Sequence Compression and Alignment-Based Process Alarm Prediction

L Bántay, N Sas, G Dörgő… - Industrial & Engineering …, 2023 - ACS Publications
With the increasing complexity of production technologies, alarm management becomes
more and more important in industrial process control. The overall safety of the plant relies …

Effects of Sleep Deprivation on Performance during a Change Signal Task with Adaptive Dynamics

KA Honn, MB Morris, ML Jackson, HPA Van Dongen… - Brain Sciences, 2023 - mdpi.com
Augmented cognition, which refers to real-time modifications to a human–system interface to
improve performance and includes dynamic task environments with automated adaptations …

An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems

S Zhang, J Song - Frontiers in Digital Health, 2024 - frontiersin.org
Background With the continuous advancement of digital technologies, electronic Personal
Health Records (ePHR) offer end-users greater control and convenience over their health …

Dynamic influence diagram-based deep reinforcement learning framework and application for decision support for operators in control rooms

J Mietkiewicz, AN Abbas, CW Amazu, AL Madsen… - 2023 - arrow.tudublin.ie
In today's complex industrial environment, operators are often faced with challenging
situations that require quick and accurate decision-making. The human-machine interface …

[PDF][PDF] Labeling mental fatigue for passive BCI applications: Accuracy vs applicability tradeoff

MF Hinss, ES Jahanpour, AM Brock, RN Roy - BCI meeting, 2023 - hal.science
Methods: Data from 13 participants performing a 60-minute visual search task was recorded
using a 64-electrode EEG setup. The data was preprocessed, either filtering out any motor …

Adaptive System to Enhance Operator Engagement during Smart Manufacturing Work

L Couture, M Passalacqua, L Joblot, F Magnani… - Sensors & …, 2024 - hal.science
Sustaining optimal task engagement is becoming vital in smart factories, where
manufacturing operators' roles are increasingly shifting from hands-on machinery tasks to …

A Window into the Mind? On Usefulness and Challenges of Neurophysiological Measurements in the Cockpit

A Hamann, N Carstengerdes - … of Measuring Behavior 2024, the 13th …, 2024 - elib.dlr.de
Neurophysiological measurements seem a powerful tool for investigating pilots' cognitive
states. Such measurements need to be reliable and valid in order to gain interpretable and …

[PDF][PDF] A systematic investigation of EEG and fNIRS measures for the assessment of mental workload in the cockpit

A Hamann - 2023 - researchgate.net
Assessing the pilot's cognitive state is of increasing importance in aviation, especially for the
development of adaptive assistance systems. For this purpose, the assessment of mental …

EEG-BASED PERFORMANCE ESTIMATION DURING A REALISTIC DRONE PILOTING TASK

MF Hinss, VM Vitale, A Brock, R Roy - Graz BCI-9th Graz Brain …, 2024 - hal.science
Passive brain-computer interfaces (pBCIs) developed within the neuroergonomic field
usually aim to improve safety by augmenting human-machine interaction. To accomplish …

Etude et caractérisation de la fatigue mentale et de la flexibilité cognitive dans le contexte des opérations drone longue endurance

MF Hinss, A Brock, R Roy - ÉPIQUE 2023-12ème Colloque de …, 2023 - enac.hal.science
L'opération de drones, que ce soit dans des contextes militaires ou civils, devient plus
commune. Les phases d'opérations dépassent fréquemment les 24h. En conséquence, la …