HOME SENSOR DATA GATHERING FOR INSURANCE RATING PURPOSES

• US 20140136242A1
• Filed: 11/12/2012
• Published: 05/15/2014
• Est. Priority Date: 11/12/2012
• Status: Abandoned Application

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Reeser, Andrew, Call, Shawn M., Kennedy, Stacy L., Frey, Lisa Ann, Payne, Kevin, Jacob, Michael, Weekes, Jack
• Application Number:
  US13/674,582
• Publication Number:
  US 20140136242A1
• Time in Patent Office: Days
• US Class Current: 705/4
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

In a computer-implemented method of incentivizing low-loss behaviors, in-home data is received. The in-home data is generated by, or based on information generated by, a device located at a residence of an individual, and is indicative of one or both of (i) a utilization of the device and (ii) a condition monitored by the device. The method also includes determining, based on the received in-home data, an insurance premium adjustment for the individual, and providing an indication of the determined insurance premium adjustment.

Claims

1. A computer-implemented method of incentivizing low-loss behaviors, the method comprising:

receiving, via a computer, in-home data that is generated by, or based on information generated by, a device located at a residence of an individual, wherein the in-home data is indicative of one or both of (i) a utilization of the device and (ii) a condition monitored by the device;

determining, via a computer and based on the received in-home data, an insurance premium adjustment for the individual; and

providing, via a computer, an indication of the determined insurance premium adjustment.

2. The computer-implemented method of claim 1, wherein receiving in-home data generated by, or based on information generated by, a device located at a residence of an individual includes receiving data indicative of user settings of one or both of (i) a home security system located at the residence, or (ii) a home automation system located at the residence.

3. The computer-implemented method of claim 1, wherein determining, based on the received in-home data, an insurance premium adjustment for the individual includes:

monitoring data from the device to determine a behavior of one or more occupants of the residence; and

determining the insurance premium adjustment based on the determined behavior.

4. The computer-implemented method of claim 1, wherein receiving in-home data generated by, or based on information generated by, a device located at a residence of an individual includes receiving in-home data generated by, or based on information generated by, a device that includes a sensor.

5. The computer-implemented method of claim 4, wherein receiving in-home data generated by, or based on information generated by, a device located at a residence of an individual includes receiving in-home data generated by, or based on information generated by, a device that includes a water volume sensor, an electricity sensor, a gas sensor, or a thermostat.

6. The computer-implemented method of claim 4, wherein receiving in-home data generated by, or based on information generated by, a device located at a residence of an individual includes receiving in-home data generated by, or based on information generated by, a device that includes a carbon monoxide detector or a smoke detector.

7. The computer-implemented method of claim 4, wherein receiving in-home data generated by, or based on information generated by, a device located at a residence of an individual includes receiving in-home data generated by, or based on information generated by, a device that includes a motion sensor, a door sensor, or a window sensor.

8. The computer-implemented method of claim 7, wherein determining, based on the received in-home data, an insurance premium adjustment for the individual includes:

determining a pattern of occupancy associated with the residence of the individual; and

determining the insurance premium adjustment based on the determined pattern of occupancy.

9. The computer-implemented method of claim 1, wherein receiving in-home data generated by, or based on information generated by, a device located at a residence of an individual includes receiving in-home data generated by, or based on information generated by, a smart appliance.

10. The computer-implemented method of claim 1, wherein the in-home data includes data indicating one or more time periods during which (i) the device was utilized or (ii) the monitored condition was detected.

11. The computer-implemented method of claim 1, wherein receiving in-home data generated by, or based on information generated by, a device located at a residence of an individual includes receiving in-home data generated by, or based on information generated by, a device located at a residence of a current insurance policy holder.

12. The computer-implemented method of claim 1, further comprising:

receiving additional in-home data generated by, or based on information generated by, an additional device located at the residence of the individual, wherein

the additional in-home data is indicative of one or both of (i) a utilization of the additional device and (ii) a condition monitored by the additional device, and

determining an insurance premium adjustment for the individual is further based on the received additional in-home data.

