Personalized content delivery using neuro-response priming data

Abstract

A system evaluates source materials such as videos, imagery, web pages, text, etc., in order to determine priming characteristics associated with the source materials. The system also obtains user preferences such as user interests, purchase history, location information, etc. The priming characteristics and user characteristics are blended to obtain blended attributes. The blended attributes are correlated with stimulus material attributes to intelligently and dynamically select stimulus material such as marketing, entertainment, informational materials, etc., for introduction into the source material. The stimulus material may be inserted in real-time or near real-time into the source material for delivery to a user.

1 . A method, comprising:
 obtaining priming characteristics associated with source material;   obtaining preference characteristics associated with a user;   blending priming characteristics associated with source material with preference characteristics associated with a user to obtain blended attributes;   correlating the blended attributes with stimulus material attributes to select stimulus material for introduction into the source material.   
     
     
         2 . The method of  claim 1 , wherein priming characteristics are obtained from a priming repository system. 
     
     
         3 . The method of  claim 1 , wherein priming characteristics correlate priming levels for a plurality of products and services to various positions in the source material. 
     
     
         4 . The method of  claim 3 , wherein the various positions include advertisement breaks. 
     
     
         5 . The method of  claim 1 , wherein priming characteristics are determined by exposing a subject to source material and collecting neuro-response data from the subject. 
     
     
         6 . The method of  claim 5 , wherein priming characteristics are determining by measuring subject resonance to the source material, wherein the subject resonance is used to set priming levels for the plurality of products and services. 
     
     
         7 . The method of  claim 6 , wherein subject resonance is measured by obtaining target and distracter event related potential (ERP) measurements to determine differential measurements of ERP time domain components at multiple regions of the brain (DERP). 
     
     
         8 . The method of  claim 6 , wherein subject resonance is further measured by obtaining event related time-frequency analysis of the differential response to assess the attention, emotion and memory retention (DERPSPs) across multiple frequency bands. 
     
     
         9 . The method of  claim 8 , wherein the multiple frequency bands comprise theta, alpha, beta, gamma and high gamma. 
     
     
         10 . A system, comprising:
 an interface operable to obtain priming characteristics associated with source material and preference characteristics associated with a user;   a processor operable to blend priming characteristics associated with source material with preference characteristics associated with a user to obtain blended attributes, wherein the processor is further operable to correlate the blended attributes with stimulus material attributes to select stimulus material for introduction into the source material.   
     
     
         11 . The system of  claim 10 , wherein priming characteristics are obtained from a priming repository system. 
     
     
         12 . The system of  claim 10 , wherein priming characteristics correlate priming levels for a plurality of products and services to various positions in the source material. 
     
     
         13 . The system of  claim 12 , wherein the various positions include advertisement breaks. 
     
     
         14 . The system of  claim 10 , wherein priming characteristics are determined by exposing a subject to source material and collecting neuro-response data from the subject. 
     
     
         15 . The system of  claim 14 , wherein priming characteristics are determining by measuring subject resonance to the source material, wherein the subject resonance is used to set priming levels for the plurality of products and services. 
     
     
         16 . The system of  claim 15 , wherein subject resonance is measured by obtaining target and distracter event related potential (ERP) measurements to determine differential measurements of ERP time domain components at multiple regions of the brain (DERP). 
     
     
         17 . The system of  claim 15 , wherein subject resonance is further measured by obtaining event related time-frequency analysis of the differential response to assess the attention, emotion and memory retention (DERPSPs) across multiple frequency bands. 
     
     
         18 . The system of  claim 17 , wherein the multiple frequency bands comprise theta, alpha, beta, gamma and high gamma. 
     
     
         19 . An apparatus, comprising:
 means for obtaining priming characteristics associated with source material;   means for obtaining preference characteristics associated with a user;   means for blending priming characteristics associated with source material with preference characteristics associated with a user to obtain blended attributes;   means for correlating the blended attributes with stimulus material attributes to select stimulus material for introduction into the source material.   
     
     
         20 . The apparatus of  claim 19 , wherein priming characteristics are obtained from a priming repository system.