METHOD FOR PROVIDING WELLNESS-RELATED COMMUNICATIONS TO A USER

• US 20150294595A1
• Filed: 06/23/2015
• Published: 10/15/2015
• Est. Priority Date: 10/08/2012
• Status: Abandoned Application

• Current Assignee: LARK Technologies, Inc. (Abbvie Incorporated)
• Original Assignee: LARK Technologies, Inc. (Abbvie Incorporated)
• Inventors: Hu, Julia, Zira, Jeff, Fleischer, Stephen D.
• Application Number:
  US14/748,049
• Publication Number:
  US 20150294595A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

A method for providing wellness-related communications to a user including: at a computing system, processing a record of activity events performed by the user over a period of time with a communication engine to generate a first communication for the user, the communication engine supported within a native wellness platform application executing on a computing device affiliated with the user; displaying the first communication within a textual conversation feed within the native wellness platform application; receiving a first response to the first communication from the user through the textual conversation feed; generating a second communication upon processing the first response at the computing system; and displaying the second communication within the textual conversation feed, wherein the first and the second communications promote wellness of the user.

Claims

1. A method for providing wellness-related communications to a user comprising:

at a computing system, determining a record of activity events performed by the user over a period of time, from an activity dataset received from a computing device affiliated with the user;

generating a first communication for the user upon processing the record of activity events with a communication engine, the communication engine supported within a native wellness platform application executing on the computing device affiliated with the user and in communication with the computing system;

displaying the first communication within a textual conversation feed within the native wellness platform application;

receiving a first response to the first communication, the first response inputted by the user into the textual conversation feed; and

based upon the response to the first communication, displaying a second communication, generated by the communication engine, within the textual conversation feed.

2. The method of claim 1, wherein displaying the second communication comprises associating the first response with an automated involvement trigger upon processing the first response with the communication engine.

3. The method of claim 1, wherein processing the record of activity events with the communication engine comprises:

passing data from the record into a logic model to select a first node from a set of nodes defined within the logic model, the communication engine comprising the logic model;

selecting a first template communication, from a set of template communications, corresponding to the first node; and

customizing the first template communication with data from the record to generate the first communication.

4. The method of claim 3, wherein passing data from the record into the logic model to select the first node from the set of nodes defined within the logic model, comprises:

ranking a set of branches coupled to a previous node connected to the first node by at least one of the set of branches, wherein the set of branches exhibit non-mutually exclusive logic, and wherein ranking the set of branches includes;

determining a value of an appropriateness metric for each of the set of branches based upon at least one of the record of activity events and a historical communication dataset generated at a previous period of time before the period of time,

selecting a branch of the set of branches upon comparison of the value of the appropriateness metric for the branch to a threshold condition, the branch coupled to the first node,

and selecting the first template communication corresponding to the first node.

5. The method of claim 3, wherein processing the record of activity events with the communication engine comprises:

generating a logic subgraph from the logic model, the logic subgraph having a subset of nodes, including the first node, from the logic model, and

extracting a communication subgraph from the subset of nodes of the logic subgraph, the communication subgraph having a subset of communication nodes associated with a set of communications including the first communication and the second communication, and

providing the set of communications to the user, within the textual conversation feed, in a designed sequence.

6. The method of claim 5, wherein providing the set of communications of the communication subgraph to the user includes:

retrieving a second logic subgraph from the logic model, the second logic subgraph associated with at least one of activity of the user, sleep of the user, and diet of the user,

extracting a second communication subgraph from a second subset of communication nodes of the second logic subgraph, and

providing a second set of communications associated with the second subset of communication nodes to the user, within the textual conversation feed, in a second designed sequence.

7. The method of claim 1, further comprising:

processing at least one of

     1) an input provided by the user in response to at least one of the first communication and the second communication at a first time point of the period of time and

     2) an activity of the record of activity events that has occurred proximal in time to the first time point of the period of time;

retrieving a triggered communication that is appropriate for at least one of the input and the activity; and

providing the triggered communication to the user within the textual conversation feed, proximal in time to the first time point.

8. The method of claim 1, further comprising:

at the computing system, transitioning from a primary communication regime, associated with the first communication and the second communication, to a mission regime in response to an event trigger, the mission regime having a regimen of logic and communication graphs for progressive delivery to the user across a set of time points.

9. The method of claim 8, wherein the mission regime is configured to promote health of the user in at least one of:

a weight loss regime, a sleep improvement regime, a stress reduction regime, a diabetes prevention regime, and a hypertension prevention regime.

10. The method of claim 3, further comprising:

receiving a second response from the user to the second communication, the second response inputted by the user into the textual conversation feed;

associating the second response with a human involvement trigger upon processing the second response with the communication engine;

based on the human involvement trigger, initiating a conversation between the user and a human coach, within the textual conversation feed of the native wellness application; and

displaying a third communication within the textual conversation feed, the third communication entered by the human coach.

11. The method of claim 10, wherein receiving the second response from the user comprises receiving a textual response entered by the user within the textual conversation feed;

wherein associating the second response with the human involvement trigger comprises categorizing the textual response as a particular response type and applying the particular response type to the logic model to shift from the first node to a second node in the set of nodes within the logic model; and

wherein associating the response with the human involvement trigger comprises identifying the human involvement trigger corresponding to the second node.

12. The method of claim 1, wherein displaying the first communication within the textual conversation feed comprises displaying the first communication and a set of available responses to the first communication within the textual conversation feed;

and wherein receiving the first response from the user comprises receiving a selection for the first response from the set of available responses.

13. The method of claim 12, wherein processing the record of activity events with the communication engine comprises collecting a first set of action data of the user from the computing device associated with the user during the period of time, collecting a second set of action data from at least one of:

a wearable device worn by the user during the period of time and a health data aggregation module that retrieves data from a set of health applications executing on the computing device, and fusing the first set of action data and the second set of action data into discrete activity events performed by the user during the period of time.

14. A method for providing wellness-related communications to a user comprising:

at a computing system, determining a record of activity events performed by the user over a period of time, from an activity dataset received from a computing device affiliated with the user;

generating a first communication for the user upon processing the record of activity events with a communication engine, the communication engine supported within a native wellness platform application executing on the computing device affiliated with the user and in communication with the computing system;

displaying the first communication within a textual conversation feed within the native wellness platform application;

receiving a first response to the first communication, the first response inputted by the user into the textual conversation feed;

associating the first response with a human involvement trigger upon processing the first response with the communication engine;

based on the human involvement trigger, initiating a conversation between the user and a human coach, within the textual conversation feed of the native wellness application; and

displaying a second communication within the textual conversation feed, the second communication entered by the human coach.

15. The method of claim 14, wherein displaying the second communication within the textual conversation feed comprises displaying the first communication and a set of available responses to the first communication, to the human coach, within the textual conversation feed;

and wherein displaying the second communication comprises receiving a selection of one of the set of available responses from the human coach.

16. The method of claim 14, wherein initiating the conversation further comprises connecting a second computing device, affiliated with the human coach, to the computing device affiliated with the user, and wherein connecting the second computing device with the computing device comprises interfacing with a native telephonic application executing on the computing device to establish a telephone call between the computing device and the second computing device.

20. The method of claim 14, further comprising:

upon termination of the conversation between the human coach and the user, prompting the human coach to provide an input indicative of a health state of the user,

generating a second communication subgraph upon processing the input with a logic model of the communication engine, the second communication subgraph having a second subset of communication nodes associated with a second set of communications that promote improvement of the health state of the user, and

providing the second set of communications to the user, within the textual conversation feed, in a second designed sequence.