Correlation Between Error Factors, Visual Perception, and Interface Layout — Taking Digital Instrument Control Equipment of Nuclear Power Safety Injection System as an Optimization Example

Abstract

One of the effective ways to improve task performance is to trace the sources of the task failures, that is, error factors, and take them into consideration for the optimization design of the system interactive interface. In this study, the digital instrument control equipment of a nuclear power safety injection system plant was taken as an example to construct an error factor–visual perception–interface layout (EF–VP–IL) correlation model. The visual perception intensity (VPI) levels in the functional sections of the interface were obtained by extracting the error factors and performing weight analysis on each functional section. A set of optimal solutions of the interface layout was obtained using the genetic algorithm, and the interface layout was optimized accordingly. The calculation results showed that the proposed method increased the visual communication index (VCI) of the original interface from [Formula: see text] to [Formula: see text] after optimization, which is an improvement of 23.36%.