A neuroergonomics approach to mental workload, engagement and human performance

F Dehais, A Lafont, R Roy, S Fairclough - Frontiers in neuroscience, 2020 - frontiersin.org
The assessment and prediction of cognitive performance is a key issue for any discipline
concerned with human operators in the context of safety-critical behavior. Most of the …

Passive BCI beyond the lab: current trends and future directions

P Aricò, G Borghini, G Di Flumeri… - Physiological …, 2018 - iopscience.iop.org
Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …

[LIBRO][B] Brain–computer interfaces handbook: technological and theoretical advances

CS Nam, A Nijholt, F Lotte - 2018 - books.google.com
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …

EEG-based BCI and video games: a progress report

B Kerous, F Skola, F Liarokapis - Virtual Reality, 2018 - Springer
This paper presents a systematic review of electroencephalography (EEG)-based brain–
computer interfaces (BCIs) used in the video games, a vibrant field of research that touches …

Monitoring pilot's mental workload using ERPs and spectral power with a six-dry-electrode EEG system in real flight conditions

F Dehais, A Duprès, S Blum, N Drougard, S Scannella… - Sensors, 2019 - mdpi.com
Recent technological progress has allowed the development of low-cost and highly portable
brain sensors such as pre-amplified dry-electrodes to measure cognitive activity out of the …

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 …

Adapting visual complexity based on electrodermal activity improves working memory performance in virtual reality

F Chiossi, Y Turgut, R Welsch, S Mayer - Proceedings of the ACM on …, 2023 - dl.acm.org
Biocybernetic loops encompass users' state detection and system adaptation based on
physiological signals. Current adaptive systems limit the adaptation to task features such as …

Virtual reality adaptation using electrodermal activity to support the user experience

F Chiossi, R Welsch, S Villa, L Chuang… - Big Data and Cognitive …, 2022 - mdpi.com
Virtual reality is increasingly used for tasks such as work and education. Thus, rendering
scenarios that do not interfere with such goals and deplete user experience are becoming …

Estimating cognitive workload in an interactive virtual reality environment using EEG

C Tremmel, C Herff, T Sato, K Rechowicz… - Frontiers in human …, 2019 - frontiersin.org
With the recent surge of affordable, high-performance virtual reality (VR) headsets, there is
unlimited potential for applications ranging from education, to training, to entertainment, to …

EEG-based prediction of cognitive load in intelligence tests

N Friedman, T Fekete, K Gal, O Shriki - Frontiers in human …, 2019 - frontiersin.org
Measuring and assessing the cognitive load associated with different tasks is crucial for
many applications, from the design of instructional materials to monitoring the mental well …