A model of human operator behavior during pursuit manual tracking-what does it reveal?

2002 ◽  
Author(s):  
A. Abdel-Malek ◽  
V. Marmarelis
Keyword(s):  
Human Operator ◽  
Manual Tracking ◽  
Operator Behavior

Characteristics of Human Operator in Manual Tracking Control System

2011 ◽  
Vol 328-330 ◽  
pp. 1788-1791
Author(s):  
Xiu Hui Fu ◽  
Jing Wang ◽  
Shu Li Ouyang ◽  
Wei Bo Song
Keyword(s):  
Control System ◽  
Tracking Control ◽  
Control Experiment ◽  
Human Operator ◽  
Manual Tracking ◽  
Control Effect ◽  
Experiment Data ◽  
Experiment System ◽  
Handling Characteristics ◽  
Operator Control

Identification of operator handling characteristics has got the great attention of many people, especially for the intelligence of the machine. This article designs a manual tracking control experiment to analyze the human operator control characteristics. The whole experiment system is composed by a computer and a joystick. The computer simulate the target ball’s movement, human operator can control the reference ball by the joystick to track the target ball. By changing the target ball’s speed to identify the human operator control effect .According to record and analyze the deviation of the experiment data, achieved some tracking control characteristics of the operator: first, every operator has a time delay between he discovers the target and operates the machine to track it, this time is about 0.4s, second, the operator’s tracking performance is related to his operating skill, in addition, tracking effect depends on the target’s speed, the more difficult of the experiment task is, the poorer of the tracking effect is.

Human operator dynamics in manual tracking systems with auditory input

1980 ◽  
Vol 37 (3) ◽  
pp. 159-166 ◽  
Author(s):  
M. Takashima ◽  
S. Yoshizawa ◽  
J. Nagumo
Keyword(s):  
Human Operator ◽  
Manual Tracking ◽  
Auditory Input ◽  
Tracking Systems

Decision-Making Models of the Human-Operator as an Element of the Socio-Technical Systems

2017 ◽  
pp. 167-204 ◽  
Author(s):  
Nina Rizun ◽  
Tetiana Shmelova
Keyword(s):  
Decision Making ◽  
Point Of View ◽  
Transient Processes ◽  
Human Operator ◽  
Analysis Theory ◽  
Decision Making Processes ◽  
Intuitive Decision Making ◽  
Decision Making Models ◽  
Decision Making Behavior ◽  
Operator Behavior

The authors of the chapter proved that the fundamental intellectual processes, which lie on the basis of decision-making behavior of the human-operator, could be identified on the bases on the analogies with the devices (elements). The basic intellectual processes of the Rational decision-making models can be adequately identified by the transient processes of the PID-controller; the intellectual processes of the Bounded Rationality and Intuitive decision-making models can be identified by the transient processes of the nonlinear elements. Taxonomy of the most typical automatic control theory elements and their compliance with certain decision-making models with a point of view of decision-making processes specificity and on human-operator behavior in the context of the socio-technical concept was obtained Authors of the chapter also accept the suggestion that the instruments of collective multi-criteria decision-making and social-network analysis theory have similar mathematical and methodological bases.

Mathematical Model of Human Operator Using Fractional Calculus for Human-in-the-Loop Control

2015 ◽  
Author(s):  
Jiacai Huang ◽  
YangQuan Chen ◽  
Zhuo Li
Keyword(s):  
Mathematical Models ◽  
Mean Squared Error ◽  
Research Area ◽  
Human Operator ◽  
Loop Control ◽  
Human In The Loop ◽  
Squared Error ◽  
Active Research ◽  
Operator Behavior ◽  
Active Research Area

Mathematical models of human operator play a very important role in the Human-in-the-Loop manual control system. For several decades, modeling human operator’s dynamic has been an active research area. The traditional classical human operator models are usually developed using the Quasi-linear transfer function method, the optimal control theory method, and so on. The human operator models established by the above methods have deficiencies such as complicated and over parameterized, even for basic control elements. In this paper, based on the characteristics of human brain and behaviour, two kinds of fractional order mathematical models for describing human operator behavior are proposed. Through validation and comparison by the actual data, the best_fit model with smallest root mean squared error (RMSE) is obtained, which has simple structure with only few parameters, and each parameter has definite physical meaning.

scholarly journals Human Reliability Analysis in the Context of Accident Scenarios

2008 ◽  
Vol 6 (3) ◽  
pp. 295-314 ◽  
Author(s):  
Kazimierz Kosmowski
Keyword(s):  
Reliability Analysis ◽  
Contextual Analysis ◽  
Human Operator ◽  
Industrial System ◽  
Functional Safety ◽  
Human Reliability ◽  
Human Reliability Analysis ◽  
Dependent Failures ◽  
Accident Scenarios ◽  
Operator Behavior

Human Reliability Analysis in the Context of Accident ScenariosThis article addresses the issue of human reliability analysis (HRA) in the context of accident scenarios. The need for contextual analysis of human operator behavior with careful treating of errors and dependent failures within given accident scenario is emphasized. The functional safety analysis including the human reliability analysis is illustrated on example of the protection layers of a hazardous industrial system that includes the basic process control system (BPCS), human-operator (HO) and safety instrumented systems (SIS) designed with regard to the functional safety criteria.

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