pupillometry

Pupil-diameter measurement (subset of eye_tracker; flagged separately for relevance).

1057 papers carry this instruments & measures tag, of 9327 that declare a instruments & measures at all (62594 papers carry any topic). Absence here means undeclared, not absent.

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Papers

Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

Real-time monitoring of driver cognitive states: linking driving behavior to neural oscillations ↗ · 2026 · Alyan, Emad et al.
Real-Time Cognitive Load Measurement of Pupillary Oscillation ↗ · 2026 · Duchowski, Andrew
Multimodal Cognitive Load Estimation With Radio Frequency Sensing and Pupillometry in Complex Auditory Environments ↗ · 2026 · Anwar, Usman et al.
Mental workload classification using EEG in drivers: A personalized approach to occupational risk reduction ↗ · 2026 · Atici-Ulusu, Hilal et al.
Comprehensive Modeling and Evaluation of Workload in Driving Simulation Using the VACP Paradigm · 2026 · Aygun, Ayca et al.
Cross-modal cognitive workload estimation in driving simulation: CCI–pupil coherence, vestibular mediation, and a multimodal workload index across five washout algorithm conditions ↗ · 2026 · Aykent, Baris
The dynamics of driving performance in non-optimal human states: Drowsiness, high cognitive load, and acute stress ↗ · 2026 · Bakhchina, Anastasiia Vladimirovna et al.
Tracking risk-taking behind the wheel: Which indicator of risky driving is the most useful in driving simulator studies? A pilot study. · 2026 · Baran P et al.
Comparing Eye-Tracking Metrics with the Driver Activity Load Index ↗ · 2026 · Bend, Julia et al.
Effects of Road Geometry and Driving Automation on Pupil Diameter: Evidence from a Simulated Driving Study ↗ · 2026 · Bosurgi, Gaetano et al.
A comparative study on the effects of mind-wandering, distraction, and fatigue on driving performance and physiological responses ↗ · 2026 · Chen, Jingrui et al.
Effects of visual warnings on guiding attention during distracted driving ↗ · 2026 · Chihara, Takanori et al.
Cross-Environment Consistency of Driver Vigilance Under Visual Restriction: Eye-Tracking Evidence from Real and Simulated Driving ↗ · 2026 · Ding, Jie et al.
Vocal Instability as a Sensitive Biomarker for Driving Stress: Decoupling Cognitive Load and Environmental Friction in a Real-World Dual-Task Protocol · 2026 · Doğan, Dağhan
An experiment to explore the sensitivity of measuring mental effort by applying pupillometry and blink rate to task difficulty levels ↗ · 2026 · Dutka, Krisztian et al.
Driver mental workload measurement trends and cognitive impacts: a literature review ↗ · 2026 · Faidah, Uyun Nadzirotul et al.
Pupil size reveals the cognitive load involved in processing rhythmic stimuli of various tempi and complexity ↗ · 2026 · Fontaine, Elena et al.
Applying Adaptive Gain Theory to Pupillary Dynamics During Hands-Off L2 Driving Under High Cognitive Load ↗ · 2026 · Goodridge, Courtney Michael et al.
Multimodal Assessment of Pilot Cognitive Workload Using ECG and Eye-Tracking Features in Simulated Flight Tasks · 2026 · Guan, Yixuan et al.
The interactive effects of NDRT cognitive complexity and traffic density on takeover performance in level 3 automated driving: a multimodal EEG and behavioral study ↗ · 2026 · Guo, Qi et al.
Examining physiological parameters of mental workload in the cockpit: a multimethod approach · 2026 · Hamann, Anneke et al.
Driver State Classification: Identifying High Cognitive Load and Drowsiness Through Driver Performance · 2026 · Ayas, Suzan et al.
Understanding the risk factors of driving dilemmas at urban tunnel exits adjoining diverging areas: A naturalistic study ↗ · 2026 · He, Shiming et al.
Cognitive state monitoring for neuroadaptive information visualization · 2026 · Idesis, Sebastian et al.
Automated Pupil Dilation Tracking System Using Computer Vision for Task-Evoked Pupillary Response Analysis: A Low-Cost System Feasibility Study ↗ · 2026 · Jasińska, Hanna et al.
Effects of Working Memory Capacity and Search Task Complexity on Cognitive Load ↗ · 2026 · Jayawardena, Gavindya et al.
