Calibrating databases
Searching for information in a database typically involves a series of decisions, as one chooses among alternative places to look. Behavioral decision theory investigates the cognitive processes involved in decision‐making, with a particular focus on those that may impede effective performance. Appl...
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Published in | Journal of the American Society for Information Science Vol. 37; no. 4; pp. 222 - 233 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Washington, D.C
Wiley Subscription Services, Inc., A Wiley Company
01.07.1986
John Wiley & Sons American Documentation Institute Wiley Periodicals Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0002-8231 1097-4571 |
DOI | 10.1002/(SICI)1097-4571(198607)37:4<222::AID-ASI8>3.0.CO;2-K |
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Summary: | Searching for information in a database typically involves a series of decisions, as one chooses among alternative places to look. Behavioral decision theory investigates the cognitive processes involved in decision‐making, with a particular focus on those that may impede effective performance. Applying this perspective to information search provides a set of measures for characterizing performance with different databases and a set of hypotheses for predicting search difficulties. These measures were used and these hypotheses were examined in the context of searching for information in a familiar database, the Statistical of the United States. Results generally replicated previous findings with other decision‐making tasks and suggested ways to improve performance. For example, subjects had unrealistic expectations regarding their ability to locate information quickly, which might be reduced by having them identify a set of possible locations before focusing on any one. © 1986 John Wiley & Sons, Inc. |
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Bibliography: | ArticleID:ASI8 istex:3A6209C49F0F167B9B427FEA79000301FB7EA83C ark:/67375/WNG-SK7PDW9N-B National Science Foundation - No. IST 8312482 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Statistics/Data Report-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0002-8231 1097-4571 |
DOI: | 10.1002/(SICI)1097-4571(198607)37:4<222::AID-ASI8>3.0.CO;2-K |