With Ford Motor Company, we are investigating the topic of "motion sickness". Behind this term is a condition that most people have already had to experience painfully: nausea, dizziness or headaches. Especially when reading in a car, where the sense of balance and visual perception differ greatly, the effect is intensified. Motion sickness is increasingly to be expected in an automated driving vehicle. The goal is therefore to develop AI algorithms and MMI (human-machine interface) systems that are capable of recognizing motion sickness on a situation-specific basis and reducing or even avoiding its occurrence.
For exploration, we developed both the speech elements and some visual components. Here, the test drivers are encouraged to look out the window, read something, and communicate their condition in different driving maneuvers or situations, for example. Our voice assistant SUSI interacts with the test drivers at regular intervals and determines the motion sickness level. The test results are then analyzed and provide information about the effects of the environment, for example.
