Mental workload has become an important research topic, as increasing demands on multitasking and decision-making can impair performance and compromise safety in domains such as aviation, surgery, and driving. Understanding when and how workload arises enables the design of adaptive systems that monitor cognitive state and automate specific actions, improving safety and reducing fatigue. To investigate cognitive variations, psychophysiological measures such as ECG, respiration, electrodermal activity, and eye tracking are often used. In this work, frontal EEG was selected as the main modality, since brain electrical activity directly reflects cognitive processing. Eight frontal electrodes were used to minimize intrusiveness and simplify sensor placement.