Neuroergonomic Assessment of Simulator Fidelity in an Aviation Centric Live Virtual Constructive (LVC) Application

  • Tom Schnell
  • Alex Postnikov
  • Nancy Hamel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6780)


This paper describes a recent human factors study that was performed on a flight simulator and in a fighter trainer jet aircraft to quantify the cognitive effects of simulator fidelity. There are many parameters that could be manipulated to affect physical fidelity in a simulator and we want to point out that in this study we make no claims of having covered a large portion of the possible fidelity design space. Rather, this study provides a comparison of trainee performance in a low to mid-level simulator with the performance obtained in a real fighter jet training aircraft using state-of-the-art operator state characterization equipment. As this study is ongoing, only partial data is shown in this paper.


Neurocognitive measures operator state characterization flight training 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Schnell, T.: Tools for Virtual Environment Fidelity Design Guidance: Quality of Training Effectiveness Assessment (QTEA) Tool, in Office of Naval Research, ONR Code 00, Office of Naval Research, ONR Code 00: Arlington, VA (2008)Google Scholar
  2. 2.
    Hoke, J.: Live Virtual Constructive Training. In: Proceedings of MODSIM World 2010 Conference, Human Dimension Track (2010)Google Scholar
  3. 3.
    Walker, K.: An exercise in realism (2011),
  4. 4.
    CNATRA. CNATRA 21 Strategic Vision (2010)
  5. 5.
    DoD, Department of Defense Directive on Military Training, Department of Defense, Washington, DC (2009)Google Scholar
  6. 6.
    Drake, D.L., et al.: Improving the Immersive Environment in the Virtualized Cockpit. In: Proceedings of the Fall Simulation Interoperability Workshop (SIW), Florida Mall Conference Center, Orlando, Florida (2009)Google Scholar
  7. 7.
    Sheehan, J., et al.: Human System Capabilities-Based Training System Acquisition in Naval Aviation. In: Proceedings of the Human Systems Integration Symposium 2009. American Society of Naval Engineers (2009)Google Scholar
  8. 8.
    Alexander, A., Brunye, L., Weil, T.: From Gaming to Training: A Review of Studies on Fidelity, Immersion, Presence, and Buy-in and Their Effects on Transfer in PC-Based Simulations and Games (2005);
  9. 9.
    Schnell, T., Melzer, J.E., Robbins, S.J.: The cognitive pilot helmet: enabling pilot-aware smart avionics. In: Head- and Helmet-Mounted Displays XIV: Design and Applications, SPIE, Orlando, FL, United states (2009)Google Scholar
  10. 10.
    Schnell, T., Cornwall, R., Walwanis, M., Grubb, J.: The quality of training effectiveness assessment (QTEA) tool applied to the naval aviation training context. In: Schmorrow, D.D., Estabrooke, I.V., Grootjen, M., et al. (eds.) FAC 2009. LNCS, vol. 5638, pp. 640–649. Springer, Heidelberg (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tom Schnell
    • 1
  • Alex Postnikov
    • 2
  • Nancy Hamel
    • 3
  1. 1.Operator Performance Laboratory (OPL)University of IowaIowa CityUSA
  2. 2.Advanced Technology CenterRockwell CollinsCedar RapidsUSA
  3. 3.Advanced Infoneering, Inc.Iowa CityUSA

Personalised recommendations