ABSTRACT
Experts in human factors engineering and applied cognitive research are in search of reliable measures for the online monitoring of mental workload [MW] during active working. Due to the limitations associated with subjective and performance measures, researchers have turned their attention to oculomotor indices . We present data from an ongoing research project on the evaluation of MW evaluation from saccadic peak velocity [PV] . Participants were tested in a complex experimental setting s imulating typical air-traffic control (ATC) tasks . Changes in MW were evaluated with a multidimensional methodology, using subj ective ratings, behavioral indices and saccadic dynamics data. Comparison of our results with the literature suggests that PV shows sensitivity in the real-time detection of differences in mental state and is a strong candidate for the online diagnosis of operator under or over-load in the workplace.
