Model-Based Simulation to Examine Command and Control Issues with Remotely Operated Vehicles

2008 ◽  
pp. 199-218 ◽  
Author(s):  
Sasanka Prabhala ◽  
Subhashini Ganapathy ◽  
S. Narayanan ◽  
Jennie J. Gallimore ◽  
Raymond R. Hill
Keyword(s):  
Cognitive Model ◽  
Command And Control ◽  
Simulation Models ◽  
High Fidelity ◽  
Remotely Operated Vehicles ◽  
Design Concepts ◽  
Model Based ◽  
Critical Issues ◽  
Commercial Applications ◽  
And Control

With increased interest in the overall employment of pilotless vehicles functioning in the ground, air, and marine domains for both defense and commercial applications, the need for high-fidelity simulation models for testing and validating the operational concepts associated with these systems is very high. This chapter presents a model-based approach that we adopted for investigating the critical issues in the command and control of remotely operated vehicles (ROVs) through an interactive model-based architecture. The domain of ROVs is highly dynamic and complex in nature. Hence, a proper understanding of the simulation tools, underlying system algorithms, and user needs is critical to realize advanced simulation system concepts. Our resulting simulation architecture integrates proven design concepts such as the model-view-controller paradigm, distributed computing, Web-based simulations, cognitive model-based high-fidelity interfaces and object-based modeling methods.

Model-Based Assessment of Situation Awareness

2002 ◽  
Vol 46 (3) ◽  
pp. 347-351 ◽  
Author(s):  
Floyd Glenn ◽  
Jennifer McNamara ◽  
Jim Hicinbothom ◽  
Derek Wischusen
Keyword(s):  
Situation Awareness ◽  
Cognitive Model ◽  
Command And Control ◽  
Assessment Instrument ◽  
Subject Matter Experts ◽  
Critical Events ◽  
Model Based ◽  
Control Application ◽  
And Control ◽  
Established Technique

In order to evaluate situation awareness (SA) in a Navy shipboard command and control environment, a model-based framework is being developed based on the foundation of an established technique. An executable cognitive model is used to generate interruption points and probe questions by executing in realtime in parallel with the evaluated individual. The model identifies when critical events occur (or could occur) and also determines what information is critical to identifying these situations and making required decisions. The model instigates interruptions of performance in the simulation environment and presents appropriate probe questions. An empirical exercise was undertaken in order to provide data on the design of this SA assessment instrument for the target command and control application. Subject matter experts (SMEs) were employed to identify critical events and information in simulation scenarios and those specifications were used to provide guidance for the development of the model-based SA assessment technique.

Detecting Occurrences of the “Substitution Myth”: A Systems Engineering Template for Modeling the Supervision of Automation

2016 ◽  
Vol 11 (2) ◽  
pp. 184-199
Author(s):  
Patrick Chisan Hew
Keyword(s):  
Human Factors ◽  
Systems Engineering ◽  
Command And Control ◽  
Electronic Warfare ◽  
Weapon Systems ◽  
Model Based ◽  
And Control ◽  
Self Protection ◽  
Model Based Systems Engineering

Current usages of model-based systems engineering allow naïve substitutions of humans by machines. Human factors / ergonomics researchers have rejected such substitutions as the “substitution myth,” for if work is reallocated from a human to a machine, then there is work incurred to ensure that the machine is working properly—it must be supervised. We construct a template for what automation should look like when the need for supervision is taken into account. The template can be applied to understand the arrangements for supervising automation in systems as they are and to explore the options for systems that are being designed. We consider examples from electronic warfare self-protection and the command and control of sensor-weapon systems in the land domain.

Experimental Design Interrogation of Network Simulation Models of U.S. Army Command and Control Centers

2002 ◽  
Vol 46 (3) ◽  
pp. 458-462 ◽  
Author(s):  
Sam E. Middlebrooks ◽  
Robert C. Williges
Keyword(s):  
Experimental Design ◽  
Human Performance ◽  
Situational Awareness ◽  
Command And Control ◽  
Simulation Models ◽  
Study Finding ◽  
Fractional Factorial ◽  
Network Computer ◽  
Main Effect ◽  
And Control

Using a task network computer simulation previously developed by the U.S. Army to investigate workload conditions in a command and control center, this project developed new methodologies to use computer simulations to predict conditions for optimal human performance. By using an experimental design to interrogate the model to see what the decision makers in the work team deemed to be important, predictions were made about how the work domain could be optimized for the most efficient human performance. An augmented fractional-factorial design was developed that allowed an analysis of the main effect for each independent variable along with predictions of higher order components that might exist in each main effect. A major study finding was the extent to which battalion commanders focused their attention on establishing and maintaining situational awareness during combat operations and the need to present information to the commander in a way that supported rather than detracted from situation understanding.

scholarly journals Quantification of Command and Control Approaches – Model Based Evaluation

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Hodický ◽  
Procházka ◽  
Stodola ◽  
Drozd
Keyword(s):  
Command And Control ◽  
Model Based ◽  
And Control
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