Eye movement characteristics reflected fatigue development in both young and elderly individuals

Area of Science:

• Human-Computer Interaction
• Ophthalmology
• Cognitive Science

Background:

• Prolonged computer use can induce fatigue, especially in older adults.
• Understanding fatigue mechanisms is crucial for maintaining productivity and well-being.
• Eye movement characteristics offer objective indicators of cognitive and physical states.

Purpose of the Study:

• To investigate eye movement characteristics associated with fatigue during prolonged computer tasks.
• To compare fatigue development between young and elderly adults using oculometrics.
• To explore the potential of oculometrics for creating computational models of fatigue.

Main Methods:

• Recruited 20 young and 18 elderly healthy adults for a 40-minute computer task.
• Recorded eye movements, including blink duration (BD), blink frequency (BF), saccade duration (SCD), saccade peak velocity (SPV), pupil dilation range (PDR), and fixation duration (FD).
• Assessed subjective fatigue ratings and task performance (clicking speed and accuracy) across 12 segments.

Main Results:

• Fatigue was associated with increased BD, BF, and PDR, and decreased SPV and SCD over time in both age groups.
• Elderly participants exhibited longer FD, shorter SCD, and lower task performance compared to younger participants.
• Subjective fatigue ratings correlated with objective oculometric changes.

Conclusions:

• Oculometric measures provide a viable method for tracking fatigue development during computer work.
• Age-related differences in eye movement patterns indicate a greater susceptibility to fatigue in elderly individuals.
• Findings support the development of computational models using oculometrics to monitor user fatigue.