We provide a brief comment on the work of Martinussen et al. (2017), who studied the relationships between self-reported driving behavior, registered traffic offences, and registered crash involvement. It is argued that if the number of crashes is small, then the correlation with crashes is also small. Our analysis of the SHRP2 naturalistic driving study shows that the violations score of the Driver Behavior Questionnaire and the Sensation Seeking Scale exhibit small correlations with recorded crashes, and small-to-moderate correlations with recorded near-crashes and measures of driving style.

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Continuous, non-invasive workload indicators of operators is an essential component for dynamically assigning appropriate amount of tasks between automation and operators to prevent overload and out-of-the-loop problems in computer-based procedures. This article examines the monitoring task difficulty manipulated by the task type and load, and explores physiological measurements in relation to mental workload. In a within-subject design experiment, forty-five university students performed monitoring tasks in simulated nuclear power plants (NPPs) control room. The performance of monitoring tasks (accuracy), subjective mental workload (NASA Task Load Index), as well as four eye-related physiological indices were measured and analyzed. The results show that as monitoring task difficulty increased, task performance significantly decreased while NASA-TLX, number of fixations, and dwell time significantly increased. Number of fixations and dwell time could be effective, non-invasive continuous indicators of workload for enabling adaptive computerbased procedures.