Granted Patent B2

US 10,413,779 · App. 15/186,169 · Granted Sep 17, 2019

Inventors: Paul Ingram (Poulsbo, WA); Elizabeth Quinn (Seattle, WA); Travis McElfresh (Redmond, WA)

Assignee: Welltok, Inc.

A63B24/0062A61B5/0022A61B5/1118A63B24/0059A63B71/0622G06Q10/0639G06Q10/109G06Q10/1097G09B5/125G09B7/04G09B19/00G09B19/003H04W4/02A63B2024/0065A63B2024/0068

Abstract

Claims (52)

1. A method implemented by a computing system to modulate a set of tasks associated with a plurality of wellness programs, the method comprising:

for each wellness program in a plurality of wellness programs associated with a user:

retrieving a time remaining to complete the wellness program;

retrieving tasks remaining to complete the wellness program;

determining a recommended number of tasks to be completed in a next task period based on the time remaining to complete each wellness program and a total number of tasks remaining for each the wellness program;

retrieving state data associated with the health of the user based on obtaining sensor data from a sensor;

retrieving environment data based on a location of the user based on determining the location of a mobile device associated with the user;

selecting a set of recommended tasks for the user to complete in the next task period, the recommended tasks selected from the tasks remaining to complete for each wellness program, the selection based on the recommended number of tasks to be completed in the next task period, the user state data, and the user environment data;

providing the selected set of recommended tasks to the user; and

generating a revised set of recommended tasks for the user based on updated user state data, updated user environment data, and task completion progress for the user.

2. The method of claim 1 , wherein generating the revised set of recommended tasks comprises:

tracking the task completion progress by the user; and

after a triggering event:

retrieving the updated user state data and the updated user environment data,

determining a second recommended number of tasks to be completed based on the time remaining to complete each wellness program and a total number of tasks remaining for each the wellness program; and

generating a modified recommended set of tasks for the user based on the updated user state data, the updated user environment data, and the second recommended number of tasks.

3. The method of claim 2 , wherein the first triggering event is a task period elapsing, a request to add a new wellness program to the wellness program itinerary, or an indication that all tasks in the recommended set of tasks have been completed.

4. The method of claim 1 , wherein the user environment data is further based on retrieved weather conditions associated with the location of the user.

5. The method of claim 1 , wherein retrieving user environment data comprises retrieving information on surrounding landmarks based on the location of the user.

6. The method of claim 2 , wherein tracking progress of task completion for the user comprises querying the user to determine whether a task has been completed or receiving data from a mobile device associated with the user that reflects that the task has been completed.

7. The method of claim 1 , wherein the state data associated with the health of the user is further based on medical records received from a health provider service.

8. The method of claim 1 ,

wherein the user state data includes data that indicates a task has a physical requirement, and

wherein selecting the set of recommended tasks comprises identifying tasks capable of being performed by the user with the physical requirement.

9. The method of claim 1 , wherein the determined location of the mobile device associated with the user is based on determined Global Positioning System (GPS) coordinates.

10. The method of claim 1 , wherein the next task period is a single day, two days, or a week.

11. A non-transitory computer-readable storage medium containing instructions that, when executed by one or more processors, perform to modulate a number of tasks provided to a user, the method comprising:

for each wellness program in a plurality of wellness programs associated with a user:

retrieving a time remaining to complete the wellness program;

retrieving tasks remaining to complete the wellness program;

determining a recommended number of tasks to be completed in a next task period based on the time remaining to complete each wellness program and a total number of tasks remaining for each the wellness program;

retrieving state data associated with the health of the user based on obtaining sensor data from a sensor;

retrieving environment data based on a location of the user based on determining the location of a mobile device associated with the user;

selecting a set of recommended tasks for the user to complete in the next task period, the recommended tasks selected from the tasks remaining to complete for each wellness program, the selection based on the recommended number of tasks to be completed in the next task period, the user state data, and the user environment data;

providing the selected set of recommended tasks to the user; and

generating a revised set of recommended tasks for the user based on updated user state data, updated user environment data, and task completion progress for the user.

12. The non-transitory computer-readable storage medium of claim 11 , wherein generating the revised set of recommended tasks comprises:

tracking task completion progress by the user; and

after a triggering event:

retrieving the updated user state data and the updated user environment data,

determining a second recommended number of tasks to be completed based on the time remaining to complete each wellness program and a total number of tasks remaining for each the wellness program; and

generating a modified recommended set of tasks for the user based on the updated user state data, the updated user environment data, and the second recommended number of tasks.

13. The non-transitory computer-readable storage medium of claim 12 , wherein the first triggering event is a task period elapsing, a request to add a new wellness program to the wellness program itinerary, or an indication that all tasks in the recommended set of tasks have been completed.

14. The non-transitory computer-readable storage medium of claim 11 , wherein the user environment data is further based on retrieved weather conditions associated with the location of the user.

15. The non-transitory computer-readable storage medium of claim 11 , wherein retrieving user environment data comprises retrieving information on surrounding landmarks based on the location of the user.

16. The non-transitory computer-readable storage medium of claim 12 , wherein tracking progress of task completion for the user comprises querying the user to determine whether a task has been completed or receiving data from a mobile device associated with the user that reflects that the task has been completed.

17. The non-transitory computer-readable storage medium of claim 11 , wherein the state data associated with the health of the user is further based on medical records received from a health provider service.

18. The non-transitory computer-readable storage medium of claim 11 ,

wherein the user state data includes data that indicates a user has a physical requirement, and

wherein selecting the set of recommended tasks comprises identifying tasks capable of being performed by the user with the physical requirement.

19. The non-transitory computer-readable storage medium of claim 11 , wherein the determined location of the mobile device associated with the user is based on determined Global Positioning System (GPS) coordinates.

20. The non-transitory computer-readable storage medium of claim 11 , wherein the next task period is a single day, two days, or a week.

Assignments (9)

Continuity (1)

Cited By (6)

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