Validation and research of the Three-Process Model of Alertness regulation predictions

Purpose: Collecting and analyzing experimental data with the method of subjective scale. Established trend curve of alertness versus time and the Three-Process Model of Alertness regulation with specific population. Method: tracking the life of 12 subjects 3 days, getting the alertness data and the trend of alertness level, then comparing and verifying it with the trend of the Three-Process Model of Alertness regulation predictions. Conclusion: After comparing the model predictions data with experimental data, it was found that the model prediction results and experimental results have a strong correlation proved that and the model is valid. The trend of the model alertness level predictions and experiment alertness is similar. But there are some difference between alertness level peak and the speed of development. The Three-Process Model of Alertness regulation could be improved in adaptive to different specific population.