Eye-tracking technology could be used to design better collision avoidance warning systems and decrease the number of crashes caused by distracted driving.
Scientists from the University of Missouri observed how pupil size changed in response to a vehicle collision avoidance alert.
Jung Hyup Kim, an assistant professor at the University of Missouri, highlighted that scientists are aiming to develop a two-way communication channel between the car and vehicle to make warning systems safer.
“For instance, if a driver is aware of a possible crash, then the vehicle does not have to warn the driver as much. However, if a vehicle provides an alert that, by itself, creates a distraction, it could also cause a crash,” he said.
Eye movement data is also being used to reduce the risk of crashes caused by distractions.
Scientists monitored the eye movements of drivers as a crash happened.
“We saw the size of a person's pupil changed depending on the behavioural response to the severity of the accident,” Mr Kim said.
“Now, we want to take that data, find common patterns and build a model to test how we could help decrease distracted-driving crashes,” he added.
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