08 August 2015 5 7K Report

As vehicle automation becomes a reality we will see the nature of the driver-vehicle interaction begin to change, taking on a more supervisory role with higher levels. It is, however, not unlikely that driver's role will switch from time to time from that of a passive supervisor to an active agent, requiring the driver's attention and/or intervention.

Rightly, there are two consequences of this that are currently receiving much interest in the human factors community: 1) assessing the driver's state during automation such that we might understand their readiness to resume control, and 2) assessing the capabilities and limitations of the driver once they have taken back control. While reaction time has been the gold standard for performance, in the context of vehicle automation faster reaction time may not necessarily be the desired outcome: the scenarios that would see a driver have to take back control will likely not only require control-level responses, which means that if the driver needs to make a tactical decision first then asking how long it takes the driver to take control is less important than the quality of the decision they make once they do.

My questions: 

1) Given that a driver's response will be linked to the design of the actual system, and few systems currently exist, how do we design the system and scenarios in our experiments such they are meaningful to us and vehicle manufacturers?

2) Without vehicle-based metrics, how does one go about assessing driver state and readiness to intervene/take over/make decisions?

3) What are the pros and cons of using such measures as eye-tracking (which aspects?), fNIRs, EEG, HRV, and other psychophysiological measures to assessing readiness? Are there others?

4) How might one go about assessing the quality of the transition?

5) How can we link the various driver state and performance-based metrics to build a meaningful assessment of the driver's capabilities and limitations in the transitions?

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