Assessment of cyclists' cognitive workload through eye tracker and EEG sensors: Sensitivity to individual and external factors in a real-world experiment ↗ · 2026 · Kchour, Fatima et al.
Cognitive Stress Responses During an N-Back Task: Pupillary Dynamics and Salivary Alpha-Amylase Activity ↗ · 2026 · Kuroiwa, Toshihiko et al.
Impact of cognitive load on pupil dilation: A comparative study of young and older adults ↗ · 2026 · Lenain, Manon et al.
Effects of Driving Task Demands and Information Load on AR-HUD Cognitive Efficiency: The Moderating Role of Working Memory Capacity in a VR-Based Simulated Driving Environment. ↗ · 2026 · Li J et al.
Eye-Tracking-Based Evaluation of Cognitive Style and Driving Task Effects on AR-HUD Navigation Interfaces ↗ · 2026 · Li, Jing et al.
Characterizing alterations in attention networks under high mental workload · 2026 · Wu, Lin et al.
Using psychophysiological metrics for understanding drivers’ mental workload and visual attention when overtaking automated truck platoons ↗ · 2026 · Lin, Zijian et al.
Assessing cognitive load in navigation tasks through EEG: Spatio-temporal multi-scale analysis ↗ · 2026 · Liu, Yixin et al.
Driver Takeover Performance under Different Driving Contexts and Non-Driving Tasks in Level 3 Automated Driving · 2026 · Liu, Meiqi et al.
Visual Load Evaluation Model of Multi-view Monitoring Task Operator ↗ · 2026 · Liu, Zhongqi et al.
Drivers’ Psycho-Physiology Characteristics and Workload Identification in Prairie Highway Work Zones ↗ · 2026 · Lyu, Zhen et al.
Research on Distracted Driving State Recognition and Its Impact Using an Ensemble Learning Model Based on Multimodal Information Fusion ↗ · 2026 · Ma, Dezhong et al.
The Chain of Visual Factors, Visual Characteristics, and Driving Behavior at Highway Tunnel Entrances ↗ · 2026 · Ma, Yanpeng et al.
Assessing the validity of situation awareness measures through visual behaviours in car driving: A comprehensive review ↗ · 2026 · Pelerin, Maëlle et al.
The impact of guide sign informational density on driver cognitive load: An integrated simulator and real-world driving study ↗ · 2026 · Meng, Yunwei et al.
Exploring the Dynamic Interplay of Cognitive Load and Emotional Arousal by Using Multimodal Measurements: Correlation of Pupil Diameter and Emotional Arousal in Emotionally Engaging Tasks ↗ · 2026 · Michel, Selina et al.
Visual and Cognitive Demands of a Large Language Model-Powered In-vehicle Conversational Agent · 2026 · Monk, Chris et al.
Cognitive load assessment using pupil dilation during arithmetic tasks: A multilevel analysis of objective and perceived difficulty ↗ · 2026 · Park, EunSeo
Recherche d'indicateurs d'inattention en conduite automobile : apports des mesures physiologiques et comportementales ↗ · 2026 · Pepin, Guillaume
EEG-based cognitive load estimation during the use of a virtual wheelchair simulator ↗ · 2026 · Pereira Salgado, Débora et al.
Near-invisible c-VEP-based passive BCI for mental workload monitoring · 2026 · Pietro, Cimarosto et al.
Exploring Pilots' Mental Workload While Using an In‐Cabin Electronic Flight Bag for Aircraft Towing Taxi Operations ↗ · 2026 · Qin, Jiahao et al.
Eye-Tracking Indices of Cognitive Load Predict Reaction Time to Urban Traffic Hazards: Machine Learning Classification and Regression Across Manual and Level 2 Assisted Driving ↗ · 2026 · Qin, Hao et al.
The Impact of Partial Automation and Cognitive Load on Drivers’ Visual Search Strategies in an Urban Driving Environment ↗ · 2026 · Qin, Hao et al.
When Takeovers Require Cognitive Control: Effects of Partial Automation and Cognitive Load on Driver-Initiated Responses to Traffic Hazards on Urban Roads ↗ · 2026 · Qin, Hao et al.
Research on the impact of driving environment complexity on driving safety based on Driver Sky View Index (DSVI). · 2026 · Quan, L et al.
