Abstract
The first simulation experiment used a saturated partial factorial design (Simon, 1973) to screen for the most important factors from 10 candidates identified in a literature review (Barnes, 1976). The results of the second experiment were used to generate regression models which predicted detection performance in terms of display size, number of targets, target/background contrast, signal-to-noise ratio, and target configuration. Further analysis was done to investigate subject differences using d' and β measures from signal detection theory. Differences in decision criterion (β) were nearly as important as differences in sensory processing sensitivity (d') as an explanation for subject performance.
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