Evaluation of a Method to Estimate Driving Workload in Real Time: Watching Video Clips Versus Simulated Driving
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2011-09-01
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Edition:9/04-9/11
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Abstract:Sixteen drivers, 8 ages 18-30 and 8 over age 65, drove 53 expressway scenarios, 26 of which replicated scenarios shown to subjects as video clips in a previous experiment as part of the SAVE-IT project. In the SAVE-IT project, subjects rated the workload of driving on an open-ended scale relative to 2 video clips corresponding to light traffic (with an anchor value of 2) and moderate traffic (with a value of 6). In this follow-on experiment, subjects rated both the workload of the scenes while driving and later rated the workload of the video clips resembling them. The mean workload ratings of video clips from this experiment were highly correlated with the mean ratings from the SAVE-IT study (r=0.97), though the overall ratings were lower. Further, the ratings of video clips from this study were highly correlated with the workload ratings for the scenes when driven (r=0.92). However, the most important finding was that mean workload rating while driving could be estimated as 5.13 - 0.02 (mean gap), where the mean gap was measured in meters. This equation accounted for 69% of the variance of the workload equations. Also well correlated with the workload ratings while driving were the mean traffic count (r=0.65), the log10 (gap) (r=-0.83), and the inverse gap (r=0.78).
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