From low-level to high-level factors’ influence on pupil hippus ↗ · 2026 · Rabadan, Vivien et al.
Drivers have Impaired Working Memory under High Cognitive Load and Visual Distraction: Safety Implications for Transitions of Control from Vehicle Automation ↗ · 2026 · Goncalves, Rafael Cirino et al.
Effects of Prolonged Monotonous Driving on Lane Change Performance, Visual Attention, and Highway Control · 2026 · Sahar, Tayyaba et al.
Multimodal Psychophysiological Signatures of Mental Workload ↗ · 2026 · Schindler, Hanna et al.
A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging ↗ · 2026 · Seacrist, Thomas et al.
Assessment of Driver Cognitive Load in Autonomous Driving Using Extended Reality Simulation ↗ · 2026 · Hatchett, Seth et al.
Multimodal Machine Learning Framework for Driver Mental Workload Classification: A Comparative and Interpretable Approach ↗ · 2026 · Shao, Xiaojun et al.
Task-Evoked Pupillary Dynamics Are Altered in Post-COVID Syndrome ↗ · 2026 · Smit, Alexander et al.
Gaze dynamics reveal age-related physiological patterns across driving events ↗ · 2026 · Strle, Gregor et al.
Investigating the Role of Cognitive Demands and Mental Workload of Non-Professional Drivers in Japan: A Naturalistic Driving Study ↗ · 2026 · Suresh Babu, Karthik et al.
Identifying neural correlates of cognitive workload in high-performance motorsport simulation: an integrated EEG and telemetry analysis of driver performance ↗ · 2026 · Terapaptommakol, Wasinee et al.
A dynamic ocular index for assessing mental workload across visual tasks ↗ · 2026 · Wang, Xuanzhi et al.
An Empirical Model of Driver Workload Dynamics at Unsignalized Intersections ↗ · 2026 · Wang, Yiyun et al.
Classifying experienced male drivers’ mental workload on freeway ramps based on heart rate and speed measurements: A real-vehicle experiment ↗ · 2026 · Wang, Jie et al.
Cognitive Workload and Attentional Allocation in One-Pedal Driving: A Human–Vehicle Interaction Study in Dynamic Car-Following Scenarios ↗ · 2026 · Wang, Sibo et al.
Investigating the impact of cognitive load on drivers using virtual environments and EEG testing ↗ · 2026 · Wang, Chunhao et al.
Multimodal EEG and Eye-Tracking Assessment of Perceived Mental Workload and Situation Awareness in a Visual Display Terminal Simulation Task ↗ · 2026 · Xiao, Mingchong et al.
Finding Workload in the Wild: Recovering Latent Cognitive Dynamics Jointly from Eye Metrics and Driving Telemetry ↗ · 2026 · Yamashita, Jumpei et al.
Disentangling Cognitive Load From Visual Reflexes: An Iso-Luminant Framework for Virtual Reality (VR)-Based Pupillometry ↗ · 2026 · Yilmaz, Umut et al.
Advancements and Insights in Assessing Cognitive Load During Driving: A Comprehensive Narrative Review ↗ · 2026 · Zhang, Peijiang et al.
EEG-based cognitive load assessment of eHMIs in pedestrian-automated vehicle interactions: A real-world experiment ↗ · 2026 · Zhao, Shengnan et al.
Research on young drivers’ workload based on simulated distracted driving test ↗ · 2026 · Zhao, Xiaoping et al.
Recognition of lane change intention based on driver’s mental workload ↗ · 2026 · Zhong, Shiyu et al.
Repeated Route Naturalistic Driver Behavior Analysis Using Motion and Gaze Measurements ↗ · 2025 · Adhikari, Bikram et al.
Eyes wide open: Object-scene congruency and the pupillary response ↗ · 2025 · Agrawal, Annika et al.
Load-Dependent Relationship Between Lateral Prefrontal Cortex Activity and Pupil Diameter in the Context of Driving ↗ · 2025 · Akimoto, Yoritaka et al.
Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles · 2025 · Gomaa, Amr et al.
Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use · 2025 · Halin, Anaïs et al.
Predicting Driving State, Intent to Merge and Working Memory Load from Eye-Tracking Data Collected in a Driving Simulator Study ↗ · 2025 · Arndt, Rimo Aron
Eye Gaze Entropy Reflects Individual Experience in the Context of Driving ↗ · 2025 · Arutyunova, Karina et al.
