Driver behavior based vehicle application recommendation

• US 9,272,714 B2
• Filed: 04/28/2014
• Issued: 03/01/2016
• Est. Priority Date: 04/28/2014
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Rao, Manoharprasad K., Prakah-Asante, Kwaku O.
• Primary Examiner(s): Black, Thomas G
• Assistant Examiner(s): PAIGE, TYLER D
• Application Number:
  US14/263,477
• Publication Number:
  US 20150307106A1
• Time in Patent Office: 673 Days
• Field of Search: 701/29.1, 705/4, 709/219
• US Class Current: 1/1
• CPC Class Codes: B60W 2050/146 Display means
• CPC Class Codes: B60W 2540/30 Driving style
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 50/10 Interpretation of driver requests or demands
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A vehicle computing system may execute a recommendation application to identify driver characteristics descriptive of the driving style of a driver of the vehicle based at least in part on captured vehicle data, determine an application recommendation for a mobile application to be installed by the driver based on the driver characteristics, and to send the application recommendation to the driver.

Claims

1. A system for recommending applications, comprising:

a memory storing a recommendation application; and

a processor of a vehicle programmed to execute the recommendation application to

identify driver characteristics descriptive of a driving style of a driver of the vehicle based at least in part on captured vehicle data,

determine an application recommendation for a mobile application to be installed by the driver based on the driver characteristics, and

send the application recommendation to the driver.

2. The system of claim 1, wherein the processor is further programmed to execute the recommendation application to identify the mobile application by searching an application store according to criteria including at least one of:

applications that are popularly downloaded by other drivers associated with the driver characteristics, applications that are popularly utilized by other drivers associated with the driver characteristics, or applications that are highly-rated by other drivers associated with the driver characteristics.

3. The system of claim 2, wherein the driver characteristics are indicative of fuel inefficient driving, and the mobile application is configured to search the application store for a mobile application that is highly rated and configured to provide indications to the driver during inefficient driving conditions.

4. The system of claim 1, wherein the processor is further programmed to execute the recommendation application to identify the mobile application as being designed to improve a particular aspect of the driving style of the driver as indicated by the driver characteristics.

5. The system of claim 4, wherein the driver characteristics are indicative of a driver-specific driving issue, and the mobile application of the application recommendation is programmed to provide alerts to the driver to address the driver-specific driving issue.

6. The system of claim 5, wherein at least one of (i) the driver-specific issue is following too close, and the mobile application is configured to provide an alert to the driver when captured vehicle data is indicative of the vehicle following less than a predetermined threshold distance, (ii) the driver-specific issue is failure to utilize turn signals, and the mobile application is configured to provide an alert to the driver when captured vehicle data is indicative of the vehicle turning without signaling, or (iii) the driver-specific issue is driver drowsiness, and the mobile application is configured to provide an alert to the driver when captured vehicle data is indicative of driver drowsiness.

7. The system of claim 1, wherein the captured vehicle data includes information indicative of driver inputs to the vehicle and behavior of the vehicle responsive to the driver inputs.

8. The system of claim 1, wherein the processor is further programmed to execute the recommendation application to:

display the application recommendation to the driver by way of a human-machine interface of the vehicle;

receive a selection from the driver to install the mobile application; and

install the mobile application.

9. The system of claim 1, wherein the mobile application is installed on a nomadic device in communication with the processor.

10. A computer-implemented method comprising:

identifying driver characteristics descriptive of a driving style of the driver of a vehicle based at least in part on captured vehicle data indicative of driver inputs to the vehicle and behavior of the vehicle responsive to the driver inputs,

determining an application recommendation for a mobile application to be installed by the driver based on the driver characteristics, and

sending the application recommendation to the driver.

11. The method of claim 10, further comprising identifying the mobile application by searching an application store according to criteria including at least one of:

applications that are popularly downloaded by other drivers associated with the driver characteristics, applications that are popularly utilized by other drivers associated with the driver characteristics, or applications that are highly-rated by other drivers associated with the driver characteristics.

12. The method of claim 10, further comprising identifying the mobile application as being designed to improve a particular aspect of the driving style of the driver as indicated by the driver characteristics.

13. The method of claim 12, wherein the driver characteristics are indicative of a driver-specific driving issue, and the mobile application of the application recommendation is programmed to provide alerts to the driver to address the driver-specific driving issue.

14. The method of claim 10, further comprising:

displaying the application recommendation to the driver by way of a human-machine interface of the vehicle;

receiving a selection from the driver to install the mobile application; and

installing the mobile application.

15. The method of claim 10, wherein the mobile application is installed on a nomadic device in communication with the vehicle computing system.

16. A non-transitory computer-readable medium including instructions of a recommendation application that, when executed by a vehicle computing system, is configured to cause the vehicle computing system to:

identify driver characteristics descriptive of a driving style of a driver of the vehicle based at least in part on captured vehicle data indicative of driver inputs to the vehicle and behavior of the vehicle responsive to the driver inputs,

determine an application recommendation for a mobile application to be installed by the driver based on the driver characteristics, and

send the application recommendation to the driver.

17. The medium of claim 16, further including instructions configured to cause the vehicle computing system to identify the mobile application by searching an application store according to criteria including at least one of:

applications that are popularly downloaded by other drivers associated with the driver characteristics, applications that are popularly utilized by other drivers associated with the driver characteristics, or applications that are highly-rated by other drivers associated with the driver characteristics.

18. The medium of claim 16, further including instructions configured to cause the vehicle computing system to identify the mobile application as being designed to improve a particular aspect of the driving style of the driver as indicated by the driver characteristics.

19. The medium of claim 18, wherein the driver characteristics are indicative of a driver-specific driving issue, and the mobile application of the application recommendation is configured to provide alerts to the driver to address the driver-specific driving issue.

20. The medium of claim 16, further including instructions configured to cause the vehicle computing system to:

display the application recommendation to the driver by way of a human-machine interface of the vehicle;

receive a selection from the driver to install the mobile application; and

install the mobile application.