13. The computer-implemented method of claim 1, further comprising:

determining whether the individual has opted into an incentives program, wherein at least one of (i) receiving in-home data, or (ii) determining an insurance premium adjustment, is in response to determining that the individual has opted into the incentives program.

14. The computer-implemented method of claim 1, wherein receiving in-home data includes automatically receiving in-home data via a communication network.

15. The computer-implemented method of claim 1, wherein determining an insurance premium adjustment for the individual includes determining an indication of loss likelihood based on (i) the received in-home data, and (ii) a known correlation between in-home data associated with one or more insurance policy holders and claims data associated with the one or more insurance policy holders.

16. A non-transitory computer-readable storage medium comprising computer-readable instructions to be executed on one or more processors of a system for incentivizing low-loss behaviors, the instructions when executed causing the one or more processors to:

receive in-home data generated by, or based on information generated by, a device located at a residence of an individual, wherein the in-home data is indicative of one or both of (i) a utilization of the device and (ii) a condition monitored by the device;

determine, based on the received in-home data, an insurance premium adjustment for the individual; and

provide an indication of the determined insurance premium adjustment.

17. The non-transitory computer-readable storage medium of claim 16, wherein the instructions when executed cause the one or more processors to determine, based on the received in-home data, an insurance premium adjustment for the individual at least in part by:

monitoring data from the device to determine a behavior of one or more occupants of the residence; and

determining the insurance premium adjustment based on the determined behavior.

18. The non-transitory computer-readable storage medium of claim 17, wherein the instructions when executed cause the one or more processors to determine, based on the received in-home data, an insurance premium adjustment for the individual at least in part by:

monitoring data from the device to determine a pattern of occupancy associated with the residence of the individual; and

determining the insurance premium adjustment based on the determined pattern of occupancy.

19. The non-transitory computer-readable storage medium of claim 16, wherein the instructions when executed further cause the one or more processors to determine the insurance premium adjustment for the individual at least in part by determining an indication of loss likelihood based on (i) the received in-home data, and (ii) a known correlation between in-home data associated with one or more insurance policy holders and claims data associated with the one or more insurance policy holders.

20. A computer-implemented method of identifying and incentivizing low-loss behaviors, the method comprising:

receiving, via a computer, first in-home data generated by, or based on information generated by, a plurality of devices located at a plurality of residences associated with a plurality of individuals;

receiving, via a computer, claims data associated with the plurality of individuals;

determining, via a computer and based on the first in-home data and the claims data, one or more in-home data patterns corresponding to an increased or decreased probability of incurring a recognizable loss;

receiving, via a computer, second in-home data generated by, or based on information generated by, a device located at a residence of an insurance policy holder;

determining whether the received second in-home data matches at least one of the one or more determined in-home data patterns;

in response to determining that the received second in-home data matches at least one of the one or more determined in-home data patterns, determining an insurance premium adjustment for the insurance policy holder; and

providing an indication of the determined insurance premium adjustment.

21. The computer-implemented method of claim 20, wherein:

the first in-home data comprises data indicative of one or both of (i) utilizations of some or all of the plurality of devices located at the plurality of residences associated with the plurality of individuals and (ii) conditions monitored by some or all of the plurality of devices located at the plurality of residences associated with the plurality of individuals; and

the second in-home data comprises data indicative of one or both of (i) a utilization of the device located at the residence of the insurance policy holder and (ii) a condition monitored by the device located at the residence of the insurance policy holder.

22. The computer-implemented method of claim 20, wherein:

determining one or more in-home data patterns corresponding to an increased or decreased probability of incurring a recognizable loss includes determining one or more ranges of device output values; and

determining whether the received second in-home data matches at least one of the one or more determined in-home data patterns includes determining whether the received second in-home data falls within at least one of the one or more ranges of device output values.

23. The computer-implemented method of claim 20, further comprising:

determining whether the insurance policy holder has opted into an incentives program, wherein at least one of (i) receiving second in-home data, or (ii) determining an insurance premium adjustment, is in response to determining that the insurance policy holder has opted into the incentives program.

24. The computer-implemented method of claim 20, further comprising:

determining that each individual of the plurality of individuals has opted into an incentives program.