System and method for managing behavior change applications for mobile users

• US 9,672,472 B2
• Filed: 06/07/2013
• Issued: 06/06/2017
• Est. Priority Date: 06/07/2013
• Status: Expired due to Fees

• Current Assignee: Mobiquity, Inc. (Hexaware Technologies Limited)
• Original Assignee: Mobiquity, Inc. (Hexaware Technologies Limited)
• Inventors: Rozal, Gregory Paul, Nanopoulos, Andrew, Snyder, Scott Andrew, Rollin, Stephen Tyler
• Primary Examiner(s): Chaki, Kakali
• Assistant Examiner(s): Zidanic, Michael
• Application Number:
  US13/913,117
• Publication Number:
  US 20140365408A1
• Time in Patent Office: 1,460 Days
• Field of Search: None
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

An example system and method for managing behavior change applications for mobile users is disclosed. In an embodiment of the system and method, data on a plurality of users in a behavioral change program is received from a plurality of devices operating in a communications network. The data is used to determine plurality of user segments. Each user of the plurality of users is classified into a one of the plurality of user segments. Then a plurality of behavioral models is determined, where each of the plurality of behavioral models comprises a statistical model of relations between behaviors of users within a corresponding one of the plurality of user segments. An intervention model is then determined for a user, where the intervention model is based on a behavior model of the user segment to which the user belongs. Interventions are then sent to a device of the user according to the intervention model.

Claims

1. A system for managing behavior change applications receiving data associated with a plurality of users operating a plurality of devices in a communications network and delivering interventions to the plurality of users, the system comprising:

one or more servers computers including application programs which when executed cause the one or more servers computers to control the system to;

receive a first data set from a plurality of applications, each of the plurality of applications implemented on one of the plurality of devices and collecting data associated with one of the plurality of users for the first data set, wherein the first data set includes activity information of the plurality of users and user attributes of the plurality of users;

determine a plurality of user segments for a behavioral change program based on the received first data set, the plurality of user segments each including a subset of the plurality of first users;

determine a second data set, the second data set being a subset of the first data set and associated with a selected user segment of the plurality of user segments;

determine a behavioral model for the selected user segment, the behavioral model comprising a statistical model of relations based on the second data set;

receive a third data set from a selected application of the plurality of applications that is associated with a selected user and a selected device, wherein the third data set includes activity information of the selected user and user attributes of the selected user;

classify the selected user into the selected user segment of the plurality of user segments based on the third data set;

determine an intervention model for the selected user based on the behavior model for the selected user segment, and,

send an intervention to the selected application according to the intervention model, wherein the intervention comprises a notification perceptible at the selected device and the intervention is sent to change behavior indicated by the activity information of the selected user.

2. The system of claim 1, wherein the first data set includes activity information associated with a behavioral change program and the application programs further cause the one or more servers to control the system to:

store the first data set in a data fusion module; and

,

update the first data set in the data fusion module as activities of the plurality of users take place over time to generate an updated first data set for the plurality of users.

3. The system of claim 2, wherein the plurality of application programs further cause the one or more servers to control the system to:

receive the updated first data set for the plurality of users and update the behavioral model for the selected user segment as the activities of the plurality of users take place over time.

4. The system of claim 1, wherein the intervention comprises a first intervention and the application programs further cause the one or more servers to control the system to send a second intervention to the selected application according to the intervention model in response to receiving a fourth data set from the selected application.

5. The system of claim 1, wherein the application programs further cause the one or more servers to control the system to determine the intervention model for the selected user based on the behavior model for the selected user segment by:

determining a conditional state of the selected user from the third data set; and

,

mapping the conditional state to the intervention model.

6. The system of claim 1, wherein the first data set received from the plurality of applications comprises data received from sensors in at least one of the plurality of devices.

7. The system of claim 1, wherein the first data set received from the plurality of applications comprises environmental data, contextual data, data from social networks and data input at a user interface to at least one of the plurality of devices.

