Active vehicle virtual reality prevention of predictive motion sickness

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• before navigating in an autonomous vehicle by a specific passenger, train a prediction motion system to predict reactions of the specific passenger, comprising:
• simulate various driving conditions using a virtual reality system while the specific passenger resides in a seat of the autonomous vehicle;
• measure a set of reactions from the specific passenger to the simulated driving conditions;
• and
• store the simulated driving conditions and the set of reactions in a passenger profile associated with the specific passenger in a passenger profile database;
• after training of the prediction motion system, receive, from an autonomous navigation system of the autonomous vehicle, upcoming driving conditions for a ride, wherein the specific passenger is to be in the seat of the autonomous vehicle during the ride;
• retrieve the passenger profile associated with the specific passenger from the passenger profile database;
• input into a cognitive model the upcoming driving conditions, the simulated driving conditions in the passenger profile, and the set of reactions in the passenger profile;
• obtain, from the cognitive model, a prediction of a cognitive state that the specific passenger will have during navigation of the upcoming driving conditions;
• in response to the prediction of the cognitive state, determine a first set of commands for a set of actuators coupled to the seat and a second set of commands for the virtual reality system that match the predicted cognitive state of the specific passenger;
• and
• during the ride, execute the first set of commands by the set of actuators and execute the second set of commands by the virtual reality system.

A system comprising:

• a virtual reality system;
• a set of actuators coupled to a seat of an autonomous vehicle;
• and
• a predictive motion system, wherein before navigating in the autonomous vehicle by a specific passenger, the predictive motion system is trained to predict reactions of the specific passenger, comprising:
• simulates, by the virtual reality system, various driving conditions while the specific passenger resides in a seat of the autonomous vehicle;
• measures a set of reactions from the specific passenger to the simulated driving conditions;
• and
• stores the simulated driving conditions and the set of reactions in a passenger profile associated with the specific passenger in a passenger profile database;
• wherein after training, the prediction motion system:
• receives, from an autonomous navigation system of the autonomous vehicle, upcoming driving conditions for a ride, wherein the specific passenger is to be in the seat of the autonomous vehicle during the ride;
• retrieves the passenger profile associated with the specific passenger from the passenger profile database;
• inputs into a cognitive model the upcoming driving conditions, the simulated driving conditions in the passenger profile, and the set of reactions in the passenger profile;
• obtains, from the cognitive model, a prediction of a cognitive state that the specific passenger will have during navigation of the upcoming driving conditions;
• in response to the prediction of the cognitive state, determines a first set of commands for a set of actuators coupled to the seat and a second set of commands for the virtual reality system that match the predicted cognitive state of the specific passenger;
• wherein during the ride, the set of actuators executes the first set of commands, and the virtual reality system executes the second set of commands.