PREFERENCE LEARNING FOR ADAPTIVE OTA NOTIFICATIONS

• US 20190278581A1
• Filed: 03/12/2018
• Published: 09/12/2019
• Est. Priority Date: 03/12/2018
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: MILLER, Jason Michael, SANGAMESWARAN, Sangeetha, TSENG, Fling, MADRID, Daniel Joseph
• Granted Patent: US 10,534,602 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06F 9/4451 User profiles; Roaming

Abstract

A vehicle includes a controller and a processor. The processor is programmed to prompt the user with a selection to install a software update to the controller responsive to a user preference value, computed from user selections whether or not to install software updates associated with contextual information that matches a software update to be installed, exceeding a threshold defined by a priority of the software update, and update the user preference value per the selection.

Claims

1. A vehicle comprising:

a controller; and

a processor, programmed to

prompt for a selection to install a software update to the controller responsive to a user preference value exceeding a threshold defined by a priority of the software update, the user preference value being computed from historical selections of whether to install software updates that correspond to contextual information that matches a software update to be installed, and

update the user preference value per the selection.

2. The vehicle of claim 1, wherein the contextual information includes time, day, and vehicle location.

3. The vehicle of claim 1, wherein the user preference value is an average of user preference values for a plurality of profiles matching the contextual information of the software update.

4. The vehicle of claim 1, wherein the priority includes one of a low priority defining a first threshold value, a medium priority defining a second threshold value lower than the first threshold value, or a high priority defining a third threshold value lower than the second threshold value.

5. The vehicle of claim 1, wherein the processor is further programmed to:

receive the user preference value from an update server,

download the software update from the update server, and

send the selection to the update server to cause the update server to update the user preference value.

6. The vehicle of claim 5, wherein the processor is further programmed to receive a manifest from the update server specifying a plurality of updates to be installed, the software update being included in the manifest.

7. A method comprising:

receiving a trained user preference value from a server per contextual information indicating time, day, and location of a vehicle;

prompting for a response to install a software update to the vehicle responsive to the user preference value exceeding a threshold defined by a priority of the software update;

installing the update when the response affirms installation; and

sending the response to the server to further train the user preference value.

8. The method of claim 7, further comprising computing the user preference value as an average of user preference values for a plurality of profiles matching the contextual information of the software update.

9. The method of claim 7, wherein the priority includes one of low priority defining a first threshold value, a medium priority defining a second threshold value lower than the first threshold value, or a high priority defining a third threshold value lower than the second threshold value.

10. The method of claim 7, further comprising:

receiving the user preference value from an update server,

downloading the software update from the update server, and

sending the response to the update server to cause the update server to update the user preference value.

11. The method of claim 10, further comprising receiving a manifest from the update server specifying a plurality of updates to be installed, the software update being included in the manifest.

12. The method of claim 7, further comprising prompting for the response using a display screen of the vehicle.

13. The method of claim 7, further comprising receiving the response using human-machine input (HMI) controls of the vehicle.

14. A system comprising:

a memory storing a plurality of user preference values;

a processor, programmed to

send, to a vehicle, a user preference value matching contextual information received in a request from the vehicle, the vehicle using the user preference value to determine whether to prompt the user to install a software update;

receive a selection from the vehicle in response to the prompt; and

update the user preference value according to the selection.

15. The system of claim 14, wherein the contextual information includes time, day, and vehicle location.

16. The system of claim 14, wherein the user preference value is an average of user preference values for a plurality of profiles matching the contextual information.

17. The system of claim 14, wherein the processor is further programmed to send, to the vehicle, a manifest specifying a plurality of updates to be installed, the software update being included in the manifest.