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An input adaptive, pursuit tracking model of the human opertorDeveloped and evaluated is a simple model of the input adaptive behavior of the human operator (HO) in a pursuit tracking task in which the plant controlled consists of a pure gain. If it is assumed that the HO is approximately an optimal predictor using only position and velocity information, then there is a simple method of computing the values of the model parameters in terms of the autocorrelation function of the input signal. Experimental evidence indicates that the ability of the HO to use velocity information decreases with increasing signal velocity indicating that a biased estimator of the velocity weighting should be used. A suitable approximation is derived which has rapid convergence and low variance. The model thus derived is compared to actual subject transfer functions and is found to be in close agreement. In addition to tracking random processes the model can adapt to and track deterministic signals, such as sine waves, up to approximately the frequency at which human operators begin to track precognitively.
Document ID
19730001381
Acquisition Source
Headquarters
Document Type
Conference Paper
Authors
Ware, J. R.
(Naval Ship Research and Development Center Washington, DC, United States)
Date Acquired
August 7, 2013
Publication Date
January 1, 1972
Publication Information
Publication: NASA, Washington 7th Ann. Conf. on Manual Control
Subject Category
Biotechnology
Accession Number
73N10108
Funding Number(s)
CONTRACT_GRANT: NSR-23-005-906
CONTRACT_GRANT: NSR-23-005-364
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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