Human performance modeling for operational Command, Control and Communication

2005 ◽  
Author(s):  
Jeffrey T. Hansberger ◽  
Diane Barnette
Keyword(s):  
Human Performance ◽  
Performance Modeling

Human Performance Modeling of Reduced Manning Concepts for Navy Ships

1996 ◽  
Vol 40 (19) ◽  
pp. 987-991 ◽  
Author(s):  
Rick D. Archer ◽  
G.W. Lewis ◽  
John Lockett
Keyword(s):  
System Integration ◽  
Human Performance ◽  
Performance Modeling ◽  
Assessment Tool ◽  
Simulation Models ◽  
Hierarchical Decomposition ◽  
Army Research Laboratory ◽  
Multiple Resources ◽  
Bridge Models ◽  
And Task

WinCrew is a human performance assessment tool developed by the Army Research Laboratory, Human Research and Engineering Directorate that implements the Wickens' Theory of Multiple Resources. WinCrew supports the hierarchical decomposition of missions into functions and tasks. As a demonstration of the capability of WinCrew, simulation models of the activities performed by bridge personnel on a Navy Guided Missile Destroyer DDG51 were developed. The scenarios were chosen to illustrate the potential of task network based human performance modeling to address reduced manning issues for naval ship operations. In order to fully exercise the functionality of WinCrew, four bridge models were developed. One scenario was modeled for four different manning, automation, and task allocation configurations. The scenario modeled was entry into San Diego Harbor. The major events for the bridge team were: bearing fixes, gyro error checks, turns, precision anchoring, and obstacle avoidance. Results of the effort demonstrated the utility of workload modeling for assessing human system integration alternatives for shipboard manning.

Human performance modeling: A case study

2010 ◽  
Vol 49 (8) ◽  
pp. 36-41 ◽  
Author(s):  
Jerry L. Harbour
Keyword(s):  
Human Performance ◽  
Performance Modeling

scholarly journals Human performance modeling for system of systems analytics.

2008 ◽  
Author(s):  
Kevin R. Dixon ◽  
Craig R. Lawton ◽  
Justin Derrick Basilico ◽  
Dennis E. Longsine ◽  
James Chris Forsythe ◽  
...  
Keyword(s):  
Human Performance ◽  
Performance Modeling ◽  
System Of Systems

Workload Warriors: Lessons Learned from a Decade of Mental Workload Prediction Using Human Performance Modeling

2009 ◽  
Vol 53 (12) ◽  
pp. 819-823 ◽  
Author(s):  
Diane Kuhl Mitchell ◽  
Charneta Samms
Keyword(s):  
Human Behavior ◽  
Human Performance ◽  
Performance Modeling ◽  
Mental Workload ◽  
Lessons Learned ◽  
Experimental Conditions ◽  
Workload Prediction ◽  
Army Research Laboratory ◽  
Performance Predictions ◽  
Concept Vehicle

For at least a decade, researchers at the Army Research Laboratory (ARL) have predicted mental workload using human performance modeling (HPM) tools, primarily IMPRINT. During this timeframe their projects have matured from simple models of human behavior to complex analyses of the interactions of system design and human behavior. As part of this maturation process, the researchers learned: 1) to develop a modeling question that incorporates all aspects of workload, 2) to determine when workload is most likely to affect performance, 3) to build multiple models to represent experimental conditions, 4) to connect performance predictions to an overall mission or system capability, and 5) to format results in a clear, concise format. By implementing the techniques they developed from these lessons learned, the researchers have had an impact on major Army programs with their workload predictions. Specifically, they have successfully changed design requirements for future concept Army vehicles, substantiated manpower requirements for fielded Army vehicles, and made Soldier workload the number one item during preliminary design review for a major Army future concept vehicle program. The effective techniques the ARL researchers developed for their IMPRINT projects are applicable to other HPM tools. In addition, they can be used by students and researchers who are doing human performance modeling projects and are confronted with similar problems to help them achieve project success.

Human performance modeling for manufacturing based on an improved KNN algorithm

2016 ◽  
Vol 84 (1-4) ◽  
pp. 473-483 ◽  
Author(s):  
Ni Li ◽  
Haipeng Kong ◽  
Yaofei Ma ◽  
Guanghong Gong ◽  
Wenqing Huai
Keyword(s):  
Human Performance ◽  
Performance Modeling
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