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A signal-detection theory based perspective on design of warning
Authors:MR Lehto  JD Papastavrou
Affiliation:School of Industrial Engineering, Purdue University, West Lafayette, IN 47907-1287, USA.
Abstract:The effects of warnings are analyzed using a distributed signal-detection theory model. It is established that selectivity always increases effectiveness. The implications to optimal warning design for intermittent versus continuous hazards are discussed. The changes in the behavior of the 6 human subjects in response to changes in the warning levels are consistent with the predictions of the model.
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