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Disengaging Automation: Understanding Drivers’ Decisions to Turn off Vehicle Automation Using an Evidence Accumulation Framework
DescriptionStudies that have examined the effect of automated vehicle driving styles on drivers’ decisions to engage or disengage the automation generally assume that drivers monitor the automation. However, future vehicles are expected to free drivers from the driving task and enable engagement in non-driving related tasks (NDRTs). The effect of NDRT engagement on driver-vehicle interaction is unclear. Through an empirical study, this research examined the differences in decision-making strategies between drivers assigned an NDRT and drivers who only monitored automation. The decisions to rely on the automation were examined through an evidence accumulation-based framework of decision-making. Results showed that drivers engaged in NDRTs made reliance decisions quickly, while those who monitored the automation were slower decision makers. Additionally, the driving style had no clear effect on drivers’ disengagement decisions. These results suggest that situational demands arising from the NDRTs played a role in decisions related to automation reliance.
Event Type
Lecture
TimeTuesday, September 10th2:10pm - 2:30pm MST
LocationFLW Salon C
Tracks
Cognitive Engineering & Decision Making