System and method for real-time customization of presentation features of a vehicle
A controller and method for real-time customization of presentation features of a vehicle. A method includes collecting a first dataset about a knowledge level of an operator of the vehicle, wherein the first dataset is collected with respect to a feature of the vehicle; collecting, using at least one sensor, a second dataset regarding an external environment of the vehicle and a cabin of the vehicle; determining, based on the first dataset and the second dataset, a presentation feature from a plurality of presentation features associated with the feature of the vehicle; customizing the presentation feature based on at least the first dataset, wherein the customization is performed in real-time when the operator operates the vehicle; and presenting the presentation feature to the operator of the vehicle.
1. A method for real-time customization of presentation features of a vehicle, comprising:
collecting a first dataset about a knowledge level of an operator of the vehicle, wherein the first dataset is collected with respect to a feature of the vehicle;
collecting, using at least one sensor, a second dataset regarding an external environment of the vehicle and a cabin of the vehicle;
determining, based on the first dataset and the second dataset, a presentation feature from a plurality of presentation features associated with the feature of the vehicle;
customizing the presentation feature based on at least the first dataset, wherein the customization is performed in real-time when the operator operates the vehicle; and
presenting the presentation feature to the operator of the vehicle.
2. The method of claim 1 , wherein determining the at least one presentation feature further comprises:
applying a machine learning model on the collected second dataset; and
analyzing the first dataset with an output of the machine learning model.
3. The method of claim 1 , wherein the presentation feature includes a plurality of indicators.
4. The method of claim 1 , further comprising:
selecting one or more indicators of the presentation feature; and
individually customizing each of the selected one or more indicators.
5. The method of claim 1 , wherein the knowledge level of the operator is further indicative of a cognitive state of the operator.
6. The method of claim 5 , wherein the knowledge level of the operator is further indicative of any one of: training, skill, and comfort of the operator with the feature.
7. The method of claim 1 , wherein the feature of the vehicle is any function of any automated driving system of the vehicle.
8. The method of claim 1 , wherein the first dataset is collected using at least one sensor.
9. The method of claim 1 , wherein the second dataset includes data related to conditions of the vehicle.
10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:
collecting a first dataset about a knowledge level of an operator of the vehicle, wherein the first dataset is collected with respect to a feature of the vehicle;
collecting, using at least one sensor, a second dataset regarding an external environment of the vehicle and a cabin of the vehicle;
determining, based on the first dataset and the second dataset, a presentation feature from a plurality of presentation features associated with the feature of the vehicle;
customizing the presentation feature based on at least the first dataset, wherein the customization is performed in real-time when the operator operates the vehicle; and
presenting the presentation feature to the operator of the vehicle.
11. A controller for real-time customization of presentation features presentation of a vehicle, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
collect a first dataset about a knowledge level of an operator of the vehicle, wherein the first dataset is collected with respect to a feature of the vehicle;
collect, using at least one sensor, a second dataset regarding an external environment of the vehicle and a cabin of the vehicle;
determine, based on the first dataset and the second dataset, a presentation feature from a plurality of presentation features associated with the feature of the vehicle;
customize the presentation feature based on at least the first dataset, wherein the customization is performed in real-time when the operator operates the vehicle; and
present the presentation feature to the operator of the vehicle.
12. The controller of claim 11 , wherein the controller is further configured to:
apply a machine learning model on the collected second dataset; and
analyze the first dataset with an output of the machine learning model.
13. The controller of claim 11 , wherein the presentation feature includes a plurality of indicators.
14. The controller of claim 11 , wherein the controller is further configured to:
select one or more indicators of the presentation feature; and
individually customize each of the selected one or more indicators.
15. The controller of claim 11 , wherein the knowledge level of the operator is further indicative of a cognitive state of the operator.
16. The controller of claim 15 , wherein the knowledge level of the operator is further indicative of any one of: training, skill, and comfort of the operator with the feature.
17. The controller of claim 11 , wherein the feature of the vehicle is any function of any automated driving system of the vehicle.
18. The controller of claim 11 , wherein the first dataset is collected using at least one sensor.
19. The controller of claim 11 , wherein the second dataset includes data related to conditions of the vehicle.