Cognitive Fatigue, Mental Fatigue, Behavioral Performance, Heart Rate Variability, Skin Conductance
Conditions
Brief summary
This study aims to examine the effects of cognitive fatigue on heart rate variability and skin conductance and develop a machine learning model.
Detailed description
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.
Interventions
5-min urban park video clip (Presented on a TV)
20-min 2-back task (Presented on a computer)
Sponsors
Study design
Eligibility
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 2-Back Task (Change) | during fatigue manipulation | Change in Accuracy over time |
| Fatigue State Questionnaire | up to 5 mins after fatigue manipulation | Fatigue State Questionnaire Score |
| Electrocardiograph (Change) | during fatigue manipulation | Change in Heart Rate Variability over time |
| Electrodermal Activity (Change) | during fatigue manipulation | Change in Skin Conductance Level over time |
Countries
Singapore