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The results of an effort performed by Sperry Systems Management Division for AMRL in applying time series analysis as a tool for modeling the human operator are presented. This technique is utilized for determining the variation of the human transfer function under various levels of stress. The human operator's model is determined based on actual input and output data from a tracking experiment.
The basic concepts of Petri nets are reviewed as well as their application as the fundamental model of technical systems with concurrent discrete events such as hardware systems and software models of computers. The use of Petri nets is proposed for modeling the human operator dealing with concurrent discrete tasks. Their properties useful in modeling the human operator are discussed and practical examples are given. By means of and experimental investigation of binary concurrent tasks which are presented in a serial manner, the representation of human behavior by Petri nets is demonstrated.
A previously described parameter estimation program was applied to a number of control tasks, each involving a human operator model consisting of more than one describing function. One of these experiments is treated in more detail. It consisted of a two dimensional tracking task with identical controlled elements. The tracking errors were presented on one display as two vertically moving horizontal lines. Each loop had its own manipulator. The two forcing functions were mutually independent and consisted each of 9 sine waves. A human operator model was chosen consisting of 4 describing functions, thus taking into account possible linear cross couplings. From the Fourier coefficients of the relevant signals the model parameters were estimated after alignment, averaging over a number of runs and decoupling. The results show that for the elements in the main loops the crossover model applies. A weak linear cross coupling existed with the same dynamics as the elements in the main loops but with a negative sign.
Application of the optimal control model of the human operator to problems in display analysis is discussed. Those aspects of the model pertaining to the operator-display interface and to operator information processing are reviewed and discussed. The techniques are then applied to the analysis of advanced display/control systems for a Terminal Configured Vehicle. Model results are compared with those obtained in a large, fixed-base simulation.
Synthesis and identification of mathematical models which characterize discrete control behavior of human operators
Theory for deterministic characterization of time varying dynamics of human operator performance tracking task.
Human operator manual control speed, frequency and flexibility innate limitations, suggesting techniques to overcome them
Human operator transinformation sensitivity to display gain and forcing function bandwidth in rate control tracking task
Investigation of the human operator visual performance demands of teleoperator system applications to earth-orbital missions involving visual system requirements for satellite retrieval and satellite servicing functions. The first phase of an experimental program implementing this investigation is described in terms of the overall test apparatus and procedures used, the specific tests performed, and the test results obtained.
Computational procedures for improving the reliability of human operator describing functions are described. Special attention is given to the estimation of standard errors associated with mean operator gain and phase shift as computed from an ensemble of experimental trials. This analysis pertains to experiments using sum-of-sines forcing functions. Both open-loop and closed-loop measurement environments are considered.
Theory for optimal deterministic characterization of time-varying human operators engaged in tracking task
Adaptive model for human operator engaged in one- dimensional, compensatory, visual-manual tracking
Effect of random sampling interval on sampled data model of human operator in compensatory tracking
Mathematical model for decision making /heuristics/ by human operators in control systems
Dynamic model for human operator behavior prediction during sudden changes in vehicle control mode
Remote manipulators (teleoperators) are defined as mechanical devices which extend human manipulative ability to operational environments which are either hostile to or remote from the human operator. Teleoperation involves the explicit and active inclusion of the human operator (HO) in the system control loop. An investigation of human/teleoperator control interactions in the orbital operational environment has been conducted, taking into account the employment of a model describing human neuromotor control as a linear damped harmonic oscillator. The application of this model for the specification of the end point position in teleoperator control is explored, and two experiments are conducted. The results indicate the potential utility of relatively simple models of neuromotor control processes in investigating the interaction of the human operator and controller in teleoperation.
Deterministic characterization theory for determining time-varying dynamics of human operator engaged in tracking tasks
Nonlinearity and time variability dynamic models of human operators in manual control systems