A Review of Quasi-Linear Pilot Models

McRuer, Duane T.; Jex, Henry R.

doi:10.1109/thfe.1967.234304

Cited by 717 publications

(541 citation statements)

References 35 publications

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“…22,23 As shown in Fig. 1, the output of the human operator, the control input signal u, is the sum of a linear response and a remnant signal n. The linear response has two contributions, H pe and H p φ , which respectively model the response to the roll tracking error (available from the PFD) and the response to the roll feedback (available from the out-ofthe-window cues or the simulator's physical motion).…”

Section: Iia Control Taskmentioning

confidence: 99%

Effects of Peripheral Visual Cues in Simulator-Based Training of Multimodal Control Skills

Mendes

Pool

Paassen

2017

AIAA Modeling and Simulation Technologies Conference

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This paper describes a training experiment performed in the SIMONA Research Simulator at Delft University of Technology to evaluate the effectiveness of peripheral visual cues as a substitute for physical motion feedback during the development of multimodal control skills. Twenty task-naive participants were divided in two experimental groups and performed a skill-based compensatory roll tracking task. Both groups were trained in a fixed-base setting, but one group was provided with additional out-of-the-window peripheral visual (roll rate) cues. After training, participants were transferred to a moving-base condition where pure roll motion cues were provided. The development of skills in both groups throughout the experiment was studied and compared using fits of a multimodal human operator model with an error and a roll feedback response, to explicitly quantify operators' use of all supplied feedbacks. As expected, the group that had access to peripheral visual cues attained better tracking performance during training and showed the development of multimodal control behavior. However, no evident transfer of this developed multimodal control strategy to a motion setting was observed. This suggests that training with peripheral visual cues is not an effective substitute for training the multimodal skills human operators use when motion feedback is available.

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Section: Iia Control Taskmentioning

confidence: 99%

Effects of Peripheral Visual Cues in Simulator-Based Training of Multimodal Control Skills

Mendes

Pool

Paassen

2017

AIAA Modeling and Simulation Technologies Conference

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“…In other words, the external noise signal, n(t), represents the elements of the human behavior which cannot be correlated with the input, and which cannot be generated by a linear operation on the input [49,50]. Further, it has been shown [47] that the remnant occupies the longest portion of the human response for the tracking task, and it is independent with the input signal, e(t).…”

Section: Ouasi-linear Controller Modelmentioning

confidence: 99%

“…This term is strongly dependent on the controlled system and task situations. The limitation term in For manual control systems, [15,50] shows that the following model possesses the property of a good servo. It was shown that the modified model, Equation (2.3), becomes more useful when the human operator is monitoring a control system which is unstable and possesses a small phase margin [52].…”

Section: Ouasi-linear Controller Modelmentioning

confidence: 99%

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Analysis of delays in networked flight simulators

Menhaj

Hagan

1994

IEEE Trans. Syst., Man, Cybern.

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“…Given that the log-normal distribution arises as a result of multiplicative processes, a multiplicative humancontrol model is proposed. The model is compared with data from human subjects and with a standard approach in humanperformance modelling: the Crossover Model [6].…”

Section: Introductionmentioning

confidence: 99%

A multiplicative human steering control model

Martínez-García

Gordon

2017

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Abstract-A non-linear, yet simple, multiplicative humancontrol model is developed by studying the statistical properties of human subjects' motor response to a visual input; statistical analysis of the magnitude of the steering angle, from subjects performing a tracking task with a steering wheel, shows that the data is consistent with a log-normal distribution. Thus the possibility of modelling human-control as a multiplicative process, that replicates the statistical properties found in the humanoperator is considered. The proposed multiplicative controller is contrasted with real data and with the Crossover Model. This research has potential applications in a wide range of fields, from human performance modelling to the development of humanmachine interfaces, particularly in the application of ground vehicle automation.

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A Review of Quasi-Linear Pilot Models

Abstract: other matter. A decay or interference theory of shortterm memory would predict a large drop in accuracy with aural presentation of the sequences. ACKNOWLEDGMENT The author would like to express his appreciation to Mrs. Susan A. Speeth for her help in these studies.

Cited by 717 publications

References 35 publications

Effects of Peripheral Visual Cues in Simulator-Based Training of Multimodal Control Skills

Effects of Peripheral Visual Cues in Simulator-Based Training of Multimodal Control Skills

Analysis of delays in networked flight simulators

A multiplicative human steering control model

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