On the public citation graph

Dynamic Nonlinear Relationship between Driver Workload and Fatigue in Long-Duration Monitoring Tasks

0 signed · 72 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/brb3.1136openalex-extracted
N ‐back training and transfer effects revealed by behavioral responses and EEG
inferredcites →https://doi.org/10.1002/hfm.20969openalex-extracted
Partially automated driving has higher workload than manual driving: An on‐road comparison of three contemporary vehicles with SAE Level 2 features
inferredcites →https://doi.org/10.1007/978-3-031-17601-2_21openalex-extracted
An Analysis of Mental Workload Involved in Piloting Tasks
inferredcites →https://doi.org/10.1007/978-3-319-61061-0_6openalex-extracted
The Impact of Workload and Fatigue on Performance
inferredcites →https://doi.org/10.1007/978-3-642-02812-0_43openalex-extracted
Improved Team Performance Using EEG- and Context-Based Cognitive-State Classifications for a Vehicle Crew
inferredcites →https://doi.org/10.1016/j.aap.2004.07.007openalex-extracted
Fatigue, sleep restriction and driving performance
inferredcites →https://doi.org/10.1016/j.aap.2007.09.026openalex-extracted
Alertness maintaining tasks (AMTs) while driving
inferredcites →https://doi.org/10.1016/j.aap.2015.02.023openalex-extracted
What determines the take-over time? An integrated model approach of driver take-over after automated driving
inferredcites →https://doi.org/10.1016/j.aap.2017.12.005openalex-extracted
Mitigating passive fatigue during monotonous drives with thermal stimuli: Insights into the effect of different stimulation durations
inferredcites →https://doi.org/10.1016/j.aap.2018.03.013openalex-extracted
Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving
inferredcites →https://doi.org/10.1016/j.aap.2018.04.004openalex-extracted
Dangerous intersections? A review of studies of fatigue and distraction in the automated vehicle
inferredcites →https://doi.org/10.1016/j.aap.2019.03.010openalex-extracted
Evaluate driver response to active warning system in level-2 automated vehicles
inferredcites →https://doi.org/10.1016/j.aap.2020.105455openalex-extracted
Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data
inferredcites →https://doi.org/10.1016/j.aap.2021.106168openalex-extracted
The influence of music tempo on mental load and hazard perception of novice drivers
inferredcites →https://doi.org/10.1016/j.aap.2023.107068openalex-extracted
Supervising the self-driving car: Situation awareness and fatigue during highly automated driving
inferredcites →https://doi.org/10.1016/j.aei.2020.101157openalex-extracted
Inter-subject transfer learning for EEG-based mental fatigue recognition
inferredcites →https://doi.org/10.1016/j.apergo.2010.06.009openalex-extracted
Work hours, workload, sleep and fatigue in Australian Rail Industry employees
inferredcites →https://doi.org/10.1016/j.apergo.2016.07.011openalex-extracted
Distraction and task engagement: How interesting and boring information impact driving performance and subjective and physiological responses
inferredcites →https://doi.org/10.1016/j.apergo.2016.12.015openalex-extracted
Electrocardiographic features for the measurement of drivers' mental workload
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.bandc.2013.12.011openalex-extracted
Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks
inferredcites →https://doi.org/10.1016/j.bspc.2020.102075openalex-extracted
Multiple nonlinear features fusion based driving fatigue detection
inferredcites →https://doi.org/10.1016/j.clinph.2010.10.044openalex-extracted
EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions
inferredcites →https://doi.org/10.1016/j.eng.2018.11.025openalex-extracted
Neural Mechanisms of Mental Fatigue Revisited: New Insights from the Brain Connectome
inferredcites →https://doi.org/10.1016/j.eswa.2010.07.115openalex-extracted
Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic
inferredcites →https://doi.org/10.1016/j.eswa.2016.01.013openalex-extracted
EEG index for control operators’ mental fatigue monitoring using interactions between brain regions
inferredcites →https://doi.org/10.1016/j.ijhcs.2015.01.002openalex-extracted
Discrete task switching in overload: A meta-analyses and a model
inferredcites →https://doi.org/10.1016/j.neubiorev.2012.10.003openalex-extracted
Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
inferredcites →https://doi.org/10.1016/j.trf.2008.11.005openalex-extracted
Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies
inferredcites →https://doi.org/10.1016/j.trf.2009.08.007openalex-extracted
The effect of cellular telephone conversation and music listening on response time in braking
inferredcites →https://doi.org/10.1016/j.trf.2010.04.001openalex-extracted
Are driving simulators effective tools for evaluating novice drivers’ hazard anticipation, speed management, and attention maintenance skills?
inferredcites →https://doi.org/10.1016/j.trf.2014.06.016openalex-extracted
Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence
inferredcites →https://doi.org/10.1016/j.trf.2018.09.026openalex-extracted
Effects of cognitive load on response time in an unexpected lead vehicle braking scenario and the detection response task (DRT)
inferredcites →https://doi.org/10.1016/j.trf.2020.08.001openalex-extracted
The effect of sleep-need and time-on-task on driver fatigue
inferredcites →https://doi.org/10.1016/j.trf.2023.02.015openalex-extracted
Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving
inferredcites →https://doi.org/10.1016/s0001-4575(98)00062-1openalex-extracted
Preventing drowsiness accidents by an alertness maintenance device
inferredcites →https://doi.org/10.1016/s0301-0511(00)00085-5openalex-extracted
A critical review of the psychophysiology of driver fatigue
inferredcites →https://doi.org/10.1017/s0048577201393095openalex-extracted
Driver fatigue: Electroencephalography and psychological assessment
inferredcites →https://doi.org/10.1037/a0014952openalex-extracted
An examination of the relationship between workload and fatigue within and across consecutive days of work: Is the relationship static or dynamic?
