ACM SIGMOD Anthology SIGIR dblp.uni-trier.de

Individual Differences in the Use of Information Retrieval Systems: Some Issues and Some Data.

Christine L. Borgman: Individual Differences in the Use of Information Retrieval Systems: Some Issues and Some Data. SIGIR 1987: 61-71
@inproceedings{DBLP:conf/sigir/Borgman87,
  author    = {Christine L. Borgman},
  title     = {Individual Differences in the Use of Information Retrieval Systems:
               Some Issues and Some Data},
  booktitle = {Proceedings of the Tenth Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval, New Orleans,
               Louisiana, USA, June 3-5, 1987},
  publisher = {ACM},
  year      = {1987},
  pages     = {61-71},
  ee        = {db/conf/sigir/Borgman87.html},
  crossref  = {DBLP:conf/sigir/87},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

The population using information retrieval systems is becoming increasingly diverse. We find a wide range of skills in ability to use these systems; this diverse population must be accommodated by the next generation of systems. This paper reports on a study to identify variables related to information retrieval aptitude, based on results from earlier studies of searchers and programmers. A sample of undergraduate subjects from English, psychology, and engineering majors was given a series of psychometric tests and compared to known populations. We find that engineering majors exhibit academic background and personality characteristics most like those of skilled searchers and programmers, with contrasting patterns or no discernible patterns in English and psychology majors. The strength of most associations increases when restricted to subjects who have either stayed in one major or who have changed major only within one disciplinary area. About half the variance in choice of major can be explained by scores on the tests administered, and a comparable amount of variance in test scores can be explained by the academic background variables.

Copyright © 1987 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, Louisiana, USA, June 3-5, 1987. ACM 1987
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