Research on Measurement and a Modeling of Human Sensitivity for Qualitative Evaluation

用于定性评估的人类敏感性测量和建模研究

基本信息

批准号：
09838035
负责人：
KAGEYAMA Ichiro
金额：
$ 1.86万
依托单位：
Nihon University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1999
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09838035/
关键词：
Sensitivity Mental Workload Hart Rate Variability Factor Analysis Neural Network RRV method Dynamics 心拍のゆらぎ呼吸性不整脈心負担生体反応 R-R値

项目摘要

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.

人类机器环境系统中人类敏感性或心理工作量（MWL）评估的方法分为类别。一个是主观评估，另一个是客观的。主观评估取决于受试者的年龄，技能和身体状况。因此，很难用可重复性进行评估。同样，评估的观点是定量的，转向客观评估也是联系。因此，最近一年对使用客观评估的MWL进行了许多研究。尽管人类在人机环境系统中的处理是由人，机器，环境的要素组成的。因此，当我们在对照过程中估算MWL时，重要的是要考虑这一综合元素。在这项研究中，心率变异性（HRV）用于分析，因为它已经知道MWL和HRV之间存在牢固的关系。为了进行此分析，我们尝试使用HRV构建人机环境系统的集成模型。神经网络系统（NNS）是模仿脑神经系统信息处理的系统识别方法。它非常适合非线性识别。使用此系统，我们构建了两种模型，一个是用于评估MWL，另一个是用于MWL的因子分析。结果，发现这些模型的输出被描述为面板的MWL。而且，我们使用NNS模型分析了MWL的主要因素。从这个结果中，我们确认该方法不仅可以在定性上而且定量分析MWL。