Evaluation of mental load using EEG and eye movement characteristics

Area of Science:

• Neuroscience
• Human Factors Engineering
• Occupational Safety

Background:

• Mental load significantly contributes to human-induced accidents in various industries.
• Objective and subjective measures are crucial for accurately assessing mental load in operational settings.

Purpose of the Study:

• To develop a reliable assessment model for mental load.
• To identify key physiological indicators of mental load.
• To investigate individual differences in mental load responses.

Main Methods:

• An explosive impact sensitivity experiment was employed to induce mental load.
• Subjective questionnaires and objective prospective time-distance tests were utilized.
• Electroencephalography (EEG) for beta (β) and gamma (γ) bands, mean pupil diameter, and fixation time were measured.
• Statistical analysis and Principal Component Analysis (PCA) were performed.

Main Results:

• The occipital lobe demonstrated the highest sensitivity to mental load, with β and γ EEG bands being particularly indicative.
• A mental load assessment model was constructed using these key indicators.
• Significant individual variability in mental load response was observed for the same task.

Conclusions:

• The developed model offers a scientific basis for evaluating and monitoring workers' mental states.
• Findings can inform strategies to adjust mental load, thereby reducing accident rates and improving productivity.
• Understanding individual mental load responses is critical for occupational safety.