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Accession Number N20130008649
Title Physiological Based Simulator Fidelity Design Guidance.
Publication Date Mar 2012
Media Count 10p
Personal Author A. Postnikov A. L. M. T. McLean J. Hoke N. Hamel T. Schnell
Abstract The evolution of the role of flight simulation has reinforced assumptions in aviation that the degree of realism in a simulation system directly correlates to the training benefit, i.e., more fidelity is always better. The construct of fidelity has several dimensions, including physical fidelity, functional fidelity, and cognitive fidelity. Interaction of different fidelity dimensions has an impact on trainee immersion, presence, and transfer of training. This paper discusses research results of a recent study that investigated if physiological-based methods could be used to determine the required level of simulator fidelity. Pilots performed a relatively complex flight task consisting of mission task elements of various levels of difficulty in a fixed base flight simulator and a real fighter jet trainer aircraft. Flight runs were performed using one forward visual channel of 40 deg. field of view for the lowest level of fidelity, 120 deg. field of view for the middle level of fidelity, and unrestricted field of view and full dynamic acceleration in the real airplane. Neuro-cognitive and physiological measures were collected under these conditions using the Cognitive Avionics Tool Set (CATS) and nonlinear closed form models for workload prediction were generated based on these data for the various mission task elements. One finding of the work described herein is that simple heart rate is a relatively good predictor of cognitive workload, even for short tasks with dynamic changes in cognitive loading. Additionally, we found that models that used a wide range of physiological and neuro-cognitive measures can further boost the accuracy of the workload prediction.
Keywords Education
Flight simulation
Flight simulators
Physiology
Pilot training
Students
Workloads(Psychophysiology)


 
Source Agency National Aeronautics and Space Administration
NTIS Subject Category 72 - Mathematical Sciences
92A - Job Training & Career Development
51F - Test Facilities & Equipment
57W - Stress Physiology
95D - Human Factors Engineering
Corporate Author National Aeronautics and Space Administration, Hampton, VA. Langley Research Center.
Document Type Conference proceedings
Title Note N/A
NTIS Issue Number 1318
Contract Number N/A

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