The development was shown by Jaguar Land Rover. It is believed to allow less distraction for drivers and reduce the risk of spreading bacteria and viruses.

Jaguar Land Rover engineers have worked with a team from the University of Cambridge to develop predictive touch technology, which uses artificial intelligence to predict the driver’s actions. “Touchscreens are used by most people several times a day, but while on the move – be it driving or jogging – it can be difficult,” said Simon Godsill, project manager.

To determine which element on the screen is going to be selected by the driver, the device uses machine learning and contextual information: interface design, data from the user profile, and the weather. To monitor a person, motion sensors and eye-tracking sensors are built into the screen. The screen understands the driver’s intention and executes it before touching the screen, which speeds up the device’s response.

The interface is flexible and simple enough, moreover, it can be personalized. “Our technology supports intuitive interactions with legacy interfaces and requires no user training,” said Dr. Bashar Ahmad, who led the development.

Laboratory and road tests have shown that the time and energy that a person spends on touchscreen operation is reduced by 50% thanks to the new technology. In addition, it will allow you to avoid incorrect clicks that occur due to the shaking of the car while driving.

The developers are confident that the device brings the company closer to the concept of Destination Zero Vision, which assumes zero deaths on the roads and the absence in the car of objects that distract the driver, and also makes the environment cleaner. “This technology enables us to make vehicles safer by reducing the cognitive load on drivers and increasing the amount of time they spend on the road,” said Lee Skripchuk, technician at Jaguar Land Rover.

According to company representatives, predictive touch will be popular after the end of the coronavirus pandemic, when all restrictions are lifted. “Most of the day-to-day work is done using touch screens, whether it is buying tickets and goods at self-service checkouts, using ATMs and many production applications,” added the experts. Because of this, bacteria and viruses are constantly on the screens, which makes them dangerous. The technology allows a person not to touch the surface and reduces the risk of disease.

In the future, the development can be built into existing touch screens and interactive displays of devices that support machine learning. The authors believe it will also be useful when creating 2D and 3D displays that do not have a physical surface.