The challenges of measuring transfer of stall recovery training

Airline pilots will soon be required to perform full stall recovery training in simulators. However, flight simulators currently used for pilot training do not represent aircraft behavior in upset situations that take the aircraft out of its normal flight envelope. Post-stall aircraft models need to be implemented to correctly simulate the aircraft response after the stall point. In addition, motion cues need to adequately represent this response to ensure the skills learned in simulator training are directly usable in real flight. This paper will discuss stall recognition and recovery training and why motion is important. Next, we discuss why subjective and traditional outcome-based measures are less effective to measure transfer of stall recovery training and propose to use a measure based on a cybernetic approach that captures how pilots´ use of visual and motion cues develops during training.