TY  - JOUR
PY  - 2018//
TI  - An improved model to predict performance under mental fatigue
JO  - Ergonomics
A1  - Peng, Henry T.
A1  - Bouak, Fethi
A1  - Wang, Wenbi
A1  - Chow, Renee
A1  - Vartanian, Oshin
SP  - 988
EP  - 1003
VL  - 61
IS  - 7
N2  - Fatigue has become an increasing problem in our modern society. Using MATLAB as a generic modeling tool, a fatigue model was developed based on an existing one and compared with a commercial fatigue software for prediction of cognitive performance under total and partial sleep deprivation. The flexibility of our fatigue model allowed additions of new algorithms and mechanisms for non-sleep factors and countermeasures and thus improved model predictions and usability for both civilian and military applications. This was demonstrated by model simulations of various scenarios and comparison with experimental studies. Our future work will be focused on model validation and integration with other modeling tools. Practitioner Summary Mental fatigue affects healthy, safety and quality of life in our modern society. In this paper, we reported a cognitive fatigue model based on existing models with newly incorporated components taking both the operator's state of alertness and task demand into account. The model provided the additional capability for prediction of cognitive performance in scenarios involving pharmaceutical countermeasures, different task demands and shift work.<p />  <p>Language: en</p>
LA  - en
SN  - 0014-0139
UR  - http://dx.doi.org/10.1080/00140139.2017.1417641
ID  - ref1
ER  -