Systems and Methods for Assessing the Marketability of a Product

Abstract

Embodiments of the present invention generally relate to systems and methods for psycho-physiological mood mapping. More specifically, the present invention relates to systems and methods for monitoring various parameters such as, but not limited to, facial muscle activity, heart rate changes, skin conductance changes, electrical charges across scalp, eye tracking, and behavior analysis and analyzing the data of such parameters via a 3D mood map. This data analysis may be used for many purposes including, without limitation, assessing the marketability of a product.

1 . A system for assessing the marketability of a product comprising:
 at least one data gathering system for sensing subject product data and subject benchmark data, at least a portion of the at least one data gathering system equipped to a subject;   a computing device having a processing unit for receiving the subject product data and the subject benchmark data from said at least one data gathering system, the processing unit operatively coupled to a non-transitory computer readable medium, comprising instructions stored thereon, which, when executed by the processing unit, perform the steps of:
 presenting at least one benchmark stimulus to
 the at least one subject; 
 
 recording the subject benchmark data; 
 presenting at least one product stimulus to the at least one subject; 
 recording the subject product data; 
 manipulating the subject product data to create a single subject data point representing the location of the subject product data on a 3D mood map; 
 manipulating the subject benchmark data to create at least one single benchmark data point, each of the at least one single benchmark data points associated with one of the at least one benchmark stimuli, the at least one single benchmark data point representing the location of a respective one of the at least one benchmark stimuli on the 3D mood map; and 
 calculating at least one emotional term value based upon said single subject data point and the at least one single benchmark data point, each of the at least one emotional term value associated with one of at least one emotional term. 
   
     
     
         2 . A system according to  claim 1 , wherein the calculating at least one emotional term value includes weighting one or more of the at least one subject benchmark data point. 
     
     
         3 . A system according to  claim 1 , wherein the processing unit further performs the steps of:
 mapping said single subject product data point on the 3D mood map; and   mapping the at least one subject benchmark data point on the 3D mood map.   
     
     
         4 . A system according to  claim 1 , wherein the subject product data and the subject benchmark data include one or more psycho-physiological measures. 
     
     
         5 . A system according to  claim 4 , wherein the psycho-physiological measure is selected from facial electromyography, heart rate variability, galvanic skin response, electroencephalogram, eye tracking, behavioral analysis, and combinations thereof. 
     
     
         6 . A system according to  claim 5 , wherein the facial electromyography measure measures electrical activity from at least one facial muscle group selected from a corrugator supercilia muscle group, a zygomaticus major muscle group, an orbicularis oculi muscle group, and combinations thereof. 
     
     
         7 . A system according to  claim 1 , wherein the data gathering system includes one or more sensors, each of the one or more sensors for measuring a psycho-physiological measure. 
     
     
         8 . A system according to  claim 7 , wherein the psycho-physiological measure is selected from facial electromyography, heart rate variability, galvanic skin response, electroencephalogram, eye tracking, behavioral analysis, and combinations thereof. 
     
     
         9 . A system according to  claim 8 , wherein the facial electromyography measure measures electrical activity from at least one facial muscle group selected from a corrugator supercilia muscle group, a zygomaticus major muscle group, an orbicularis oculi muscle group, and combinations thereof. 
     
     
         10 . A method for assessing the marketability of a product comprising the steps of:
 equipping at least one subject with at least a portion of a data gathering system for gathering subject product data and subject benchmark data;   exposing the at least one subject to at least one benchmark stimulus;   recording the subject benchmark data;   exposing the at least one subject to a product stimulus;   recording the subject product data;   manipulating the subject product data to create a single subject data point representing the location of the subject data on a 3D mood map;   manipulating the subject benchmark data to create at least one single benchmark data point, each of the at least one single benchmark data points associated with one of the at least one benchmark stimuli, the at least one single benchmark data point representing the location of a respective one of the at least one benchmark stimuli on the 3D mood map; and   calculating at least one emotional term value based upon said single subject data point and the at least one single benchmark data point, each of the at least one emotional term value associated with one of the at least one emotional term.   
     
     
         11 . A method according to  claim 10 , wherein the calculating at least one emotional term value includes weighting one or more of the at least one subject benchmark data point. 
     
     
         12 . A method according to  claim 10 , further comprising the step of:
 mapping said single subject product data point on the 3D mood map; mapping the at least one subject benchmark data point on the 3D mood map.   
     
     
         13 . A method according to  claim 10 , wherein the subject product data and the subject benchmark data include one or more psycho-physiological measures. 
     
     
         14 . A method according to  claim 13 , wherein the psycho-physiological measure is selected from the group consisting of facial electromyography, heart rate variability, galvanic skin response, electroencephalogram, eye tracking, behavioral analysis, and combinations thereof. 
     
     
         15 . A method according to  claim 14 , wherein the facial electromyography measure measures electrical activity from at least one facial muscle group selected from a corrugator supercilia muscle group, a zygomaticus major muscle group, an orbicularis oculi muscle group, and combinations thereof. 
     
     
         16 . A method according to  claim 10 , wherein the data gathering system includes one or more sensors, each of the one or more sensors for measuring a psycho-physiological measure. 
     
     
         17 . A method according to  claim 16 , wherein the psycho-physiological measure is selected from facial electromyography, heart rate variability, galvanic skin response, electroencephalogram, eye tracking, behavioral analysis, and combinations thereof. 
     
     
         18 . A method according to  claim 17 , wherein the facial electromyography measure measures electrical activity from at least one facial muscle group selected from a corrugator supercilia muscle group, a zygomaticus major muscle group, an orbicularis oculi muscle group, and combinations thereof. 
     
     
         19 . A non-transitory computer-readable medium for assessing the marketability of a product, comprising instructions stored thereon, that when executed on a processor, perform the steps of:
 presenting at least one benchmark stimulus to the at least one subject;   recording the subject benchmark data;   presenting at least one product stimulus to the at least one subject;   recording the subject product data;   manipulating the subject product data to create a single subject data point representing the location of the subject product data on a 3D mood map;   manipulating the subject benchmark data to create at least one single benchmark data point, each of the at least one single benchmark data points associated with one of the at least one benchmark stimuli, the at least one single benchmark data point representing the location of a respective one of the at least one benchmark stimuli on the 3D mood map; and   calculating at least one emotional term value based upon said single subject data point and the at least one single benchmark data point, each of the at least one emotional term value associated with one of the at least one emotional term.   
     
     
         20 . A method according to  claim 19 , wherein the calculating at least one emotional term value includes weighting one or more of the at least one subject benchmark data point.