A Method of Error Mode Effect Analysis for a Human-Computer Interaction System in Aviation

With the development of science and technology, the automation degree and reliability of machine are getting higher and higher. On the one hand, more stringent requirements are put forward for human beings. On the other hand, human factors have also become an important factor affecting the reliability of human-machine systems, especially in the aviation field. Although there are many classification methods for error, the analysis methods are mostly from a qualitative or quantitative point view. Moreover, the research objects are mostly partial and do not combine specific mission scenarios. In this paper, a new method of EMEA based on SHERPA, CRAM and HEART has been proposed. This method not only can effectively carry out retrospective analysis of error modes, but also integrate man, machine, media and mission to identify and calculate the probability of the error mode.