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Published in:
Determining the Ecological Validity of Simulation Environments in Support of Human Competency Development Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Test Protocol for Advancing Behavioral Modeling and Simulation in the Army Soldier Systems Engineering Architecture

Authors : Joan H. Johnston, Samantha Napier, Clay Burford, Shanell Henry, Bill Ross, Colleen Patton

Published in: Advances in Human Factors in Simulation and Modeling

Publisher: Springer International Publishing

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Abstract

When developing military capabilities, it is essential to determine the effect that equipment, tasks, and training will have on Soldier and unit readiness. Human factors processes require technology enablers that streamline the systems engineering design process. Toward this end, a collaboration between the U.S. Army Science and Technology Objectives for the Soldier Systems Engineering Architecture (SSEA) and Training Effectiveness for Simulations (TEfS) was established in 2015. An operational SSEA is envisioned to enable analysts to implement systems engineering procedures to achieve more effective results in predicting best system designs. Best practices from TEfS is critical to improving the predictive analyses. In this paper we describe best practices from a squad training use case and propose how the training method could be applied as a test protocol in SSEA SaaS modeling.

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previous chapter Determining the Effect of Object-Based Foveated Rendering on the Quality of Simulated Reality
next chapter Human Factors for Military Applications of Head-Worn Augmented Reality Displays
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Metadata
Title
A Test Protocol for Advancing Behavioral Modeling and Simulation in the Army Soldier Systems Engineering Architecture
Authors
Joan H. Johnston
Samantha Napier
Clay Burford
Shanell Henry
Bill Ross
Colleen Patton
Copyright Year
2019
Book
Advances in Human Factors in Simulation and Modeling

Print ISBN: 978-3-319-94222-3

Electronic ISBN: 978-3-319-94223-0

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-94223-0_5

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