Artificial intelligence uses driving dynamics and the physiological markers of motion sickness to develop driving styles that can help prevent it
Motion sickness is caused by a discrepancy in perception. The balance organ in the inner ear senses a movement that is not confirmed by other sense organs such as the eyes. This is most likely to happen when a passenger is concentrating on a screen or a book.
Researchers analysed the physiological markers that show the highest correlation with the subjective perception of motion sickness by individuals. They also examined how this correlates to the driving dynamics of a vehicle.
With this, the driver – or at some later time the control system running the automated vehicle – can identify at an early stage if someone in the vehicle is starting to feel ill, and can adapt driving characteristics accordingly.
As a consequence of this, individual data is obtained for every passenger in a vehicle, meaning that automated vehicles would actually be able to store the preferred driving style of each passenger.
These are early days in the development – but as a father and grandfather who has cleaned up smelly children’s messes inside cars more than once I heartily endorse ZF’s work.