Tracking drivers' eyes can determine ability to take back control from 'auto-pilot' mode

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Tracking drivers' eyes can determine ability to take back control from 'auto-pilot' mode
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A team of researchers has developed a new method to determine the attention levels of drivers and their readiness to respond to warning signals when using auto-pilot mode.

A team of UCL-led researchers has developed a new method to determine the attention levels of drivers and their readiness to respond to warning signals when using auto-pilot mode., found that people's attention levels and how engrossed they are in on-screen activities can be detected from their eye movements.

When using the auto-pilot mode, drivers are able to take their hands off the wheel and participate in other activities, such as playing games on their car-integrated central screen. Participants were required to search a computer screen with many coloured shapes for some target items and linger their gaze on targets to show they had found them.At later points in their search task, a tone would then sound and the participants were required to stop watching the screen as fast as they could and press a button in response to it.

The researchers also trained a machine learning model on this data and found that they could predict whether the participants were engaged in the easy or demanding task based on their eye movement patterns.

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