| Research Abstract |
The method of the human sensitivity or Mental WorkLoad (MWL) evaluation in the human-machine-environment system is divided into classes. One is the subjective evaluation, and the other is objective. The subjective evaluation depends on the age, skill, and physical condition of the subject. Therefore, it is difficult to evaluate with the reproducibility. Also, the viewpoint of the evaluation quantitatively, it is nexessary to shift to the objective evaluation. Therefore, many researches about the MWL using the objective evaluation have been done in recent year. It is though that the human's processing in human-machine-environment system consists of the elements of the human, machine, environment. Therefore, when we estimate the MWL during the control, it is important to consider this integrated element.
In this research, the Heart Rate Variability (HRV) is used to the analysis, because it became known that a strong relationship existed between the MWL and HRV. For this analysis, we try to construct the integrated model of the human-machine-environment system using the HRV.
The Neural Network System (NNS) is the method of system identification that imitates the information processing of the brain nervous system. It is very suitable for nonlinear identification. Using this system, we construct two kinds of model, one is for evaluation of MWL and the other is for factor analysis to the MWL. As a result, it is found that the output of these models are described the MWL of the panel. And, also, we analysis the main factor to the MWL using the NNS model.
From this result, we confirm that the method has a possibility to analyze the MWL not only qualitatively but also quantitatively.
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