An Interface Analysis Method of Complex Information System by Introducing Error Factors

With the rapid developments of computer technology and information technology, human-machine interfaces of aircrafts, ships, nuclear power plants, battlefield command system, and other complex information systems have evolved from the traditional control mode to digital control mode with visual information interface. This paper studies error factors of information interface in human-computer interaction based on visual cognition theory. A feasible error-cognition model is established to solve some design problems which result in serious failures in information recognition and analysis, and even in operation and execution processes. Based on Rasmussen, Norman, Reason and other error types as well as the HERA and CREAM failure identification models, we performed classification and cognitive characterization for error factors according to information search, information recognition, information identification, information selection and judgment as well as the decision-making process and obtained the comprehensive error-cognition model for complex information interface.