Citation

Gentili RJ, Rietschel JC, Jaquess KJ, Li-Chuan Lo, Prevost CM, Miller MW, Mohler JM, Hyuk Oh, Ying Ying Tan, Hatfield BD. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2014; 2014: 5860-5863.

Copyright

(Copyright © 2014, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/EMBC.2014.6944961

PMID

25571329

Abstract

Cognitive workload is an important element of cognitive-motor performance such as that exhibited during the piloting of an aircraft. Namely, an increase in task demands on the pilot can elevate cognitive information processing and, thus, the risk of human error. As such, there is a need to develop methods that reliably assess mental workload in pilots within operational settings. The present study contributes to this research goal by identifying physiological and brain biomarkers of cognitive workload and attentional reserve during a simulated aircraft piloting task under three progressive levels of challenge. A newly developed experimental method was employed by which electroencephalography (EEG) was acquired via a dry (i.e., gel-free sensors) system using few scalp sites. Self-reported responses to surveys and piloting performance indicators were analyzed. The findings revealed that as the challenge (task demands) increased, the perceived mental load increased, attentional reserve was attenuated, and task performance decreased. Such an increase in task demands was also reflected by changes in heart rate variability (HRV), as well as in the amplitude of the P300 component of event-related potentials to auditory probes, and in the spectral power of specific EEG frequency bands. This work provides a first step towards a long-term goal to develop a composite system of biomarkers for real-time cognitive workload assessment and state assessment of pilots in operational settings.

Language: en