Applied cognition and training research to address emerging military requirements

Denise Nicholson; Clint Bowers; Larry Davis; Cali Fidopiastis

doi:10.1117/12.720104

10 May 2007 Applied cognition and training research to address emerging military requirements

Denise Nicholson, Clint Bowers, Larry Davis, Cali Fidopiastis

Proceedings Volume 6564, Modeling and Simulation for Military Operations II; 65640F (2007) https://doi.org/10.1117/12.720104
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Modeling, Simulation and Training (MS&T) technologies have provided significant capabilities for Military training and mission rehearsal. However, most of the state-of-the-art MS&T systems used today are high fidelity, stand alone systems, routinely staffed by a team of support and instructional personnel. As the military becomes more reliant on these technologies to support ever changing concepts of operations, they are asking for numerous technological advancements including 1) automated instructional features to reduce the number of personnel required for exercises, 2) increased capability for adaptation of human computer interfaces to support individual differences and embedded performance support in operational settings, and 3) a continuum of low to high fidelity system components to provide embedded, deployable and transportable solutions. A multi-disciplinary team of researchers at the University of Central Florida's (UCF) Institute for Simulation and Training (IST) Applied Cognition and Training in Immersive Virtual Environments Lab (ACTIVE), lead by Dr. Denise Nicholson, is performing research and development to address these emerging requirements as part of on-going projects for Navy, Marine Corps and Army customers. In this paper we will discuss some of the challenges that confront researchers in this area and how the ACTIVE lab hopes to respond to these challenges.

Citation Download Citation

Denise Nicholson, Clint Bowers, Larry Davis, and Cali Fidopiastis "Applied cognition and training research to address emerging military requirements", Proc. SPIE 6564, Modeling and Simulation for Military Operations II, 65640F (10 May 2007); https://doi.org/10.1117/12.720104

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KEYWORDS

Cognition

Reliability

Electroencephalography

Human-machine interfaces

Mathematical modeling

Systems modeling

Data modeling

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