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
Real Time Classification of Cognitive Load Using fNIRS and EEGNet in a Driving Simulation Task ↗ · 2025 · Khan, Mehshan Ahmed et al.
Discriminative Capabilities of Eye Gaze Measures for Cognitive Load Evaluation in a Driving Simulation Task ↗ · 2025 · Bakhchina, Anastasiia et al.
Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis · 2025 · Vasta, N et al.
Investigating the interplay between cognitive workload and situation awareness during full driving automation ↗ · 2025 · Sahoo, P et al.
Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving ↗ · 2025 · Bosurgi, Gaetano et al.
Exploring Physiological Markers of Driver Workload in Response to Road Geometry: A Preliminary Investigation ↗ · 2025 · Bosurgi, Gaetano et al.
Pupillometry in Driver Workload Assessment: Opportunities and Challenges ↗ · 2025 · Bosurgi, Gaetano et al.
Looking Beyond Self-Reported Cognitive Load: Comparing Pupil Diameter Against Self-Reported Cognitive Load in Design Tasks ↗ · 2025 · Cass, Madison et al.
Dynamic Optimization of Adaptive Vehicle Lighting Systems: A Multimodal Assessment of Driver Performance and Well-being · 2025 · Chai, Ruizhuo et al.
Exploring the effects of cognitive load on mental fatigue across lifespan using behavioral task and eye-metrics data ↗ · 2025 · Charonitis, Maëlle et al.
IMCATN: Transformer Based Learning With Multi-Scale Information Fusion for Driver Cognitive Load Recognition ↗ · 2025 · Cheng, Shiwei et al.
Effect of the restricted visual field on mental workload during automobile driving ↗ · 2025 · Chihara, Takanori et al.
Keeping an eye on attentive listening: Task-evoked pupil size unveils fluctuations in auditory sustained attention ↗ · 2025 · Dankner, Yarden et al.
Analysis of Neurophysiological Correlates of Mental Fatigue in Both Monotonous and Demanding Driving Conditions · 2025 · Dello Iacono, Francesca et al.
Systematic review of neurophysiological assessment techniques and metrics for mental workload evaluation in real-world settings · 2025 · Diarra, Moussa et al.
Using a visual attentional task and eye-tracking to investigate the effects of pre-takeover resource engagement on attention restoration in conditionally automated driving ↗ · 2025 · Dou, Jinzhen et al.
fNIRS, EEG, ECG, and GSR reveal an effect of complex, dynamically changing environments on cognitive load, affective state, and performance, but not physiological stress · 2025 · Dybvik, Henrikke et al.
Re-Engaging Driver Attention Using ChatGPT: A VR-EEG Study on Stress Impact and Driving Performance ↗ · 2025 · Elfiqi, Alaa et al.
Mental Workload in Truck Driving: A NASA-TLX and HRV-Based Comparison Across Day-Night and Rural-Urban Conditions · 2025 · Hastiya Annisa Fitri et al.
Takeover performance prediction model considering cognitive load: analysis of subjective and objective factors ↗ · 2025 · Ge, Huimin et al.
Adaptive Gain Theory Predicts Phasic Pupillary Dilations During Non-Critical Transitions of Control from Hands-Off L2 Driving Systems ↗ · 2025 · Goodridge, Courtney Michael et al.
Assessing Data Imbalance Correction Methods and Gaze Entropy for Collision Prediction ↗ · 2025 · Goodridge, Courtney Michael et al.
The Impact of N-back-Induced Mental Workload and Time Budget on Takeover Performance · 2025 · Goodridge, Courtney Michael et al.
Behavioral performance and task-evoked pupillary response indices of errors during visual search ↗ · 2025 · Guillory, Sylvia et al.
Driving Fatigue Detection Based on Behavioral with Cognitive Task Scenario ↗ · 2025 · Hadi, Faisal et al.
Are Electrodermal Activity-Based Indicators of Driver Cognitive Distraction Robust to Varying Traffic Conditions and Adaptive Cruise Control Use? ↗ · 2025 · Halin, Anaïs et al.
Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use ↗ · 2025 · Halin, Anaïs et al.
Assessment of drivers’ visual search patterns and cognitive load during driving in curved tunnels ↗ · 2025 · Han, Lei et al.
