Quantitative pilot evaluation during training

A method of pilot training, the method comprising:

• receiving, at a device, sensor data and aircraft state data from a flight simulator, wherein the sensor data comprises pilot activity data and motion data, and wherein the motion data is indicative of detected motion of a simulated aircraft of the flight simulator;
• adjusting, at the device, one or more computational models of at least one human sensory system based on an experience level associated with a pilot using the flight simulator;
• processing, at the device, the motion data and the pilot activity data based on the experience level and based on the one or more computational models to predict a pilot estimated aircraft state;
• determining, at the device, an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state, wherein the aircraft state data indicates the detected aircraft state;
• determining a probability that a confidence indicator indicates a confidence in the estimated error;
• in response to a determination that the probability is greater than a confidence threshold, determining that the estimated error exceeds an error threshold value, wherein the error threshold value is based on the experience level;
• and
• providing the estimated error to a trainer associated with the flight simulator via a second device to enable the trainer to provide one or more instructions to a user of the flight simulator during use of the flight simulator based on the estimated error exceeding the error threshold value, wherein the one or more instructions comprise an instruction to more frequently observe one or more components of an instrument display.

A computer-readable storage device storing instructions that, when executed by one or more processors, cause the one or more processors to initiate, perform, or control operations to:

• receive sensor data and aircraft state data from a flight simulator, wherein the sensor data comprises pilot activity data of a pilot and motion data, and wherein the motion data is indicative of detected motion of a simulated aircraft of the flight simulator;
• adjust one or more computational models based on an experience level of the pilot;
• process the motion data and the pilot activity data based on the experience level and based on one or more computational models to predict a pilot estimated aircraft state;
• determine an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state, wherein the aircraft state data indicates the detected aircraft state;
• determine a probability that a confidence indicator indicates a confidence in the estimated error;
• in response to a determination that the probability is greater than a confidence threshold, determine that the estimated error exceeds an error threshold value, wherein the error threshold value is based on the experience level;
• and
• provide the estimated error to a trainer associated with the flight simulator via a device to enable the trainer to provide one or more instructions to a user of the flight simulator during use of the flight simulator based on the estimated error exceeding that error threshold value, wherein the one or more instructions comprise an instruction to more frequently observe one or more components of an instrument display.