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A model of the human observer and decision makerThe decision process is described in terms of classical sequential decision theory by considering the hypothesis that an abnormal condition has occurred by means of a generalized likelihood ratio test. For this, a sufficient statistic is provided by the innovation sequence which is the result of the perception an information processing submodel of the human observer. On the basis of only two model parameters, the model predicts the decision speed/accuracy trade-off and various attentional characteristics. A preliminary test of the model for single variable failure detection tasks resulted in a very good fit of the experimental data. In a formal validation program, a variety of multivariable failure detection tasks was investigated and the predictive capability of the model was demonstrated.
Document ID
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Wewerinke, P. H.
(National Aerospace Lab. Amsterdam, Netherlands)
Date Acquired
August 10, 2013
Publication Date
October 15, 1981
Publication Information
Publication: JPL Proc. of the 17th Ann. Conf. on Manual Control
Subject Category
Man/System Technology And Life Support
Accession Number
Distribution Limits
Public Use Permitted.
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