Human factors and neurophysiological metrics in air traffic control: a critical review
This paper provides a focused and organized review of the research progress on
neurophysiological indicators, also called “neurometrics,” to show how they can effectively …
neurophysiological indicators, also called “neurometrics,” to show how they can effectively …
Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain …
According to Cognitive Load Theory (CLT), one of the crucial factors for successful learning
is the type and amount of working-memory load (WML) learners experience while studying …
is the type and amount of working-memory load (WML) learners experience while studying …
Efficient mental workload estimation using task-independent EEG features
RN Roy, S Charbonnier, A Campagne… - Journal of neural …, 2016 - iopscience.iop.org
Objective. Mental workload is frequently estimated by EEG-based mental state monitoring
systems. Usually, these systems use spectral markers and event-related potentials (ERPs) …
systems. Usually, these systems use spectral markers and event-related potentials (ERPs) …
Hybrid fNIRS-EEG based classification of auditory and visual perception processes
For multimodal Human-Computer Interaction (HCI), it is very useful to identify the modalities
on which the user is currently processing information. This would enable a system to select …
on which the user is currently processing information. This would enable a system to select …
In a heart beat: Using driver's physiological changes to determine the quality of a takeover in highly automated vehicles
MT Alrefaie, S Summerskill, TW Jackon - Accident Analysis & Prevention, 2019 - Elsevier
Developing conditionally automated driving systems is on the rise. Vehicles with full
longitudinal and latitudinal control will allow drivers to engage in secondary tasks without …
longitudinal and latitudinal control will allow drivers to engage in secondary tasks without …
Dual frequency head maps: A new method for indexing mental workload continuously during execution of cognitive tasks
T Radüntz - Frontiers in physiology, 2017 - frontiersin.org
One goal of advanced information and communication technology is to simplify work.
However, there is growing consensus regarding the negative consequences of …
However, there is growing consensus regarding the negative consequences of …
Modeling mental workload using EEG features for intelligent systems
Endowing systems with abilities to assess a user's mental state in an operational
environment could be useful to improve communication and interaction methods. In this …
environment could be useful to improve communication and interaction methods. In this …
Connecting the dots: Exploring brain connectivity during responsibility recognition in construction contract negotiations
X Wei, PC Liao - Computers in Biology and Medicine, 2024 - Elsevier
Despite recent advancements in monitoring brain activity, causal relationships within the
brain during responsibility identification in construction contracts remain unexplored. We …
brain during responsibility identification in construction contracts remain unexplored. We …
EEG-based mental workload recognition related to multitasking
Mental workload can be recognized from Electroencephalogram (EEG) and can be used to
assess mental efforts of the user performing different tasks. In this work, we designed and …
assess mental efforts of the user performing different tasks. In this work, we designed and …
Electroencephalography amplitude modulation analysis for automated affective tagging of music video clips
The quantity of music content is rapidly increasing and automated affective tagging of music
video clips can enable the development of intelligent retrieval, music recommendation …
video clips can enable the development of intelligent retrieval, music recommendation …