Device sensing

• US 10,430,887 B1
• Filed: 02/21/2014
• Issued: 10/01/2019
• Est. Priority Date: 02/21/2014
• Status: Active Grant

• Current Assignee: Allstate Insurance Company (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Parker, Carolyn, Johnson, Robert H., Suizzo, Nicholas A., Srey, Rothana, Willett, Sean P., Madigan, Regina, Zhang, Nan
• Primary Examiner(s): Campen, Kelly S
• Application Number:
  US14/186,222
• Time in Patent Office: 2,048 Days
• Field of Search: 705 4, 705 35, 705 36 R, 705 728
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

Systems, methods, apparatuses and computer-readable media for receiving data from one or more sensors associated with one or more home devices of a user, such as appliances, home systems, etc. and/or one or more sensors associated with a vehicle of the user, and/or receiving data associated with a lifestyle of the user are presented. In some examples, the data may aggregated and analyzed to assess risk associated with the user in order to determine or adjust an insurance rate or premium.

Claims

1. A system comprising:

a processing unit comprising a processor; and

a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the system to;

receive first data from signals received from a first sensing device, the first sensing device being in communication with a home device associated with a user and the first data comprising operating characteristics of the home device that are indicative of a performance of the home device and an approximate age of the home device;

receive second data from signals received from a second sensing device, the second sensing device being in communication with a vehicle associated with the user and the second data comprising operational parameters of the vehicle;

receive, from a third sensing device, third data comprising data indicative of a lifestyle habit of the user;

aggregate the first data, the second data, and the third data;

analyze the aggregated first data, second data, and third data to determine an overall risk associated with the user; and

in response to determining a likelihood of failure of the home device, based on the operating characteristics of the home device indicating an atypical performance or the approximate age exceeding an age threshold;

identify, based on the likelihood of failure of the home device and the overall risk associated with the user, an insurance premium for the user which is greater than a current insurance premium for the user;

generate a first offer including an incentive to maintain the current insurance premium upon replacement or repair of the home device;

cause a user device to display a notification of the identified insurance premium and the first offer;

receive additional first data from signals received from the first sensing device, the first sensing device being in communication with a repaired or replaced home device, the additional first data comprising operating characteristics of the repaired or replaced home device that are indicative of a performance and an approximate age of the repaired or replaced home device; and

maintain the current insurance premium for the user, based on a determination that the operating characteristics of the repaired or replaced home device indicate a typical performance or the approximate age does not exceed the age threshold.

2. The system of claim 1, wherein the identified insurance premium relates to one of homeowner'"'"'s insurance and renter'"'"'s insurance of the user, and

wherein the atypical performance of the home device is determined based on at least one of the operating characteristics of the home device satisfying a predefined threshold.

3. The system of claim 1, wherein the identified insurance premium relates to auto insurance of the user.

4. The system of claim 1, wherein the memory unit further stores instructions that, when executed, cause the system to:

in response to the identified insurance premium being greater than the current insurance premium, generate a second offer including an incentive to maintain the current insurance premium upon modification of a driving habit associated with the user and the vehicle, the driving habit identified from at least one of the operational parameters included in the second data.

5. The system of claim 1, wherein the memory unit further stores instructions that, when executed, cause the system to:

in response to the identified insurance premium being greater than the current insurance premium, generate a third offer including an incentive to maintain the current insurance premium upon modification of the lifestyle habit identified from the third data.

6. The system of claim 1, wherein the third data further comprises data indicative of an overall health of the user, and

wherein the lifestyle habit comprises at least one of an exercise habit and an eating habit.

7. The system of claim 6, wherein the third data is received at least in part via user input from the user.

8. A method comprising:

receiving, by a system having at least one processor, first data from signals received from a first sensing device, the first sensing device being in communication with a home device associated with a user and the first data comprising operating characteristics of the home device that are indicative of a performance of the home device and an approximate age of the home device;

receiving, by the system, second data from signals received from one or more second sensing devices, the one or more second sensing devices being in communication with a vehicle associated with the user and the second data comprising a number of occupants in the vehicle and operational parameters of the vehicle;

receiving, by the system and from a third sensing device, third data comprising data indicative of a lifestyle habit of the user;

aggregating, by the system, the first data, the second data, and the third data;

analyzing, by the system, the aggregated first data, second data, and third data to determine an overall risk associated with the user; and

in response to determining a likelihood of failure of the home device, based on the operating characteristics of the home device indicating an atypical performance or the approximate age exceeding an age threshold;

identifying, by the system and based on the likelihood of failure of the home device and the overall risk associated with the user, an insurance premium for the user which is greater than a current insurance premium for the user;

generating, by the system, a first offer including an incentive to maintain the current insurance premium upon replacement or repair of the home device;

causing, by the system and via a user device, display of a notification of the identified insurance premium and the first offer;

receiving, by the system, additional first data from signals received from the first sensing device, the first sensing device being in communication with a repaired or replaced home device, the additional first data comprising operating characteristics of the repaired or replaced home device that are indicative of a performance and an approximate age of the repaired or replaced home device; and

maintaining the current insurance premium for the user, based on a determination that the operating characteristics of the repaired or replaced home device indicate a typical performance or the approximate age does not exceed the age threshold.

9. The method of claim 8,

wherein the atypical performance of the home device is determined based on at least one of the operating characteristics of the home device satisfying a predefined threshold.

10. The method of claim 8, further comprising:

in response to the identified insurance premium being greater than the current insurance premium, generating, by the system, a second offer including an incentive to maintain the current insurance premium upon modification of a driving habit associated with the user and the vehicle, the driving habit identified from at least one of the operational parameters included in the second data.

11. The method of claim 8, further comprising:

in response to the identified insurance premium being greater than the current insurance premium, generating a third offer including an incentive to maintain the current insurance premium upon modification of the lifestyle habit identified from the third data.

12. The method of claim 8, wherein the third data further comprises data indicative of an overall health of the user,

wherein the lifestyle habit of the user comprises at least one of an exercise habit and an eating habit, and

wherein the second data further comprises data indicative of current potential sources of driver distraction in the vehicle and current conditions outside of the vehicle.

13. The method of claim 12, wherein the one or more second sensing devices includes one or more internal cameras and one or more external cameras and proximity sensors,

wherein the one or more internal cameras detect the number of occupants in the vehicle and the current potential sources of driver distraction in the vehicle, and

wherein the one or more external cameras and proximity sensors detect the current conditions outside of the vehicle.

14. The method of claim 12, wherein the current potential sources of driver distraction are detected by one or more internal cameras and comprise at least one of:

pets in the vehicle, phone usage in the vehicle, or unsecured objects in the vehicle.