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https://doi.org/10.2139/ssrn.4666281

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inferredcites →https://doi.org/10.1002/brb3.2489openalex-extracted
Evaluating mental workload during multitasking in simulated flight
inferredcites →https://doi.org/10.1007/s10111-018-0464-4openalex-extracted
The influence of task load on situation awareness and control strategy in the ATC tower environment
inferredcites →https://doi.org/10.1016/j.aei.2021.101325openalex-extracted
A human-centred approach based on functional near-infrared spectroscopy for adaptive decision-making in the air traffic control environment: A case study
inferredcites →https://doi.org/10.1016/j.aei.2023.102123openalex-extracted
Air traffic controllers' mental fatigue recognition: A multi-sensor information fusion-based deep learning approach
inferredcites →https://doi.org/10.1016/j.apergo.2018.08.028openalex-extracted
Measuring mental workload using physiological measures: A systematic review
inferredcites →https://doi.org/10.1016/j.autcon.2023.104892openalex-extracted
Electroencephalogram-based mental workload prediction for using Augmented Reality head mounted display in construction assembly: A deep learning approach
inferredcites →https://doi.org/10.1016/j.bspc.2016.11.013openalex-extracted
Cross-session classification of mental workload levels using EEG and an adaptive deep learning model
inferredcites →https://doi.org/10.1016/j.bspc.2020.101989openalex-extracted
EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm
inferredcites →https://doi.org/10.1016/j.bspc.2021.103070openalex-extracted
Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics
inferredcites →https://doi.org/10.1016/j.bspc.2021.103094openalex-extracted
Recognition of driver’s mental workload based on physiological signals, a comparative study
inferredcites →https://doi.org/10.1016/j.bspc.2022.103623openalex-extracted
Machine learning-based approach for identifying mental workload of pilots
inferredcites →https://doi.org/10.1016/j.cmpb.2023.107352openalex-extracted
Cross-task cognitive workload recognition using a dynamic residual network with attention mechanism based on neurophysiological signals
inferredcites →https://doi.org/10.1016/j.compchemeng.2020.106726openalex-extracted
Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG)
inferredcites →https://doi.org/10.1016/j.ergon.2016.05.010openalex-extracted
Air traffic control: Ocular metrics reflect cognitive complexity
inferredcites →https://doi.org/10.1016/j.eswa.2019.112988openalex-extracted
Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment
inferredcites →https://doi.org/10.1016/j.eswa.2021.114693openalex-extracted
Driver stress detection via multimodal fusion using attention-based CNN-LSTM
inferredcites →https://doi.org/10.1016/j.eswa.2023.120348openalex-extracted
Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition
inferredcites →https://doi.org/10.1016/j.eswa.2023.121729openalex-extracted
A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver’s mental load and emotional state
inferredcites →https://doi.org/10.1016/j.ijhcs.2020.102536openalex-extracted
A low-cost predictive display for teleoperation: Investigating effects on human performance and workload
inferredcites →https://doi.org/10.1016/j.knosys.2022.110179openalex-extracted
Recognising situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks
inferredcites →https://doi.org/10.1016/j.physbeh.2022.113842openalex-extracted
Cognitive performance and electroencephalographic variations in air traffic controllers under various mental workload and time of day
inferredcites →https://doi.org/10.1016/j.physd.2019.132306openalex-extracted
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
inferredcites →https://doi.org/10.1016/j.rcim.2023.102659openalex-extracted
Skeleton-RGB integrated highly similar human action prediction in human–robot collaborative assembly
inferredcites →https://doi.org/10.1016/j.ssci.2023.106295openalex-extracted
Leveraging eye-tracking technologies to promote aviation safety- A review of key aspects, challenges, and future perspectives
inferredcites →https://doi.org/10.1080/00140139.2021.2016998openalex-extracted
Task difficulty and physiological measures of mental workload in air traffic control: a scoping review
inferredcites →https://doi.org/10.1080/2326263x.2017.1304020openalex-extracted
Mental workload classification with concurrent electroencephalography and functional near-infrared spectroscopy
inferredcites →https://doi.org/10.1109/tcds.2021.3090217openalex-extracted
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review
inferredcites →https://doi.org/10.1109/tcds.2021.3114162openalex-extracted
Predicting Secondary Task Performance: A Directly Actionable Metric for Cognitive Overload Detection
inferredcites →https://doi.org/10.1109/tcyb.2018.2797176openalex-extracted
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions
inferredcites →https://doi.org/10.1109/tie.2023.3288182openalex-extracted
Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion
inferredcites →https://doi.org/10.1109/tim.2021.3053992openalex-extracted
Dual Attention-Based Temporal Convolutional Network for Fault Prognosis Under Time-Varying Operating Conditions
inferredcites →https://doi.org/10.1109/tits.2023.3316203openalex-extracted
Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach
inferredcites →https://doi.org/10.1109/tiv.2019.2960946openalex-extracted
Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals
inferredcites →https://doi.org/10.1109/tnsre.2017.2701002openalex-extracted
Task-Independent Mental Workload Classification Based Upon Common Multiband EEG Cortical Connectivity
inferredcites →https://doi.org/10.1109/tnsre.2022.3157446openalex-extracted
Unraveling the Physiological Correlates of Mental Workload Variations in Tracking and Collision Prediction Tasks
inferredcites →https://doi.org/10.1142/s0218001422590352openalex-extracted
Mental Workload Artificial Intelligence Assessment of Pilots’ EEG Based on Multi-Dimensional Data Fusion and LSTM with Attention Mechanism Model
inferredcites →https://doi.org/10.1145/2556288.2557068openalex-extracted
Classifying driver workload using physiological and driving performance data
inferredcites →https://doi.org/10.1177/0018720819874544openalex-extracted
Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training
inferredcites →https://doi.org/10.1177/154193120605000909openalex-extracted
Nasa-Task Load Index (NASA-TLX); 20 Years Later
inferredcites →https://doi.org/10.2139/ssrn.4341618openalex-extracted
inferredcites →https://doi.org/10.23890/ijast.vm02is01.0104openalex-extracted
Overview of Studies on the Cognitive Workload of the Air Traffic Controller
inferredcites →https://doi.org/10.3389/fnhum.2017.00264openalex-extracted
EEG and Eye Tracking Signatures of Target Encoding during Structured Visual Search
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