New contactless touchscreen technology developed by Jaguar Land Rover and the University of Cambridge will help keep drivers’ eyes on the road and reduce the spread of bacteria and virusesin a post Covid-19 world.
The patented technology, known as ‛predictive touch’, uses artificial intelligence and sensors to predict a user’s intended target on the touchscreen - whether that’s satellite navigation, temperature controls or entertainment settings - without touching a button.
Lab-tests and on-road trials showed the predictive touch technology could reduce a driver’s touchscreen interaction effort and time by up to 50%, as well as limiting the spread of bacteria and viruses.
Uneven or poor road surfaces can often cause vibrations that make it difficult to select the correct button on a touchscreen. This means drivers must take their attention away from the road, increasing the risk of an accident.
The technology uses artificial intelligence to determine the item the user intends to select on the screen early in the pointing task, speeding up the interaction. A gesture tracker uses vision-based or radio frequency-based sensors, which are increasingly common in consumer electronics, to combine contextual information such as user profile, interface design and environmental conditions with data available from other sensors, such as an eye-gaze tracker, to infer the user’s intent in real time.
This software-based solution for contactless interactions has reached high technology readiness levels and can be seamlessly integrated into existing touchscreens and interactive displays, so long as the correct sensory data is available to support the machine learning algorithm.
The patented technology, known as ‛predictive touch’, uses artificial intelligence and sensors to predict a user’s intended target on the touchscreen - whether that’s satellite navigation, temperature controls or entertainment settings - without touching a button.
Lab-tests and on-road trials showed the predictive touch technology could reduce a driver’s touchscreen interaction effort and time by up to 50%, as well as limiting the spread of bacteria and viruses.
Uneven or poor road surfaces can often cause vibrations that make it difficult to select the correct button on a touchscreen. This means drivers must take their attention away from the road, increasing the risk of an accident.
The technology uses artificial intelligence to determine the item the user intends to select on the screen early in the pointing task, speeding up the interaction. A gesture tracker uses vision-based or radio frequency-based sensors, which are increasingly common in consumer electronics, to combine contextual information such as user profile, interface design and environmental conditions with data available from other sensors, such as an eye-gaze tracker, to infer the user’s intent in real time.
This software-based solution for contactless interactions has reached high technology readiness levels and can be seamlessly integrated into existing touchscreens and interactive displays, so long as the correct sensory data is available to support the machine learning algorithm.
