ABSTRACT
The Air Force Research Laboratory, Warfighter Readiness Research Division, is continuously researching tools to measure performance of knowledge and skills from an individual level to the Command and Control (C2) level, within both high fidelity distributed simulation environments and live training environments. Using the Performance Effectiveness Tracking System (PETS), we ran preliminary testing of a metric called Pairwise Escape-G that uses a concept called the Theoretical Instantaneous Probability of Weapon Intercept (TIPWI). TIPWI takes into account the current geometry of one aircraft against another for each given weapon (i.e., the physics-based envelope parameters) and is the weapon's probability of threat intercept at any instant during an engagement. This paper will describe the initial application of the Escape G metric within the Distributed Mission Operations Testbed (four high-fidelity F-16 simulators, one Airborne Warning and Controller System console, and Instructor Operator Station), preliminary outcomes, and suggested applications for this metric.
- Brecke, F. H. and D. C. Miller. 1991. Aircrew performance measurement in the air combat maneuvering domain: A critical review of the literature. (AL-TR-1991-0042) Williams Air Force Base, AZ: Aircrew Training Research Division, Armstrong Laboratory.Google Scholar
- Brictson, C. A., A. P. Ciavarelli, K. W. Pettigrew, and P. A. Young. 1978. Performance assessment methods and criteria for the Air Combat Maneuvering Range (ACMR): Missile envelope recognition. Special Report No. 78--4 (Confidential). Pensacola, FL: Naval Aerospace Medical Research Laboratory.Google Scholar
- Dixon, K. W. 1990. The development and validation of air combat maneuvering outcome measures. Unpublished master's thesis, Arizona State University, Tempe, Arizona.Google Scholar
- Gunston, B. and M. Spick. 1983. Modern air combat: The aircraft, tactics, and weapons employed in aerial warfare today. New York: Crescent Books.Google Scholar
- Houck, M. R., L. A. Whitaker, and R. R. Kendall. 1993. An information processing classification of beyond-visual-range air intercepts. (AL/HR-TR-1993-0061). Williams Air Force Base, AZ: Aircrew Training Research Division, Armstrong Laboratory.Google Scholar
- McGuinness, J., J. M. Forbes, and J. E. Rhoads. 1984. Air combat maneuvering performance measurement system design. (AFHRL-TP-83-56) Williams Air Force Base, AZ: Operations Training Division, Armstrong Laboratory.Google Scholar
- Oberle, R. A. 1974. An air combat maneuver conversion model. (CRC 274) Office of Naval Research.Google Scholar
- Portrey, A. M. 2005. The Escape-G metric: A concise measure for air combat maneuvering performance. Unpublished master's thesis, Arizona State University, Tempe, Arizona.Google Scholar
- Proctor, R. W. and T. Van Zandt. 1994. Human factors in simple and complex systems. Boston: Allyn and Bacon.Google Scholar
- Pruitt V. R. 1973. Energy management display system for a tactical fighter (Confidential) (AAFDL-TR-73-38) Wright-Patterson Air Force Base, OH: USAF Flight Dynamics Laboratory.Google Scholar
- Pruitt, V. R. 1979. Energy management training aid for the Navy's Air Combat Maneuvering Range (ACMR) (Contract N00123--78-C-1371). St. Louis, MO: McDonnell Aircraft Co.Google Scholar
- Rogers, Y., H. Sharp, and J. Preece. 2002. Interaction design: Beyond human-computer interaction. New York: John Wiley & Sons, Inc. Google ScholarDigital Library
- Schreiber, B. T. and W. Bennett Jr. 2005. Distributed Mission Operations within-simulator training effectiveness baseline study. Volume II: Metric development and objectively quantifying the degree of learning. Manuscript in preparation.Google Scholar
- Schreiber, B. T., E. Watz, W. Bennett Jr., and A. M. Portrey. 2003. Development of a Distributed Mission Training automated performance tracking system. In Proceedings of the Behavioral Representations in Modeling and Simulation (BRIMS) Conference. Scotts-dale, AZ.Google Scholar
- Shaw, R. L. 1985. Fighter Combat: Tactics and maneuvering. Annapolis, ML: United States Naval Institute.Google Scholar
- Vreuls Research CORP. 1987. Air combat maneuvering performance measurement system for SAAC/ACMI, Volume II, Appendices 5 & 6. Wright-Patterson AFB, OH: Air Force Systems Command.Google Scholar
- Wooldridge, L., R. W. Obermayer, W. H. Nelson, M. J. Kelly, D. Vreuls, and D. A. Norman. 1982. Air combat maneuvering performance measurement state space analysis (AFHRL-TR-82-15).Google Scholar
- The pairwise Escape-G metric: a measure for air combat maneuvering performance
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