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MPI uses a configurable and adaptable timer to control the frequency of verification actions to tradeoff the intrusiveness and fault detection efficiency.
Nonetheless, the Feedback group, despite showing a higher frequency of verification before training increased drastically the frequency of verification of the blind spots after the training program.
Training was effective, however, in changing the frequency of verification of the blind spot for drivers in the Feedback group only.
For each group, frequency of verification of the blind spot was computed for 5-s temporal bins (15 seconds prior to the onset of the maneuver to 5 seconds after the onset of the maneuver).
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Moreover, by participating in active practice sessions in the simulator, they were able to engage the necessary processes leading to appropriate driving behaviors when tested on-road (i.e., increased frequency of blind spot verifications and earlier verifications).
The analysis of visual search strategies during lane changes revealed that the driving-specific Feedback group increased drastically the frequency of blind spot verifications (from 32.3% to 64.9% of the lane changes) whereas the Control group did not.
At the Pre-training evaluation, although we randomly assigned subjects to each group, there was a significant group difference for the frequency of blind spot verifications during lane changes (32.3% vs. 12.5% for Feedback and Control, respectively).
The low frequency of blind spot verifications obtained from the Pre-training on-road evaluation is similar to previously recorded data on visual searches during lane changes for younger drivers (16% to 31%)[ 9, 10] and older drivers in a simulator study (41%)[ 13].
Decades of verification lie ahead.
The potential of verification and labelling schemes.
The second problem is that of verification.
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