Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers

By Bruce Mehler, Bryan Reimer, Joseph F. Coughlin, Jeffery A. Dusek. 2009

425 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Safety, Risk, Reliability and Quality, Social Psychology

View Paper: https://www.semanticscholar.org/paper/c612ff1e6088a99f171deceb21db83c1cf087cff

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In Experimental and Cognitive Psychology

In Safety, Risk, Reliability and Quality

In Social Psychology

Citations in the corpus

The impact of a naturalistic hands-free cellular phone task on heart rate and simulated driving performance in two age groups (2011, background): “The lab has since upgraded to instrumentation supporting high resolution EKG recording in combination with electrodermal monitoring to address these latter issues (Mehler et al., 2009; Reimer et al., 2009).”
A Comparison of Heart Rate and Heart Rate Variability Indices in Distinguishing Single-Task Driving and Driving Under Secondary Cognitive Workload (2017, background): “These are relevent considerations since the capacity to detect subtle changes in workload is essential if physiological measures are to prove useful in assessing in-vehicle HMI and other demands (Lenneman & Backs, 2010; Mehler et al. 2009).”
Impact of Cognitive Task Complexity on Drivers’ Visual Tunneling (2009, background): “Earlier research in the author’s laboratory has shown that the presentation of increasingly difficult n-back tasks in combination with a financial incentive motivating performance can be used to incrementally increase workload as assessed by physiological arousal and vehicle performance measures (23”
Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task (2012, methodology): “Zeitlin (1995) demonstrated the utility of the 1-back form of the task under on-road driving conditions, and our group has used the 0-, 1-, and 2-back forms under simulation (Mehler et al., 2009) and on road (Reimer et al., 2009).”
Exploring Physiological Correlates of Visual Complexity Adaptation: Insights from EDA, ECG, and EEG Data for Adaptation Evaluation in VR Adaptive Systems (2023, background): “HR increased with mental workload [6] and EDA discriminated across workload levels [42] and showed better test-retest reliability than other physiological measures [44].”