US2014142397A1PendingUtilityA1

Method and system for enhancing user engagement during wellness program interaction

Assignee: WELLNESS & PREVENTION INCPriority: Nov 16, 2012Filed: Nov 7, 2013Published: May 22, 2014
Est. expiryNov 16, 2032(~6.3 yrs left)· nominal 20-yr term from priority
A61B 5/024A61B 5/01A61B 5/441A61B 5/165A61B 5/021A61B 5/163A61B 5/11G06V 40/174G06V 40/166
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Claims

Abstract

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

Claims

exact text as granted — not AI-modified
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.   
     
     
         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. 
     
     
         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.

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