Search

CET and skills guides

Study and gain CET points through OT’s online CET exams, and access archived CET, CPD articles and skills guides in our education library

Find out more

Science and vision

News and features about the latest scientific developments and advances in optometry, ophthalmology and eye medicine

Find out more

Industry

News and features about the latest developments in optics with a focus on industry

Find out more

Professional support

News and features about the latest developments relating to professional support from across optics. This includes updates from optical organisations such as the AOP and the GOC

Find out more

Jobs

Explore the latest UK and global jobs in the optical sector for optometrists, dispensing opticians and more

Find out more

Could eye-tracking technology help to reduce road accidents?

US researchers have investigated how studying a driver’s eye movements could decrease crash risk

Lady driving

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.

Image credit: Pixabay/pexels

Advertisement