Method of determining a risk score or insurance cost using risk-related decision-making processes and decision outcomes

• US 20150161738A1
• Filed: 02/17/2014
• Published: 06/11/2015
• Est. Priority Date: 12/10/2013
• Status: Abandoned Application

• Current Assignee: Advanced Insurance Products & Services Incorporated
• Original Assignee: Advanced Insurance Products & Services Incorporated
• Inventors: Stempora, Jeffrey
• Application Number:
  US14/182,002
• Publication Number:
  US 20150161738A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

In one embodiment, a method of generating a risk score, a cost of insurance, or a risk score and a cost of insurance for at least one individual comprises directly monitoring or inferring the risk-related decision-making processes and directly monitoring the resulting decision outcomes for decisions. The method may further comprise correlating risk-related decision-making processes and the decisions with the resulting decision outcomes. In another embodiment, the method further comprises building cognitive maps for one or more individuals, acquiring contextual data related to the decisions, or prospectively determining a probability of outcome for a risk-related situation using the one or more cognitive maps. In one embodiment, the insurance is automobile insurance and data is obtained through telematics and/or a portable device.

Claims

1. A method of generating a risk score, a cost of insurance, or a risk score and a cost of insurance for at least one individual based at least in part on a use of one or more specific risk-related decision-making processes and resulting decision outcomes, the method comprising:

a. receiving first input data from one or more first sensors of a portable or wearable device;

b. storing the first input data on a first non-transitory computer-readable media;

c. executing a decision-making process algorithm on a first processor, the decision-making process algorithm analyzes at least the first input data from the first non-transitory computer-readable media and statistically deduces or infers the use of one or more specific risk-related decision-making processes by the individual;

d. monitoring the resulting decision outcomes for decisions made by the at least one individual by receiving second input data, the second input data received from one or more second sensors or data sources; and

e. generating the risk score, the cost of insurance, or the risk score and the cost of insurance for the at least one individual based at least in part on one or more correlations between the use of the one or more specific risk-related decision-making processes and the decisions with the resulting decision outcomes.

2. The method of claim 1 further comprising storing data representing the risk-related decision-making processes and the decisions made by the at least one individual in different risk-related situations on a second non-transitory computer-readable media.

3. The method of claim 1 further comprising storing data representing a plurality of risk-related decision-making processes and decisions made by a plurality of individuals in different risk-related situations obtained from a plurality of portable of wearable devices on a second non-transitory computer-readable media.

4. The method of claim 1 further comprising:

a. storing third data representing risk-related decision-making processes and decisions made by the at least one individual in different risk-related situations on a second non-transitory computer-readable device; and

b. executing a propensity model algorithm, the propensity model algorithm generating data representing a prospective determination of a probability of outcome for a risk-related situation.

5. The method of claim 4 wherein the propensity model algorithm identifies one or more patterns, relationships, degree of influence, or generalizations between one or more of the risk-related decision-making processes and one or more of the decisions.

6. The method of claim 1 wherein receiving the first input data occurs during a first period of time of operation of the portable or wearable device by the at least one individual;

the method further comprising generating an initial underwriting profile for the at least one individual prior to the first period of time.

7. The method of claim 1 wherein the first input data includes data representing operation of a vehicle by the at least one individual, and the risk score, the cost of insurance, or the risk score and the cost of insurance relate to the risk associated with operation of the vehicle by the at least one individual.

8. The method of claim 1 wherein the risk score, the cost of insurance, or the risk score and the cost of insurance relate to the risk associated with the performance of a first task by the at least one individual;

and one or more of the decisions is associated with the performance of a second task different than the first task by the at least one individual.

9. The method of claim 8 wherein the first task includes operation of a vehicle and the second task is a task distracting from the operation of the vehicle.

10. The method of claim 1 wherein at least one of the resulting decision outcomes is a negative decision outcome.

11. The method of claim 1 wherein at least one of the resulting decision outcomes is a positive decision outcome.

12. The method of claim 1 further comprising acquiring contextual data related to the decisions made by the at least one individual.

13. The method of claim 7 wherein the vehicle comprises a telematics device and the decision-making process algorithm further analyzes at least the first input data and data from the telematics device.

14. The method of claim 1 wherein the decision-making algorithm statistically deduces or infers the use of one or more heuristic decision-making processes from the risk-related decision-making processes.

21. The method of claim 1 wherein the portable or wearable device comprises at least one transceiver, the method further comprising transmitting the first input data, the second input data, the risk score, the cost of insurance, or the risk score and cost of insurance to a processor remote from the portable or wearable device in wireless radio communication with the portable or wearable device using the at least one transceiver.

22. The method of claim 1 further comprising the portable or wearable device providing feedback information to the individual based at least in part on the one or more correlations, the feedback provided by the portable or wearable device is in the form of a visual notification, auditory notification, sensory notification, or an indirect notification.

23. The method of claim 22 wherein the portable or wearable device comprises a display, the feedback information is in the form of a visual notification, the visual notification including the portable device changing the display to indicate a risk related situation or a risk related behavior based on the one or more correlations.

15. A method of determining a risk score, a cost of insurance, or a risk score and a cost of insurance based at least in part on monitoring, recording, and communicating data associated with risk-related decisions, the method comprising:

a. monitoring or inferring a plurality of data elements obtained from one or more sensors of a portable or wearable device comprising a non-transitory computer readable medium, the plurality of data elements associated with risk-related decision-making processes, decisions, and decision outcomes made by at least one individual;

b. recording the plurality of data elements on the non-transitory computer readable medium;

c. communicating the plurality of data elements using a radio transceiver from the portable or wearable device to a device remote from the portable or wearable device; and

d. correlating one or more of the risk-related decision-making processes and decisions with one or more of the decision outcomes to produce a cost for the insurance using a first processor.

16. The method of claim 15 further comprising building a cognitive map comprising the plurality of data elements, the plurality of data elements associated with risk-related decision-making processes and decisions made by the at least one individual in different risk-related situations.

17. The method of claim 15 further comprising building a plurality of cognitive maps comprising a second plurality of data elements associated with risk-related decision-making processes and decisions made by a plurality of individuals in different risk-related situations.

18. A method of monitoring data representative of risk-related decisions made by at least one individual, the method comprising:

a. extracting first input data from one or more sensors on a portable or wearable device, the first input data associated with risk-related decision-making processes, decisions, and decision outcomes for decisions made by the at least one individual;

b. analyzing the first input data using a first processor executing a first algorithm, the first algorithm correlating one or more of the risk-related decision-making processes and the decisions with one or more of the decision outcomes to produce one or more correlations that can be used to produce a risk score or cost for insuring the at least one individual;

c. monitoring second input data from the one or more sensors of the portable or wearable device; and

d. processing the second input data to identify a risk-related situation or decision based on the one or more correlations.

19. The method of claim 18 further comprising building a cognitive map of data comprising at least the first input data and the second input data, the cognitive map of data associated with risk-related decision-making processes and decisions made by the at least one individual in different risk-related situations.

20. The method of claim 18 further comprising building a plurality of cognitive maps comprising a plurality of data sets, the plurality of data sets comprising at least the first input data and the second input data, the plurality of data sets associated with risk-related decision-making processes and decisions made by a plurality of individuals in different risk-related situations.