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Modeling of human operator dynamics in simple manual control utilizing time series analysisTime series analysis is applied to model human operator dynamics in pursuit and compensatory tracking modes. The normalized residual criterion is used as a one-step analytical tool to encompass the processes of identification, estimation, and diagnostic checking. A parameter constraining technique is introduced to develop more reliable models of human operator dynamics. The human operator is adequately modeled by a second order dynamic system both in pursuit and compensatory tracking modes. In comparing the data sampling rates, 100 msec between samples is adequate and is shown to provide better results than 200 msec sampling. The residual power spectrum and eigenvalue analysis show that the human operator is not a generator of periodic characteristics.
Document ID
19820026162
Document Type
Reprint (Version printed in journal)
Authors
Agarwal, G. C. (Illinois Univ. Chicago, IL, United States)
Osafo-Charles, F. (Illinois Univ. Chicago, IL, United States)
Oneill, W. D. (Illinois Univ. Chicago, IL, United States)
Gottlieb, G. L. (Illinois Univ. Chicago, IL, United States)
Date Acquired
August 10, 2013
Publication Date
July 1, 1982
Publication Information
Publication: NASA. Ames Research Center 16th Ann. Conf. on Manual Control
Subject Category
MAN/SYSTEM TECHNOLOGY AND LIFE SUPPORT
Funding Number(s)
CONTRACT_GRANT: NS-00196
CONTRACT_GRANT: NS-12877
CONTRACT_GRANT: NSF ENG-76-08754
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19820026161Analytic PrimarySixteenth Annual Conference on Manual Control