Spiral tunnel driving and cognitive load: An eye-tracking investigation into tunnel geometry and traversal effects ↗ · 2025 · Han, Lei et al.
Recognition of drivers' mental workload in simulated driving using EEG signals from different brain regions and machine learning algorithms ↗ · 2025 · Huang, Jiaqi et al.
Measuring Mental Effort in Real Time Using Pupillometry ↗ · 2025 · Jayawardena, Gavindya et al.
A Simulator Dataset to Support the Study of Impaired Driving · 2025 · Gideon, John et al.
Eye-tracking metrics for estimating workload and characterizing errors in conflict detection and resolution during simulated en route air-traffic control · 2025 · Navia, José A. et al.
The Interplay Between Tonic and Phasic Pupil Activity and Cognitive Flexibility and Stability ↗ · 2025 · Jos, Anna Mini et al.
Predicting Cognitive Workload in Visuospatial Tasks Using Pupillometry: A Machine Learning Approach ↗ · 2025 · Karunathilake, Sachithra et al.
A Study of Ergonomic Workload Evaluation on Driving and Working of Excavator using Virtual Reality Motion Simulator ↗ · 2025 · Kim, Jong-Hyun et al.
Evaluating In-Car Tasks’ Distraction Effects with Drive-In Lab · 2025 · Kujala, Tuomo et al.
Assessing cognitive load through eye metrics in in-motion vs. stationary environments ↗ · 2025 · Li, Yuzhang et al.
Study on the Influence of Rural Highway Landscape Green Vision Rate on Driving Load Based on Factor Analysis ↗ · 2025 · Li, Hao et al.
Multimodal prediction of situation awareness during automated driving: a gaze and EEG-based approach ↗ · 2025 · Lim, Chiho et al.
Enhancing mental workload recognition: a comparison of complexity-based eye movement metrics and conventional features ↗ · 2025 · Lin, Ray F et al.
An In-Vehicle Digital Representation Model for Identifying the Channel and Level of Driver Workload Based on EEG Signals ↗ · 2025 · Liu, Tiancheng et al.
Cognitive Load Prediction From Multimodal Physiological Signals Using Multiview Learning ↗ · 2025 · Liu, Yingxin et al.
Dissociable Pupil and Oculomotor Markers of Attention Allocation and Distractor Suppression during listening ↗ · 2025 · Liu, Xena et al.
EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications ↗ · 2025 · Liu, Tianqi et al.
Temporal Analysis of Cognitive Workload During Manual and Partial Driving Automation Based on the Detection Response Task ↗ · 2025 · Mahmoodzadeh, Mobina et al.
Speed control, visual adaptation, and mental workload in urban short underpass tunnels: A naturalistic driving study ↗ · 2025 · Mei, Jialin et al.
Method of Assessing Cognitive Workload for Budapest Tram Drivers to Enhance Urban Traffic Safety ↗ · 2025 · Nagy, Márton et al.
The Effects of Cognitive Load on Pupil Dilation in Volleyball Players: An Eye-Tracking Study: Cognitive Load on Pupil Dilation in Volleyball Players ↗ · 2025 · Nalçacıgil, Tuğba
Real-World Evaluation of Driver Cognitive Load Across Traffic Conditions Using Biometric Signals ↗ · 2025 · Nava, Alicia et al.
Interpretable Quantification of Scene-Induced Driver Visual Load: Linking Eye-Tracking Behavior to Road Scene Features via SHAP Analysis ↗ · 2025 · Ni, Jie et al.
Unpacking the relationship between task complexity and driving risk: Insights from a UK on-road trial ↗ · 2025 · Papazikou, Evita et al.
Task-evoked pupillary responses reveal a role for attentional intensity in auditory discrimination ↗ · 2025 · Pillai, Mark Gunther et al.
Predicting Operator Workload from Oculometric Data in High-Demand Environments: A Case Study with MATB-II · 2025 · Pogliano, Marco et al.
2055 Toward Precision Education in Neurosurgical Training: Cognitive Load Estimation via Pupil Diameter ↗ · 2025 · Porras, Jose Luis et al.
450 Estimating Cognitive Load Via Pupil Diameter: A Novel Metric for Assessing Neurosurgical Residency Applicants ↗ · 2025 · Porras, Jose Luis et al.
Workload-Induced Variations in Visual Attention Ability during Simulated Flight Tasks: Evidence from Eye-Tracking ↗ · 2025 · Qian, Chunying et al.
