Using Existing HEI Techniques to Predict Pilot Error: A Comparison of SHERPA, HAZOP and HEIST

At the moment, there appears to be no human error identification (HEI) techniques developed specifically for use in aviation. Similarly, there appears to be very little research concerning the prediction of pilot error in the cockpit. This paper investigates the potential use of existing HEI methods for predicting pilot error and de- scribes a comparative study of three existing HEI tech- niques, SHERPA, HAZOP and HEIST when used to predict potential pilot error on an aviation landing task using the 'autoland' system. The study aims to demon- strate that existing HEI methods developed for use in highly complex systems, such as nuclear power plants and chemical processing plants, can be used effectively in an aviation context.