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Classifying driver workload using physiological and driving performance data

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References

2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
1985A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?1,285 cited
2005Effects of visual and cognitive load in real and simulated motorway driving836 cited
2004Handbook of Human Factors and Ergonomics Methods836 cited
2007Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines482 cited
1986Workload: An examination of the concept.472 cited
1998Physiological workload reactions to increasing levels of task difficulty433 cited
2002Malleable Attentional Resources Theory: A New Explanation for the Effects of Mental Underload on Performance405 cited
2009Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers394 cited
2000Concurrent mobile (cellular) phone use and driving performance: task demand characteristics and compensatory processes299 cited
2012Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task298 cited
2008A decrease in brain activation associated with driving when listening to someone speak297 cited
1987Mental workload291 cited
2011The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation

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183 cited

1907PSYCHO-PHYSICAL INVESTIGATIONS WITH THE GALVANOMETER AND PNEUMOGRAPH IN NORMAL AND INSANE INDIVIDUALS76 cited

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2014The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand153 cited
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2015Distraction Becomes Engagement in Automated Driving136 cited
2020Psychophysiological responses to takeover requests in conditionally automated driving108 cited
2017Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study100 cited
2019Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures96 cited
2023Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion90 cited
2015Multi-modal assessment of on-road demand of voice and manual phone calling and voice navigation entry across two embedded vehicle systems84 cited
2021Classification of Drivers' Workload Using Physiological Signals in Conditional Automation79 cited
2019In a heart beat: Using driver’s physiological changes to determine the quality of a takeover in highly automated vehicles75 cited
2021Recognition of driver’s mental workload based on physiological signals, a comparative study75 cited
2022Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014–2021)70 cited
2022Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures69 cited
2021A Critique of Electrodermal Activity Practices at CHI65 cited
2015Physiological responses related to moderate mental load during car driving in field conditions61 cited