Application of Time-Series Modeling to Human Operator Dynamics

1 January 1980

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics

Vol. 10 (12) , 849-860
https://doi.org/10.1109/TSMC.1980.4308412

Abstract

Time-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 ms between samples is adequate and is shown to provide better results than a 200 ms sampling. The residual power spectrum and eigenvalue analysis show that the human operator is not a generator of periodic characteristics.

Keywords

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