User misconceptions of information retrieval systems

Hsinchun Chen; Vasant Dhar

doi:10.1016/S0020-7373(05)80107-5

User misconceptions of information retrieval systems

Hsinchun Chen, Vasant Dhar

Research output: Contribution to journal › Article › peer-review

38 Scopus citations

Abstract

We report results of an investigation where thirty subjects were observed performing subject-based search in an online catalog system. The observations have revealed a range of misconceptions users have when performing subject-based search. We have developed a taxonomy that characterizes these misconceptions and a knowledge representation which explains these misconceptions. Directions for improving search performance are also suggested.

Original language	English (US)
Pages (from-to)	673-692
Number of pages	20
Journal	International Journal of Man-Machine Studies
Volume	32
Issue number	6
DOIs	https://doi.org/10.1016/S0020-7373(05)80107-5
State	Published - Jun 1990

ASJC Scopus subject areas

General Engineering

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10.1016/S0020-7373(05)80107-5

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title = "User misconceptions of information retrieval systems",

abstract = "We report results of an investigation where thirty subjects were observed performing subject-based search in an online catalog system. The observations have revealed a range of misconceptions users have when performing subject-based search. We have developed a taxonomy that characterizes these misconceptions and a knowledge representation which explains these misconceptions. Directions for improving search performance are also suggested.",

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AB - We report results of an investigation where thirty subjects were observed performing subject-based search in an online catalog system. The observations have revealed a range of misconceptions users have when performing subject-based search. We have developed a taxonomy that characterizes these misconceptions and a knowledge representation which explains these misconceptions. Directions for improving search performance are also suggested.

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User misconceptions of information retrieval systems

Abstract

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