalent instance recall with the two systems. The user-oriented analysis showed improved performance with occupation type, user satisfaction, and number of search terms per cycle. A variety of cognitive and personality attributes did not show any association with better searching.

Original languageEnglish (US)
Pages60-70
Number of pages11
StatePublished - Jan 1 1999
EventProceedings of the 1999 IEEE Forum on Research and Technology Advances in Digital Libraries, IEE ADL '99 - Baltimore, MD, USA
Duration: May 19 1999May 21 1999

Other

OtherProceedings of the 1999 IEEE Forum on Research and Technology Advances in Digital Libraries, IEE ADL '99
CityBaltimore, MD, USA
Period5/19/995/21/99

ASJC Scopus subject areas

  • Management of Technology and Innovation

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