8. One or more non-transitory computer readable storage media including instructions that, when executed by one or more server computers, cause the one or more server computers to:

receive a first data set from a plurality of applications, each of the plurality of applications implemented on one of the plurality of devices and collecting data associated with one of the plurality of users for the first data set, wherein the first data set includes activity information of the plurality of users and user attributes of the plurality of users;

determine a plurality of user segments for a behavioral change program based on the received first data set, the plurality of user segments each including a subset of the plurality of first users;

determine a second data set, the second data set being a subset of the first data set and associated with a selected user segment of the plurality of user segments;

determine a behavioral model for the selected user segment, the behavioral model comprising a statistical model of relations based on the second data set;

receive a third data set from a selected application of the plurality of applications that is associated with a selected user and a selected device, wherein the third data set includes activity information of the selected user and user attributes of the selected user;

classify the selected user into the selected user segment of the plurality of user segments based on the third data set,

determine an intervention model for the selected user based on the behavior model for the selected user segment, and,

send an intervention to the selected application according to the intervention model, wherein the intervention comprises a notification perceptible at the selected device and the intervention is sent to change behavior indicated by the activity information of the selected user.

9. The one or more computer readable storage media of claim 8, wherein the first data set includes activity information associated with a behavioral change program and the one or more computer readable storage media further include instructions to cause the one or more server computers to:

store the first data set in a data fusion module; and

,

update the first data set in the data fusion module as activities of the plurality of first users take place over time to generate an updated first data set for the plurality of first users.

10. The one or more computer readable storage media of claim 9, wherein the one or more computer readable storage media further include instructions to cause the one or more server computers to:

receive the updated first data set for the plurality of first users and update the behavioral models for the selected user segment as the activities of the plurality of first users take place over time.

11. The one or more computer readable storage media of claim 9, wherein the one or more computer readable storage media further include instructions to cause the one or more server computers to determine an intervention model for the selected user by determining a conditional state of the selected user from the third data set, and mapping the conditional state to the intervention model.

12. The one or more computer readable storage media of claim 8, wherein the one or more computer readable storage media further include instructions that, when executed, cause the selected application to:

receive the interventions sent from the one or more server computers; and

,

process and present the interventions to the selected user according to the intervention model.

13. A system for managing data associated with a plurality of applications on a plurality of devices operating in a communications network, the system comprising:

one or more server computers coupled to the communications network and configured to;

receive a first data set from a plurality of applications, each of the plurality of applications implemented on one of the plurality of devices and collecting data associated with one of the plurality of users for the first data set, wherein the first data set includes activity information of the plurality of users and user attributes of the plurality of users;

determine a plurality of user segments for a behavioral change program based on the received first data set, the plurality of user segments each including a subset of the plurality of first users;

determine a second data set, the second data set being a subset of the first data set and associated with a selected user segment of the plurality of user segments;

determine a behavioral model for the selected user segment, the behavioral model comprising a statistical model of relations based on the second data set;

receive a third data set from a selected application of the plurality of applications that is associated with a selected user, wherein the third data set includes first activity information of the selected user and user attributes of the selected user;

classify the selected user into the selected user segment of the plurality of user segments based on the third data set,

determine an intervention model for the selected user based on the behavior model for the selected user segment, and,

send a first intervention to the selected-application according to the intervention model, wherein the first intervention comprises a notification perceptible at a selected device of the plurality of devices on which the selected application is implemented and the intervention is sent to change behavior indicated by the first activity information of the selected user; and

,

receive a fourth data set from the selected application, the fourth data set being information on a response to the first intervention sent to the selected application, the fourth data including second activity information of the selected user indicating if the first intervention changed the behavior indicated by the first activity information of the selected user.

14. The system of claim 13, wherein the system further comprises the selected-device of the plurality of devices on which the selected application is implemented, the selected device comprising:

a controller, and,

a memory including application program instructions for the selected application that when executed cause the controller to control the selected device to;

send a portion of the third data set to the system;

receive the first interventions from the one or more server computers and process the intervention.

15. The system of claim 13, wherein the one or more server computers comprise a data fusion module configured to store the first data set and update the first data set as activities of the plurality of users take place over time.

16. The system of claim 13, wherein the one or more server computers are configured to determine the intervention model for the selected user by determining a conditional state of the selected user from the third data, and, mapping the conditional state to the intervention model.