Perceptual Speed, Learning and Information Retrieval Performance.

Bryce Allen: Perceptual Speed, Learning and Information Retrieval Performance. SIGIR 1994: 71-80

@inproceedings{DBLP:conf/sigir/Allen94,
  author    = {Bryce Allen},
  editor    = {W. Bruce Croft and
               C. J. van Rijsbergen},
  title     = {Perceptual Speed, Learning and Information Retrieval Performance},
  booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
               on Research and Development in Information Retrieval. Dublin,
               Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
  publisher = {ACM/Springer},
  year      = {1994},
  isbn      = {3-540-19889-X},
  pages     = {71-80},
  ee        = {db/conf/sigir/Allen94.html},
  crossref  = {DBLP:conf/sigir/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Although the cognitive ability "perceptual speed" is known to influence search performance by end-users, previous research has not established the mechanism by which this influence occurred. Results from educational psychology suggest that learning that occurs during searching is likely to be infhtenced by perceptual speed. An experiment was designed to test how this cognitive ability would interact with a system feature designed to enhance learning of search vocabulary, specifically, presenting subject descriptors as the first element in the display of a reference. Results showed significant interactions between perceptual speed and the order of presentation of data elements in predicting both vocabulary learning and search performance. These results indicate that searchers with higher levels of perceptual speed will learn additional search vocabulary, and use that vocabulary to complete higher quality searches, when they use a system designed to optimize scanning of subject descriptors. This outcome supports the idea that cognitive abilities influence information system usability, and that usability is determined by interactions between characteristics of users and system features. The findings also suggest that system features that enhance the learning of search vocabulary, such as query expansion mechanisms, can have a significant positive effect on the quality of end-user searching.

Copyright © 1994 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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BibTeX

Printed Edition

W. Bruce Croft, C. J. van Rijsbergen (Eds.): Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Dublin, Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum). ACM/Springer 1994, ISBN 3-540-19889-X
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Referenced by

Norbert Fuhr: Models for Integrated Information Retrieval and Database Systems. IEEE Data Eng. Bull. 19(1): 3-13(1996)

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