System and method for instructing a behavior change in a user

Abstract

A method and system for instructing a user behavior change comprising: collecting a first and a second bioelectrical signal dataset; generating an analysis based upon the first and the second bioelectrical signal datasets; and providing a behavior change suggestion to the user based upon the analysis. The method can further comprise collecting a third bioelectrical signal dataset associated with a performance of an action by the user in response to the behavior change suggestion; generating an adherence metric based upon the third bioelectrical signal dataset and at least one of the first and the second bioelectrical signal datasets; providing a stimulus configured to prompt an action by the user; and providing at least one of the analysis and an analysis based upon the adherence metric to the user. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

We claim: 
     
         1 . A method for facilitating behavior change for a user with a biosignal neuroheadset, the method comprising:
 with the biosignal neuroheadset, collecting a first bioelectrical signal dataset;   with a processor at a remote server:
 generating an analysis of the first bioelectrical signal dataset; 
 determining a behavior change suggestion based on the analysis, wherein the behavior change suggestion facilitates adjustment of an aspect of the user's environment, wherein the aspect comprises at least one of audio-visual content, digital pictures and art, music, lighting, temperature, sound and appliances; 
   transmitting the behavior change suggestion to a computing device;   with the biosignal neuroheadset, collecting a second bioelectrical signal dataset.   
     
     
         2 . The method of  claim 1 , wherein transmitting the behavior change suggestion to the computing device comprises transmitting, with the remote server, the behavior change suggestion to the computing device to control the computing device to adjust the aspect of the user's environment. 
     
     
         3 . The method of  claim 1 , wherein generating the analysis comprises determining a mental state of the user based on the first bioelectrical signal dataset; wherein determining the behavior change suggestion comprises generating a mental state recipe based on the mental state, wherein the mental state recipe is configured to bring the user to a specific mental state. 
     
     
         4 . The method of  claim 1 , further comprising:
 providing a first stimulus to the user for prompting a first action associated with the first bioelectrical signal dataset,   wherein the behavior change suggestion facilitates adjustment of at least one of timing, frequency, and duration of a second stimulus; and   providing the second stimulus to the user for prompting a second action associated with the second bioelectrical signal dataset.   
     
     
         5 . The method of  claim 4 , further comprising:
 determining a similarity between the user and a group of users; and   providing the second stimulus to the group of users based on the similarity, wherein the second stimulus is operable to elicit similar brain activity between the user and the group of users.   
     
     
         6 . The method of  claim 1 , wherein collecting the first bioelectrical signal dataset comprises collecting the first bioelectrical signal dataset associated with the user receiving first content, wherein collecting the second bioelectrical signal dataset comprises collecting the second bioelectrical signal dataset associated with the user receiving second content, and wherein the behavior change suggestion is associated with the second content. 
     
     
         7 . The method of  claim 6 , wherein the second content comprises at least one of an advertisement and interactive content, wherein the behavior change suggestion facilitates adjustment of at least one of lighting, temperature, and sound associated with the at least one of the advertisement and the interactive content to facilitate the adjustment of the aspect of the user's environment. 
     
     
         8 . The method of  claim 7 , wherein determining the behavior change suggestion comprises determining a positive reinforcement mechanism analysis for the user based on the analysis of the first bioelectrical signal dataset, wherein transmitting the behavior change suggestion to the computing device comprises transmitting the positive reinforcement mechanism to the computing device associated with the at least one of the advertisement and the interactive content to facilitate the adjustment of the at least one of the lighting, the temperature, and the sound associated with the at least one of the advertisement and the interactive content. 
     
     
         9 . The method of  claim 1 , wherein the adjustment of the aspect of the user's environment comprises modification of a software parameter of the computing device to adjust the aspect of the user's environment. 
     
     
         10 . The method of  claim 1 , further comprising: with a data storage module of the remote server, storing anonymized bioelectrical signal data associated with a set of supplemental users and the first action, wherein generating the analysis with the processor of the remote server comprises generating the analysis of the first bioelectrical signal dataset based on the anonymized bioelectrical signal data. 
     
     
         11 . The method of  claim 1 , further comprising, with the processor of the remote server, determining an assessment of the effectiveness of the behavior change suggestion based on the second bioelectrical signal dataset; and transmitting the assessment to the computing device. 
     
     
         12 . The method of  claim 1 , wherein the behavior change suggestion comprises instructions for the user to control the computing device to modify the aspect of the user's environment.