Abstract

In this study, a multitask dynamic testing measure concerning meters was developed using the virtual meter design software GL Studio in order to measure mental workload under multitasks. We recorded subjects’ electroencephalogram (EEG) and analyzed their brain electrical data using spectrum methods, brain maps, independent component analysis (ICA), and Lempel-Ziv complexity (LZC) calculation. The experimental results showed that the methods appeared to be more motivated on the parietal and occipital lobe of the brain. Besides, in the corresponding channels, theta, alpha and beta brainwave frequencies were found to be significantly motivated. LZC was also considered as a powerful tool in evaluating mental workload, whose value has a close connection with mental workload. This research provided a referable experiment design and analysis for studies on the assessment of mental workload under multitasks.

Key words: Human-machine interface, mental workload, visual cognitive, meters, multitasks.