Electroencephalographic workload indicators during teleoperation of an unmanned aerial vehicle shepherding a swarm of unmanned ground vehicles in contested …

R Fernandez Rojas, E Debie, J Fidock… - Frontiers in …, 2020 - frontiersin.org
Background: Although many electroencephalographic (EEG) indicators have been
proposed in the literature, it is unclear which of the power bands and various indices are …

Using theta and alpha band power to assess cognitive workload in multitasking environments

S Puma, N Matton, PV Paubel, É Raufaste… - International Journal of …, 2018 - Elsevier
Cognitive workload is of central importance in the fields of human factors and ergonomics. A
reliable measurement of cognitive workload could allow for improvements in human …

A human-autonomy teaming approach for a flight-following task

SL Brandt, J Lachter, R Russell, RJ Shively - … in Neuroergonomics and …, 2018 - Springer
Human involvement with increasingly autonomous systems must adjust to allow for a more
dynamic relationship involving cooperation and teamwork. As part of an ongoing project to …

Brain biomarkers based assessment of cognitive workload in pilots under various task demands

RJ Gentili, JC Rietschel, KJ Jaquess… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
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 …

Towards a real-time cognitive load assessment system for industrial human-robot cooperation

A Rajavenkatanarayanan… - 2020 29th IEEE …, 2020 - ieeexplore.ieee.org
Robots are increasingly present in environments shared with humans. Robots can
cooperate with their human teammates to achieve common goals and complete tasks. This …

Avionic technology testing by using a cognitive neurometric index: a study with professional helicopter pilots

G Borghini, P Aricò, G Di Flumeri… - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
In this study, we investigated the possibility to evaluate the impact of different avionic
technologies on the mental workload of helicopter's pilots by measuring their brain activity …

Using machine learning methods and EEG to discriminate aircraft pilot cognitive workload during flight

H Taheri Gorji, N Wilson, J VanBree, B Hoffmann… - Scientific Reports, 2023 - nature.com
Pilots of aircraft face varying degrees of cognitive workload even during normal flight
operations. Periods of low cognitive workload may be followed by periods of high cognitive …

On the use of cognitive neurometric indexes in aeronautic and air traffic management environments

G Di Flumeri, G Borghini, P Aricò, A Colosimo… - … , Symbiotic 2015, Berlin …, 2015 - Springer
In this paper the use of neurophysiological indexes for an objective evaluation of mental
workload, during an ecological Air Traffic Management (ATM) task, has been proposed. Six …

Adaptive human-robot interactions for multiple unmanned aerial vehicles

Y Lim, N Pongsakornsathien, A Gardi, R Sabatini… - Robotics, 2021 - mdpi.com
Advances in unmanned aircraft systems (UAS) have paved the way for progressively higher
levels of intelligence and autonomy, supporting new modes of operation, such as the one-to …

Recognition of the mental workloads of pilots in the cockpit using EEG signals

A Hernández-Sabaté, J Yauri, P Folch, MÀ Piera… - Applied Sciences, 2022 - mdpi.com
The commercial flightdeck is a naturally multi-tasking work environment, one in which
interruptions are frequent come in various forms, contributing in many cases to aviation …