METHOD FOR COMMUNICATING WELLNESS-RELATED COMMUNICATIONS TO A USER

• US 20150170531A1
• Filed: 12/16/2014
• Published: 06/18/2015
• 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
• Application Number:
  US14/572,648
• Publication Number:
  US 20150170531A1
• 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 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

One variation of a method for providing wellness-related communications to a user includes: applying a record of activity events performed by the user over a period of time to 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 response to the first communication from the user through the textual conversation feed; correlating the response with a human involvement trigger; based on the human involvement trigger, prompting a human coach to communicate with the user; and displaying a second communication within the textual conversation feed, the second communication entered by the human coach.

Claims

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

applying a record of activity events performed by the user over a period of time to 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 response to the first communication from the user through the textual conversation feed;

correlating the response with a human involvement trigger;

based on the human involvement trigger, prompting a human coach to communicate with the user; and

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

2. The method of claim 1, further comprising:

receiving a second response from the user to the second communication through the textual conversation feed;

correlating the second response with an automated involvement trigger;

based on the automated involvement trigger, applying the second response to the communication engine to generate a third communication for the user; and

displaying the third communication within the textual conversation feed.

3. The method of claim 1, wherein applying the record to the communication engine comprises:

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

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 receiving the response from the user comprises receiving a textual response entered by the user into a text field within the textual conversation feed;

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

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

5. The method of claim 1, wherein prompting the human coach to communicate with the user comprises identifying a group of human coaches currently available to communicate with the user and selecting the human coach from the group of human coaches based on a type of the human involvement trigger.

6. The method of claim 1, wherein prompting the human coach to communicate with the user comprises selecting the human coach previously in communication with the user through the textual conversation feed.

7. The method of claim 6, further comprising:

populating a set of template communications based on the response;

presenting the set of template communications to the human coach through an instance of a coaching interface associated with the human coach; and

presenting the response and a limited set of data from the record of activity events;

wherein displaying the second communication within the textual conversation feed comprises receiving, from the human coach, a selection for the second communication from the set of template communications and displaying a form of the second communication within the textual conversation feed.

8. The method of claim 7, wherein displaying the second communication within the textual conversation feed further comprises receiving, from the human coach, the second communication comprising a template communication, selected from the set of template communications, customized by the human coach based on the response and the limited set of data from the record of activity events.

9. The method of claim 1, estimating a relevance of previous communications within the textual conversation feed to the user at a current time and removing, from the textual conversation feed, a subset of previous communications of estimated relevance less than a threshold relevance.

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

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

11. The method of claim 1, wherein applying the record to the communication engine comprises collecting a first set of action data of the user from a wearable device worn by the user during the period of time, collecting a second set of action data of the user from a mobile computing device associated with the user during the period of time, 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.

12. The method of claim 1, further comprising prompting an associate of the user to select a third communication from a set of messages based on the human involvement trigger;

and displaying the third communication with the second communication within the textual conversation feed.

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

applying a record of activity events performed by the user over a period of time to 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 response to the first communication from the user through the textual conversation feed;

correlating the response with a human involvement trigger;

within the textual conversation feed, prompting the user to communicate with a human coach;

in response to receipt of confirmation to communicate with a human coach from the user, connecting the computing device to a communication device affiliated with a human coach;

applying a communication between the user and the human coach to the communication engine to select a second communication for the user; and

displaying the second communication within the textual conversation feed.

14. The method of claim 13:

wherein applying the record to the communication engine comprises passing data from the record into a decision tree to a first node within the decision tree and selecting the first communication, from a set of stock communications, corresponding to the first node;

wherein receiving the response from the user comprises receiving a textual response entered by the user into a text field within the textual conversation feed;

wherein correlating the response with the human involvement trigger comprises correlating the textual response with a response type and applying the response to the decision tree to move from the first node to a second node within the decision tree; and

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

15. The method of claim 13, wherein connecting the computing device to the communication device affiliated with the human coach comprises interfacing with a native telephonic application executing on the computer device to establish a telephone call between the computing device and the communication device.

16. The method of claim 13, further comprising selecting a subset of data from the record of activity events and transmitting the subset of data and the response to the communication device in response to receipt, from the user, of confirmation to communicate with the human coach.

17. The method of claim 13, wherein applying the record of activity events to the communication engine comprises applying the record of activity events to the communication engine corresponding to a wellness application affiliated with a third-party service, selected by the user, and hosted within the native wellness platform application executing on the computing device;

and wherein connecting the computing device to the communication device affiliated with the human coach comprises selecting the human coach affiliated with the third-party service.

18. The method of claim 13, wherein applying the record to the communication engine to generate the first communication comprises:

retrieving a user preference for tone of communications delivered to the user;

selecting a template communication for delivery to the user based on the record of activity events; and

customizing the template communication into the first communication based on the user preference for tone.

19. The method of claim 13, wherein applying the record to the communication engine to generate the first communication comprises determining a level of engagement of the user in a wellness program hosted within the native wellness platform application based on the record of activity events, defining a trigger for delivery of the first communication to the user, and setting a maximum frequency of communications to the user within a period of time based on the level of engagement;

and wherein displaying the first communication within the textual conversation feed comprises displaying the first communication within the textual conversation feed in response to detection of the trigger in the record of activity events based on a number of communications rendered within the textual communication feed within a current period of time falling below the maximum frequency of communications.

20. The method of claim 13, wherein applying the record to the communication engine comprises collecting a first set of action data of the user from a wearable device worn by the user during the period of time, collecting a second set of action data of the user from a mobile computing device associated with the user during the period of time, 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.