The Effects of Biodynamic Stress on Workload in Human Operators

1988 ◽  
Vol 32 (19) ◽  
pp. 1409-1413
Author(s):  
William B. Albery ◽  
Harry G. Armstrong ◽  
Merry M. Roe ◽  
Charles D. Goodyear ◽  
Kathy A. McCloskey
Keyword(s):  
Task Performance ◽  
Human Operator ◽  
Operator Performance ◽  
Human Operators ◽  
Operator Workload

The objective of this research was to assess the effects of two biodynamic stressors, noise and acceleration, commonly experienced in the aircraft cockpit, on human operator performance and workload. Thirteen workload measures, including one subjective, four performance and eight physiological, were recorded on subjects performing a dual psychomotor task. The results indicate that biodyanmic stressors such as noise and acceleration can adversely affect subjective operator workload without affecting objective task performance.

Human Operator Performance Testing Using an Input-Shaped Bridge Crane

2005 ◽  
Vol 128 (4) ◽  
pp. 835-841 ◽  
Author(s):  
Attir Khalid ◽  
John Huey ◽  
William Singhose ◽  
Jason Lawrence ◽  
David Frakes
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Performance Testing ◽  
Human Operator ◽  
Input Shaping ◽  
Bridge Crane ◽  
Georgia Institute ◽  
Operator Performance ◽  
Human Operators ◽  
Institute Of Technology

The payload oscillation inherent to all cranes makes it challenging for human operators to manipulate payloads quickly, accurately, and safely. An input-shaping controller was implemented on a large bridge crane at the Georgia Institute of Technology to reduce crane payload oscillation. The crane was used to study the performance of human operators as they drove the crane through obstacle courses. An image processing system was implemented to track the movement of the crane payload. Data from these experiments show that operators performed manipulation tasks faster, safer, and more effectively when input shaping was utilized to reduce payload sway.

Refinements and validation testing of human operator performance emulator (HOPE).

1981 ◽  
Author(s):  
Esther L. Davenport ◽  
Joanne Green ◽  
William E. Sears ◽  
Harold F. Engler
Keyword(s):  
Human Operator ◽  
Operator Performance ◽  
Validation Testing

Brain Computer Interface Robotic Co-Workers: Defective Part Picking System

2018 ◽  
Author(s):  
Yao Li ◽  
Thenkurussi Kesavadas
Keyword(s):  
Direct Instruction ◽  
Human Subject ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Human Operator ◽  
Human Being ◽  
Unstructured Environment ◽  
Human Operators ◽  
Application Fields ◽  
Picking System

Industrial robotic co-workers are robots that can work with human being in an unstructured environment. Such robots, must be able to assist human operators in a seamless way without receiving specific instructions. Robotic co-workers can open entirely new application fields in manufacturing as demonstrated in this paper. We designed such an industrial co-robot to pick up defective parts by simply monitoring a human operator directly through a brain computer interface (BCI). By constantly monitoring the operator using BCI sensors, the robotic co-worker can sense when an operator notices a defective part and then moves to remove the part from a moving conveyor with no direct instruction from the operator. The robot, equipped with an RGB camera, recognizes the part, tracks the position and generates accurate motion plan. We demonstrated the system using a human subject study.

A Biodynamic Model for the Assessment of Human Operator Performance under Vibration Environment

2005 ◽  
Author(s):  
Chi-Ying Liang ◽  
Raymond Magdaleno ◽  
Dongchan Lee ◽  
David H. Klyde ◽  
R. Wade Allen ◽  
...  
Keyword(s):  
Human Operator ◽  
Operator Performance ◽  
Biodynamic Model

Nonlinear and Time-Varying Dynamical Models of Human Operators in Manual Control Systems

1966 ◽  
Vol 8 (2) ◽  
pp. 97-120 ◽  
Author(s):  
Walter W. Wierwille ◽  
Gilbert A. Gagne
Keyword(s):  
Control System ◽  
Linear Time ◽  
Human Operator ◽  
Manual Control ◽  
Time Variability ◽  
Time Varying ◽  
Deterministic Theory ◽  
Manual Control System ◽  
New Information ◽  
Human Operators

This paper describes the application of a deterministic theory for characterizing or modeling the dynamics of a human operator in a manual control system. Linear time-varying, nonlinear time-varying, and non-linear constant-coefficient models are obtained by applying the theory to tracking data taken for one- and two-axis tasks with various displays. The accuracy and fidelity of these advanced models are explored in detail. Also, new information about time variability and nonlinearity of the human operator, obtained by studying the models and the manual control system signals, is presented.

Microcomputer Human Operator Simulator (HOS-IV)

1987 ◽  
Vol 31 (10) ◽  
pp. 1179-1183 ◽  
Author(s):  
Regina M. Harris ◽  
Helene P. Iavecchia ◽  
Lorna V. Ross ◽  
Steven C. Shaffer
Keyword(s):  
System Performance ◽  
External Environment ◽  
General Purpose ◽  
Human Operator ◽  
Generation Model ◽  
Simulation Tool ◽  
Hardware System ◽  
Motor Activities ◽  
Representation Scheme ◽  
Operator Workload

This paper describes the 4th-generation model of the Human Operator Simulator (HOS-IV) as implemented on an IBM PC AT microcomputer. HOS is a general purpose simulation tool for modeling the cognitive, perceptual, and motor activities of an operator who is performing a set of tasks during the course of a mission. HOS provides the capability to model the hardware system and the external environment which impact operator workload and system performance. Discussed are the new features of HOS-IV including the user-oriented interface, knowledge representation scheme, and enhanced modeling capabilities.

Visual Factors Affecting Human Operator Performance with a Helmet-Mounted Display

1991 ◽  
Author(s):  
Andrew Liu ◽  
Gregory Tharp ◽  
Michitaka Hirose ◽  
Lawrence Stark
Keyword(s):  
Human Operator ◽  
Factors Affecting ◽  
Operator Performance
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