inferredcites →https://doi.org/10.1038/s41598-021-99680-4openalex-extracted
Electrophysiological frequency domain analysis of driver passive fatigue under automated driving conditions
inferredcites →https://doi.org/10.1038/s41598-022-17419-1openalex-extracted
Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode
inferredcites →https://doi.org/10.1080/00140130600980789openalex-extracted
Back to the future: Brake reaction times for manual and automated vehicles
inferredcites →https://doi.org/10.1080/00140139.2014.952347openalex-extracted
Fatigue and recovery during and after static loading
inferredcites →https://doi.org/10.1080/00140139.2014.956151openalex-extracted
State of science: mental workload in ergonomics
inferredcites →https://doi.org/10.1080/00140139.2023.2183850openalex-extracted
Is there a u-shaped relationship between load levels and fatigue and recovery? An examination of possible mechanisms
inferredcites →https://doi.org/10.1080/0951192x.2023.2189311openalex-extracted
An integrated methodology for the assessment of stress and mental workload applied on virtual training
inferredcites →https://doi.org/10.1080/10803548.2022.2049101openalex-extracted
Pilots’ mental workload variation when taking a risk in a flight scenario: a study based on flight simulator experiments
inferredcites →https://doi.org/10.1080/1463922x.2017.1293187openalex-extracted
A human factors perspective on automated driving
inferredcites →https://doi.org/10.1109/jbhi.2023.3281793openalex-extracted
EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT
inferredcites →https://doi.org/10.1109/thms.2018.2844251openalex-extracted
The Effects of Lead Time of Take-Over Request and Nondriving Tasks on Taking-Over Control of Automated Vehicles
inferredcites →https://doi.org/10.1109/tits.2015.2494873openalex-extracted
Vibrotactile Displays: A Survey With a View on Highly Automated Driving
inferredcites →https://doi.org/10.1109/tits.2018.2868499openalex-extracted
Driver Fatigue Detection Systems: A Review
inferredcites →https://doi.org/10.1111/epi.12904openalex-extracted
Dynamic directed interictal connectivity in left and right temporal lobe epilepsy
inferredcites →https://doi.org/10.1121/1.4987548openalex-extracted
Using electroencephalography as a tool to understand auditory perception: Event-related and time-frequency analyses
inferredcites →https://doi.org/10.1177/0018720816681350openalex-extracted
From Here to Autonomy
inferredcites →https://doi.org/10.1177/0018720818761711openalex-extracted
Driver Vigilance in Automated Vehicles: Hazard Detection Failures Are a Matter of Time
inferredcites →https://doi.org/10.1177/0018720818773636openalex-extracted
Performance of an Additional Task During Level 2 Automated Driving: An On-Road Study Comparing Drivers With and Without Experience With Partial Automation
inferredcites →https://doi.org/10.1177/1071181312561415openalex-extracted
The Effects of Cell Phone Use and Automation on Driver Performance and Subjective State in Simulated Driving
inferredcites →https://doi.org/10.1177/154193120204602213openalex-extracted
Alertness Maintaining Tasks While Driving
inferredcites →https://doi.org/10.1177/154193120605000909openalex-extracted
Nasa-Task Load Index (NASA-TLX); 20 Years Later
inferredcites →https://doi.org/10.1177/154193120805201811openalex-extracted
The Red-Line of Workload: Theory, Research, and Design
inferredcites →https://doi.org/10.1177/1541931215591362openalex-extracted
Distraction Becomes Engagement in Automated Driving
inferredcites →https://doi.org/10.1186/1471-2202-14-101openalex-extracted
Detecting alpha spindle events in EEG time series using adaptive autoregressive models
inferredcites →https://doi.org/10.26599/bsa.2020.9050019openalex-extracted
Demystifying signal processing techniques to extract resting-state EEG features for psychologists
inferredcites →https://doi.org/10.3141/2138-02openalex-extracted
Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers
inferredcites →https://doi.org/10.3389/fnhum.2018.00418openalex-extracted
Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective Connectivity Analysis and Actigraphy Data
inferredcites →https://doi.org/10.3389/fpsyg.2018.00459openalex-extracted
The Relationship Between Drivers’ Cognitive Fatigue and Speed Variability During Monotonous Daytime Driving
inferredcites →https://doi.org/10.3390/app13021200openalex-extracted
Physiological and Behavioral Changes of Passive Fatigue on Drivers during On-Road Driving
inferredcites →https://doi.org/10.3390/brainsci10040199openalex-extracted
EEG Theta Power Activity Reflects Workload among Army Combat Drivers: An Experimental Study
inferredcites →https://doi.org/10.3390/ijerph16152716openalex-extracted
A Systematic Review of Physiological Measures of Mental Workload
inferredcites →https://doi.org/10.3390/s23042214openalex-extracted
A Systematic Review of In-Vehicle Physiological Indices and Sensor Technology for Driver Mental Workload Monitoring
inferredcites →https://doi.org/10.3724/sp.j.1042.2015.00539openalex-extracted
A New Perspective into Display Technologies: Interactive Display
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.