METHOD AND SYSTEM FOR ENHANCING USER ENGAGEMENT DURING WELLNESS PROGRAM INTERACTION

• US 20140142397A1
• Filed: 11/07/2013
• Published: 05/22/2014
• Est. Priority Date: 11/16/2012
• Status: Abandoned Application

• Current Assignee: Johnson & Johnson Health & Wellness Solutions, Inc. (Johnson & Johnson)
• Original Assignee: Wellness and Prevention Inc (Johnson & Johnson)
• Inventors: Collins, Maurice, Matthes, Jeffrey, Sox, Thomas E., Bedrosian, Richard C., Bucher, Amy Michelle, Carlson, Keith, Mason, Shawn Thomas, Nikilovski, Janeta, Finkenauer O'Day, Raphaela, Phipps, Caren, Walsh, Thomas Matthew
• Application Number:
  US14/074,129
• Publication Number:
  US 20140142397A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/441 Skin evaluation, e.g. for skin disorder diagnosis
• CPC Class Codes: G06V 40/166 using acquisition arrangements
• CPC Class Codes: G06V 40/174 Facial expression recognition

Abstract

A method and system for enhancing user engagement during wellness program interaction are disclosed.

Claims

1. A method for enhancing user engagement during wellness program interaction, comprising:

gathering human emotion data and/or physiological data and/or direct inputs and/or indirect inputs from the user;

comparing the gathered data to previously obtained data on human emotion and/or physiology and/or direct inputs and/or indirect inputs to determine user engagement; and

modifying the content of the wellness program interaction in response to the determined user engagement.

15. The method of claim 1, wherein physical parameters of the user are determined during the wellness program interaction.

16. The method of claim 15, wherein the physical parameters are selected from the group consisting of skin biophysical measures, heart rate, blood pressure and temperature.

17. The method of claim 1, wherein the gathering of direct input is capturing an image of the user and analyzing the image to determine a level of engagement of the user.

18. The method of claim 17, wherein the captured image is facial expression, and wherein whether a brow is furrowed is determined to indicate an angry mood, an upset mood, or an intensity of a mood, whether the brow is unfurrowed is determined to indicate a neutral mood, a content mood, or a mood of lesser intensity, and a user'"'"'s mouth features are analyzed to determine if the user is smiling, frowning, angry, experiencing an intense mood, or experiencing a neutral mood.

19. The method of claim 1, wherein the gathered data is physiological data selected from the group consisting of skin biophysical measures, heart rate, blood pressure and temperature.

20. The method of claim 1, wherein the steps of gathering data, comparing the data to determine engagement and modifying the content are performed sequentially.

21. The method of claim 20, wherein the steps of gathering data, comparing the data to determine engagement and modifying the content are repeated at least two times.

22. The method of claim 1, wherein the previously obtained data is obtained from the user or a database of other users.

23. The method of claim 1, wherein the gathered data is an indirect input selected from the group consisting of the user'"'"'s consumer purchasing behavior, changes in the user'"'"'s buying behavior;

m the user'"'"'s digital social network activity, _membership in support groups and membership in and use of community groups and social organizations.

2. A system for enhancing user engagement during wellness program interaction, comprising:

a controller comprising a processor and a storage medium for digital data;

an input device suitable for receiving input from a user;

an output device for displaying content in a human readable medium; and

executable software stored on a storage medium for digital data and executable on demand, the executable software operative with the processor to cause the system to;

present health related content to a user,

collect emotional data;

physiological data;

direct inputs and/or indirect inputs;

execute a first rules engine containing rules, wherein the first rules engine analyzes in real time one or more emotional data;

physiological data;

direct inputs and/or indirect inputs;

whereby the first rules engine selects, based on the one or more emotional data;

physiological data;

direct inputs and/or indirect inputs, modified content; and

wherein modified content is provided to the user via the output device.

3. The system of claim 2, wherein the input device is a camera to capture an image of the user, and wherein the processor analyzes the image to determine a level of engagement of the user.

4. The system of claim 3, wherein one or more psychophysiological responses of the user are analyzed.

5. The system of claim 4, wherein the one or more psychophysiological responses is facial expression, and wherein whether a brow is furrowed is determined to indicate an angry mood, an upset mood, or an intensity of a mood, whether the brow is unfurrowed is determined to indicate a neutral mood, a content mood, or a mood of lesser intensity, and a user'"'"'s mouth features are analyzed to determine if the user is smiling, frowning, angry, experiencing an intense mood, or experiencing a neutral mood.

6. The system of claim 4, wherein the one or more psychophysiological responses is facial expression, and wherein analyzing the facial expression includes identifying a change in a location of a facial feature, and using the change in the location to determine user engagement.

7. The system of claim 6, wherein analyzing the change in the location of the facial feature includes determining that a brow, a wrinkle, a dimple, a hairline, an ear, a nose, a mouth, or a chin is located in a different location.

8. The system of claim 3, wherein analyzing the image to determine user engagement includes:

comparing current information related to a current image with previous information related to a previous image;

identifying a differential describing how the current information differs from the previous information; and

using the differential to determine user engagement.

9. The system of claim 3, wherein analyzing the image to determine user engagement includes:

identifying a level of user movement, and using the user movement to determine user engagement.

10. The system of claim 3, further comprising:

determining that the modified content did not provide the desired engagement, and adjusting the modified content to increase user engagement.

11. The system of claim 2, further comprising:

enrolling the user in a training regimen to determine a user profile for the user; and

using the user profile to determine the actual engagement for the user.

12. The system of claim 11, wherein enrolling the user in the training regimen includes associating one or more facial expressions of the user with one or more levels of engagement.

13. The system of claim 11, wherein enrolling the user in the training regimen includes evaluating user'"'"'s emotional data and/or physiological data and/or direct input and/or indirect input.

14. The system of claim 13, wherein evaluating the user response to the one or more selections of content includes:

generating perceivable output for a first content selection;

presenting an image of the user captured in response to the generation of the perceivable output; and

prompting the user to specify the actual engagement as depicted in the image.