Abstract
It requires a great deal of continuous attention for operator in supervisory systems. Either lacking in vigilance or information overload may lead to human errors and result in calamitous accidents. Therefore, understanding operator mental state in supervisory task is important.Diagnosis and monitoring are the major tasks of operators in vigilance state. Operator’s mental workload influences his/her performance, and furthermore, affects the system safety and operations. This study investigated the operator’s mental workload of the supervisory task. The performance and the subjective mental workload, NASA-TLX scores as well as seven physiological indexes was assessed and measured. The results indicated that vigilance performance and physiological index are related to subjective ratings, and a regression model was constructed to estimate operator’s mental workload dynamically for further enhancing supervising safety.