Presentation
Bayesian Network Modeling of Cross-Phase Driver Readiness in Automated Vehicle Cyber-Attacks
DescriptionAs cars become more automated, drivers often shift their attention away from driving and engage in other activities, such as using their phone or watching videos. While this may seem convenient, it can reduce how prepared drivers are to notice and respond to unexpected problems. This becomes especially important in situations like cyber-attacks, where the vehicle’s information system may display misleading or incorrect information.
In this study, we examined how a driver’s level of attention before an event affects how quickly they can respond to a cyber-attack. Forty-five participants used a driving simulator where they first engaged in different levels of non-driving tasks and then experienced simulated cyber-attack scenarios. We measured their awareness, attention, stress levels, workload, and how fast they reacted.
Using a modeling approach called a Bayesian Network, we found that drivers who were more aware of their surroundings before the attack responded more quickly during the attack. This suggests that a driver’s “readiness” before something happens plays a key role in safety.
These findings highlight the importance of designing vehicle systems that help drivers stay mentally engaged, even during automated driving, to improve their ability to respond to unexpected risks.
In this study, we examined how a driver’s level of attention before an event affects how quickly they can respond to a cyber-attack. Forty-five participants used a driving simulator where they first engaged in different levels of non-driving tasks and then experienced simulated cyber-attack scenarios. We measured their awareness, attention, stress levels, workload, and how fast they reacted.
Using a modeling approach called a Bayesian Network, we found that drivers who were more aware of their surroundings before the attack responded more quickly during the attack. This suggests that a driver’s “readiness” before something happens plays a key role in safety.
These findings highlight the importance of designing vehicle systems that help drivers stay mentally engaged, even during automated driving, to improve their ability to respond to unexpected risks.
Event Type
Lecture
TimeThursday, October 22nd3pm - 3:20pm PDT
Location
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