The long-term negative consequences of inappropriate mental workload on employee health constitute a serious problem for a digitalized society. Continuous, objective assessment of mental workload can provide an essential contribution to the identification of such improper load. Recent developments in sensor technology and in the development of algorithmic methods for biosignal processing yield the fundament of the metrological determination of mental workload.An advantage of neuronal workload measurement is that workload registration is located directly there where human information processing takes place, namely the brain. Preliminary studies for the development of a method for neuronal workload registration have already been carried out (Raduentz, 2015). The practice-oriented application of these findings is promising, especially if the method can be combined with the innovative technologies of gel free EEG registration and wireless signal transmission. At the same time the method developed for assessing mental workload on the basis of the EEG must be evaluated and its reliability must be examined with respect to several conditions in realistic environments. Hence, the project is structured into two subprojects. Main subject of subproject 1 are experimental studies on the usability of commercially-oriented EEG systems for mobile field use and system selection for the future work. Main subject of subproject 2 is offline testing of the continuous method for neuronal mental workload registration of air-traffic controllers during arrival management simulation.
Unit 3.4 "Mental Health and Cognitive Capacity"