System and method to classify and apply behavioral stimuli potentials to data in real time

Abstract

A system and method for digitally classifying and analyzing exposure to behavioral influencers to probabilistically determine behaviors likely to be demonstrated by an individual or cohorts of individuals based on a combination of demographic and psychographic attributes. The system and method transforms raw data into useful data elements having associated exteroceptive values and other metadata that is useful for further evaluation, analysis, integration into a model, or other behavioral data utilization.

What is claimed is: 
     
         1 . A system for predicting human responses to stimuli by dynamically associating digital data with values that approximate exteroceptive stimuli potentials comprising:
 a microprocessor coupled to a memory, said memory storing a program for controlling said microprocessor; and   at least one digital data feed accessible by said microprocessor;   whereby under control of said program said microprocessor dynamically assigns exteroceptive values to selected digital data from which probabilities of human responses based on stimuli potentials necessary for human perception and cognition are extrapolated.   
     
     
         2 . The system of  claim 1  in which said human responses are human emotional states. 
     
     
         3 . The system of  claim 1  in which said human responses are human behavioral outcomes. 
     
     
         4 . A method of dynamically classifying discrete digital data elements using a microprocessor coupled to a memory storing a program for controlling said microprocessor and at least one digital data feed accessible by said microprocessor comprising:
 identifying a digital data element;   tagging said data element with associative metadata according to type;   tagging said tagged data element with associative metadata according to origination;   tagging said tagged data element with associative metadata according to date;   tagging said tagged data element with associative metadata according to time; and   assigning to said tagged data element exteroceptive values   whereby an integrated meta-exteroceptive representation of said data element is classified for determination of the probability of human response based on stimuli potentials necessary for human perception and cognition.   
     
     
         5 . The method of  claim 4  in which said human responses are human emotional states. 
     
     
         6 . The method of  claim 4  in which said human responses are human behavioral outcomes. 
     
     
         7 . A method using a microprocessor coupled to a memory storing a program for controlling said microprocessor and at least one digital data feed accessible by said microprocessor for predicting human responses to stimuli comprising:
 dynamically selecting at least one digital data element; and   dynamically assigning exteroceptive values to said selected digital data element;   whereby probabilities of human responses based on stimuli potentials necessary for human perception and cognition are extrapolated.   
     
     
         8 . The method of  claim 7  in which said human responses are human emotional states. 
     
     
         9 . The method of  claim 7  in which said human responses are human behavioral outcomes.