UCL tracks eyes in autopilot cars

Drivers' ability to refocus on driving in a driverless autopilot mode was found to be slower to respond to real world signals when using screens. 

In a study, published in Cognitive Research: Principles and Implications, UCL-led researchers examined drivers' gaze to track how quickly they were able to take control of auto-pilot cars using their eye movement patterns, based on whether they were engaged in the easy or demanding task. Participants who were more engrossed in the on-screen activity took longer to react to the car's 'take-over' signals. 

Senior author and Professor Nilli Lavie at UCL Institute of Cognitive Neuroscience said: 'Driverless car technology is fast advancing and promises a more enjoyable and productive driving experience, where drivers can use their commuting time for other non-driving tasks.