Human–computer interaction analysis and prediction for task operating system based on goms model

Abstract

Objective—In view of the current application status for special vehicles, along with increasing functions of task operating system interface, the operation mode and interactive information are becoming more and more complex. In order to achieve the purpose of optimizing the display-control interface scheme, a human–computer interaction analysis method facing to task operating system is proposed. Methods—Combined with the actual special vehicle tasks, quantitative analysis and prediction of human–computer interaction process of task operating system interface are performed using the principle of GOMS model. In addition, the verification experiment is also carried out based on the task simulation platform system of special vehicle. Results—The validity of the proposed quantitative analysis method based on GOMS model is proved by the results analysis of the verification experiment. At the same time, it is concluded that there exists a linear relationship between the task completion time and subjective workload in the current test task. Conclusions—The analysis results can be used in the ergonomics evaluation for task operating system interface and provide reference for the future interface design and optimization.