The Effect of Cognitive Load on Drivers’ Visual Search Strategies During Partially Automated Driving in an Urban Environment ↗ · 2025 · Qin, Hao et al.
Quantifying Mental Workload in Rail Traffic Control: An Eye-tracking Investigation under varying Task Demands and Expertise Levels ↗ · 2025 · Ransing, Vishwajeet et al.
Analysis of P300 Evoked Potentials to Determine Pilot Cognitive States ↗ · 2025 · Rodríguez-Bermúdez, Germán et al.
Continuous Assessment of Mental Workload During Complex Human–Machine Interaction: Inferring Cognitive State from Signals External to the Operator ↗ · 2025 · Roques, Axel et al.
Measurement of pilots’ fatigue, attention and vigilance using EEG, ECG and EYE tracking in the simulated environment · 2025 · RUSU, Victoria et al.
Mind the road: attention related neuromarkers during automated and manual simulated driving captured with a new mobile EEG sensor system · 2025 · Scanlon, Joanna Elizabeth Mary et al.
Dynamic Head-Up Display Design: Cognitive Load as a Parametric Driver ↗ · 2025 · Solombrino, Laetitia Pina-Lydia et al.
SPIDER 2.0: Driver Distraction and Visual Attention · 2025 · Strayer, David L.
Temporal Analysis of Cognitive Workload During Manual and Partial Driving Automation Based on the Detection Response Task ↗ · 2025 · Strayer, David L.
Cognitive Distraction Detection Using Gaze and Pupil with an Interpretable Approach · 2025 · Tamura, Kimimasa et al.
Impact of the difficulty of the box task on its sensitivity when combined with a detection response task to assess secondary task workload ↗ · 2025 · Trommler, Daniel et al.
Disentangling Arousal and Attentional Contributions to Pupil Size: Toward Simultaneous Estimation of Emotional and Cognitive States ↗ · 2025 · Tsutsumi, Taihei et al.
Assessment and Prediction of Remote Operators’ Mental Workload Through AoI Data in AV Scenarios ↗ · 2025 · Valerio, Andrea et al.
Comparative Analysis of Driving Performance and Visual and Physiological Responses Between Professional and Civilian Drivers in Simulated Environments · 2025 · Nagy, Viktor et al.
Multimodal Assessment of Mental Workload During Automated Vehicle Remote Assistance: Modeling of Eye-Tracking-Related, Skin Conductance, and Cardiovascular Indicators · 2025 · Walocha, Fabian et al.
Impact of multi-dimensional cognitive demands on takeover performance, physiological and eye-tracking measures in conditionally automated vehicles ↗ · 2025 · Wang, Ange et al.
CogMamba: Multi-Task Driver Cognitive Load and Physiological Non-Contact Estimation with Multimodal Facial Features ↗ · 2025 · Xie, Yicheng et al.
Coupling mechanism of nighttime lighting glare and driver cognitive load based on visual-physiological parameters ↗ · 2025 · Xu, Mingwei et al.
Recognising and explaining mental workload using low-interference method by fusing speech, ECG and eye tracking signals during simulated flight ↗ · 2025 · Xu, Haixin et al.
Gaze behaviours, situation awareness and cognitive workload of air traffic controllers in radar screen monitoring tasks with varying task complexity ↗ · 2025 · Yiu, Cho Yin et al.
Pilot mental workload analysis in the A320 traffic pattern based on HRV features ↗ · 2025 · Yuan, Jiajun et al.
A Real-Time Context-Dependent Driver Attention AssessmentSystem Using Pupil Orientation and Head Posture ↗ · 2025 · Zhang, Weiwei et al.
Deriving workload from driving behavior and psycho-physiology in work zones ↗ · 2025 · Zhao, Chi et al.
Effects of subjective driving workload on hazard perception performance in older drivers: A driving simulation study ↗ · 2025 · Zhou, Yiwen et al.
Investigating the effect of drivers’ mental workload on the occurrence of driving anger among urban drivers in Qazvin city ↗ · 2024 · Abdi, Hanieh et al.
Caltrans UAS and Driver Safety: Driver Distraction in the Presence of UAS · 2024 · Akhavian, Reza et al.
Mental Workload Modeling by Using Machine Learning Techniques Based on EEG and Eye Tracking Data ↗ · 2024 · Aksu, Şeniz Harputlu et al.
Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach ↗ · 2024 · Alshanskaia, Evgeniia I. et al.
Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines · 2024 · Angkan, Prithila et al.
Situational Awareness Assessment of Drivers Boosted by Eye-Tracking Metrics: A Literature Review ↗ · 2024 · Arias-Portela, Claudia Yohana et al.
Heart rate dynamics for cognitive load estimation in a driving simulation task · 2024 · Arutyunova, Karina Rollandovna et al.
Examining the Utility of Blink Rate as a Proxy for Cognitive Load in Flight Simulation ↗ · 2024 · Ayala, Naila et al.
Investigating the role of flight phase and task difficulty on low-time pilot performance, gaze dynamics and subjective situation awareness during simulated flight · 2024 · Ayala, Naila et al.
The effects of a dual task on gaze behavior examined during a simulated flight in low-time pilots · 2024 · Ayala, Naila et al.
Capturing the Mind: Non-Driving-Related Tasks as a Window into Cognitive Engagement in Automated Driving ↗ · 2024 · Bai, Xiaolu et al.
How the cognitive load of simulated driving affects the brain dynamics underlying auditory attention ↗ · 2024 · Banz, Barbara C. et al.
Assessing and Improving the Cognitive and Visual Driving Fitness of CDL Drivers · 2024 · Bhattacharya, Shelley B. et al.
On the impact of on-road partially-automated driving on drivers’ cognitive workload and attention allocation ↗ · 2024 · Biondi, FN et al.
Using the ISO Detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways ↗ · 2024 · Biondi, Francesco N. et al.
Pupillary manifolds: uncovering the latent geometrical structures behind phasic changes in pupil size · 2024 · Blini, Elvio et al.
Test-retest reliability and behavioural correlates of pupil responses in an n-back task ↗ · 2024 · Bényei, Gábor László et al.
Measuring cognitive load in multitasking using mobile fNIRS ↗ · 2024 · Boere, Katherine et al.
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data ↗ · 2024 · Caber, Nermin et al.
Evaluating the Cognitive Load of Pilots: A Review of Workload Assessment Tools and Data Analysis Methods ↗ · 2024 · Cesare, Michele Giuseppe Di et al.
Estimating perceived mental workload from eye-tracking data based on benign anisocoria ↗ · 2024 · Chakraborty, Suvodip et al.
Reliable but multi-dimensional cognitive demand in operating partially automated vehicles · 2024 · Lohani, M et al.
Investigating mental workload across task modalities: a multimodal analysis using pupillometry ↗ · 2024 · Dhengre, Snehal et al.
On investigating drivers’ attention allocation during partially-automated driving · 2024 · Eddine, RJ et al.
Utilising raw psycho-physiological data and functional data analysis for estimating mental workload in human drivers ↗ · 2024 · Eniyandunmo, David et al.
Comparative analysis of mental workload and performance between young and elderly drivers: Implications for road safety and age-related driving challenges ↗ · 2024 · Entezarizarch, Elham et al.
Exploring the effect of cognitive load in scenarios of daily driving · 2024 · Felisberti, Fatima M. et al.
Using driver monitoring to estimate readiness in automation: A conceptual model based on simulator experimental data · 2024 · Gonçalves, Rafael C. et al.
Gaze entropy metrics for mental workload estimation are heterogenous during hands-off level 2 automation ↗ · 2024 · Goodridge, Courtney M. et al.
A Review of the Use of Gaze and Pupil Metrics to Assess Mental Workload in Gamified and Simulated Sensorimotor Tasks ↗ · 2024 · Gorin, Holly et al.
Investigating the influence of eye-catching effect on mental workload in highway tunnel entrances: a comprehensive analysis of eye blink behavior ↗ · 2024 · Han, Lei et al.
The effects of the traffic signs information volume on the visual characteristics and workload of novice and experienced drivers ↗ · 2024 · Han, Lei et al.
Analysis of Driving Behaviors and Cognitive Load Impacts of Human Drivers in Connected Work Zones ↗ · 2024 · He, Liying et al.
Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiography and Eye Tracking · 2024 · Shi, Wenxin et al.
Cognitive Workload Estimation in Conditionally Automated Vehicles Using Transformer Networks Based on Physiological Data · 2024 · Wang, Ange et al.