An Experimental Analysis Method of Visual Performance on the Error Factors of Digital Information Interface

Abstract

As per global accident statistics, human error accounts for over 85% of accidents. Therefore, human error analysis of cognitive behavior of operators can be the key to solving information interface design problems of digital smart task monitoring interfaces. This paper proposes an analytical method based on psychological experiments introduced into task monitoring interfaces to study reactions to error factors. It uses psychological techniques to conduct experiments which evoke physiological reactions to various error factors under different sub-interfaces of the monitoring system and sub-task environments. The behavioral and eye tracking data demonstrate the association between the error factors and the information interface. Error factors arising in visual search are directly related to the layout of the task-interface, the information proximity–position, and the information features-volume. Our method opens up new approaches for design optimizations of visual information interfaces and introduces novel concepts for the introduction of interface design via error factor analysis.