A Method for Cockpit Human-Machine Interface Assessment Based on Human Error Analysis

With technological advancements and increased automation, many traditional mechanical failures have been effectively prevented and resolved, but human errors remain difficult to completely avoid. New technologies and highly integrated complex designs are continuously being introduced into the cockpit, presenting new challenges for cockpit operations. Advanced human-machine interface designs that lack consideration for human factors may, paradoxically, increase the risk of operational errors by the crew, affecting operational efficiency and potentially threatening flight safety. Therefore, it is crucial to fully consider human factors in cockpit human-machine interface design, identify potential design traps that may lead to human errors, optimize the design accordingly, and thereby improve crew operational efficiency and flight safety. This paper proposes a systematic, structured assessment method for civil aircraft cockpit human-machine interfaces based on human error analysis. This method analyzes the cockpit human-machine interface by predicting human errors caused by or related to the design and assesses the adequacy and effectiveness of the cockpit human-machine interface in managing crew errors. It aims to help designers identify potential deficiencies in the cockpit human-machine interface design and enables programs to understand and manage potential human error effects, understand the relative risks and uncertainties within the system design, and influence decisions throughout the system lifecycle. And this method is good at standardization of Cockpit HMI human error analysis during CS 25.1302 compliance demonstration practices.