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Signal probability effects on error detection performance in a quality control task
Lisa Bilsing-Palacio1, Kraig L Schell
1Angelo State University, San Angelo, TX 76909, USA.
Abstract:
This study was designed to examine the influence of signal probability on detection accuracy in a quality control task patterned after the checking of prescriptions in a pharmacy. Signal probability was defined as the ratio of erroneous scripts to correct scripts. 91 participants were either exposed to signal probabilities ranging from 26 to 30% ("low probability") or 34 to 38% ("high probability") while checking two sets of 40 simulated scripts for accuracy. Wrong item, wrong number, and wrong label information errors were possible, and performance was measured in terms of sensitivity (percentage of errors detected) and specificity (percentage of correct orders accepted). Analysis indicated that sensitivity was significantly worse for participants in the high signal probability condition, but specificity was not significantly different between signal probability conditions. Connections to existing theory and future directions for research are discussed.
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