This study aims to examine the effects of cognitive fatigue on heart rate variability and skin conductance and develop a machine learning model.

We hypothesize that increased cognitive fatigue would vary as a function of heart rate variability and skin conductance. A machine learning model will be developed that predicts cognitive fatigue through these physiological responses (Lee et al., 2021). Individual differences (i.e., age, gender, caffeine and food intake, body mass index, skin temperature, sleep quality, baseline physiology and behavioural performance) will be examined and accounted for.

Inclusion Criteria:

• Singapore-based
• Non-clinical
• 18-35years

Exclusion Criteria:

• Individuals with hearing difficulties or failing to meet the minimal threshold for normal hearing
• Individuals with a history of ear, developmental, neurological, or psychiatric disorder