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Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data
14 references·0 citing·46 second hop
Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data (2020)Evaluation of mental workload during auto…Mental workload is reflected in driver behaviour, physiology, eye movements and prefrontal cortex activation (2018)Mental workload is reflected …Measuring mental workload using physiological measures: A systematic review (2018)Measuring mental workload usi…EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings (2018)EEG-Based Mental Workload Neu…An analysis of the suitability of a low-cost eye tracker for assessing the cognitive load of drivers (2017)An analysis of the suitabilit…Monitoring driver cognitive load using functional near infrared spectroscopy in partially autonomous cars (2016)Monitoring driver cognitive l…Towards testing auditory–vocal interfaces and detecting distraction while driving: A comparison of eye-movement measures in the assessment of cognitive workload (2015)Towards testing auditory–voca…The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand (2014)The sensitivity of different …Investigating the influence of working memory capacity when driving behavior is combined with cognitive load: An LCT study of young novice drivers (2013)Investigating the influence o…Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness (2012)Measuring neurophysiological …Saccadic Peak Velocity Sensitivity to Variations in Mental Workload (2010)Saccadic Peak Velocity Sensit…Mental Workload and Visual Impairment: Differences between Pupil, Blink, and Subjective Rating (2008)Mental Workload and Visual Im…Japanese version of NASA Task Load Index: Sensitivity of its workload score to difficulty of three different laboratory tasks. (1996)Japanese version of NASA Task…Subjective mental workload assessment technique-An introduction to NASA-TLX and SWAT and a proposal of simple scoring methods. (1993)Subjective mental workload as…Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Development of NASA-TLX (Task…Multiple resources and performance prediction (2002)Working Memory Capacity as Executive Attention (2002)Multiple Resources and Mental Workload (2008)Measuring cognitive load and cognition: metrics for technology-enhanced learning (2014)Working memory capacity, visual attention and hazard perception in driving. (2016)Cognitive Load Theory in Computing Education Research: A Review (2022)Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night (1997)Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Driver Fatigue Detection Systems: A Review (2018)A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving (2019)Cell phone-induced failures of visual attention during simulated driving. (2003)Mental workload while driving: Effects on visual search, discrimination, and decision making. (2003)Effects of visual and cognitive load in real and simulated motorway driving (2005)Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway (2016)The Psychophysiology Primer: A Guide to Methods and a Broad Review with a Focus on Human–Computer Interaction (2016)Predicting driver takeover performance in conditionally automated driving (2020)Human Mental Workload (1988)Using Task-Induced Pupil Diameter and Blink Rate to Infer Cognitive Load (2014)Engineering Psychology and Human Performance (2015)The effects of driving environment complexity and dual tasking on drivers’ mental workload and eye blink behavior (2016)The effects of time pressure on driver performance and physiological activity: A driving simulator study (2016)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Telling more than we can know: Verbal reports on mental processes. (1977)The Out-of-the-Loop Performance Problem and Level of Control in Automation (1995)Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)The Subjective Workload Assessment Technique: A Scaling Procedure for Measuring Mental Workload (1988)Comparison of Four Subjective Workload Rating Scales (1992)Effects of task difficulty and time‐on‐task on mental workload (2002)The potential of waiting one second before answering a question for boosting medical image binary labelling performance (2022)Driver's mental workload classification using physiological, traffic flow and environmental factors (2023)Traditional and raw task load index (TLX) correlations: Are paired comparisons necessary? In A (1989)Control Authority Transfer Method for Automated-to-Manual Driving Via a Shared Authority Mode (2018)Effective Scheme to Control Multiple Application Windows for Screen Reader Users with Blindness (2020)The measurement of drivers' mental workload (1996)Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network (2021)Assessing Perceptual Load and Cognitive Load by Fixation-Related Information of Eye Movements (2022)Cognitive load, working memory capacity and driving performance: A preliminary fNIRS and eye tracking study (2022)State of science: mental workload in ergonomics (2014)A Systematic Review of Physiological Measures of Mental Workload (2019)Physiological Measurements of Situation Awareness: A Systematic Review (2020)EEG power spectral measures of cognitive workload: A meta‐analysis (2022)Compensatory control in the regulation of human performance under stress and high workload: A cognitive-energetical framework (1997)Brain–Computer Interface-Based Adaptive Automation to Prevent Out-Of-The-Loop Phenomenon in Air Traffic Controllers Dealing With Highly Automated Systems (2019)Brain at Work and in Everyday Life as the Next Frontier: Grand Field Challenges for Neuroergonomics (2020)Using machine learning methods and EEG to discriminate aircraft pilot cognitive workload during flight (2023)
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References

  • 1988Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research15,045 cited
  • 2012Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness1,336 cited
  • 2018Measuring mental workload using physiological measures: A systematic review713 cited
  • 2018Mental workload is reflected in driver behaviour, physiology, eye movements and prefrontal cortex activation213 cited
  • 2008Mental Workload and Visual Impairment: Differences between Pupil, Blink, and Subjective Rating206 cited
  • 2018EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings167 cited
  • 2014The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand153 cited
  • 1996Japanese version of NASA Task Load Index: Sensitivity of its workload score to difficulty of three different laboratory tasks.141 cited
  • 2013Investigating the influence of working memory capacity when driving behavior is combined with cognitive load: An LCT study of young novice drivers125 cited
  • 1993Subjective mental workload assessment technique-An introduction to NASA-TLX and SWAT and a proposal of simple scoring methods.114 cited
  • 2010Saccadic Peak Velocity Sensitivity to Variations in Mental Workload108 cited
  • 2017An analysis of the suitability of a low-cost eye tracker for assessing the cognitive load of drivers101 cited

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2015
Towards testing auditory–vocal interfaces and detecting distraction while driving: A comparison of eye-movement measures in the assessment of cognitive workload
72 cited
  • 2016Monitoring driver cognitive load using functional near infrared spectroscopy in partially autonomous cars56 cited
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