Human-machine interface evaluation of CNC machine control panel through multidimensional experimental data synchronous testing analysis method

Abstract

Human-Machine Interface (HMI) of Computer Numerical Control (CNC) machine control panel affects the work efficiency and experience of users. For many operators, the CNC machine control panel causes a heavy burden for them because it is not easy to use. The designer creates the shape, color and layout of CNC machine control panel to meet the user's needs. There is some design schemes produced for managers or designers to make choices. Effective design evaluation can help the designer find usability issues of human-machine interface and iterative optimization schemes. In this study, a practical exploration relating to HMI of CNC machine control panel was carried out using the multidimensional experimental data synchronous testing analysis method. Four HMI design schemes of CNC machine control panel were evaluated. The physiological measurement instruments, eye tracker and behavior analyzer were adopted to obtain the user's physiological data, psychological data and behavioral data. Scientific statistical results were formed and output by visualization. The designer can choose the best schemes and find the design elements to be improved by this mutually validating method. It's helpful for the designer to improve the ergonomics of human-machine interface design of CNC machine control panel.