Analysis of marketing and entertainment effectiveness using magnetoencephalography
View Patent ↗Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Magnetoencephalography (MEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and/or a cross-modality response synthesis.
1. A system, comprising:
a data collector sensor to obtain magnetoencephalography data and non-magnetoencephalography response data from a subject exposed to an advertisement or entertainment;
a processor programmed to implement:
an intra-modality response synthesizer to generate a coupling index based on first data from a first frequency band of the magnetoencephalography data and second data from a second frequency band of the magnetoencephalography data, the first frequency band and the second frequency band being different;
a cross-modality response synthesizer to generate validation data based on the non-magnetoencephalography response data and one or more of the magnetoencephalography data or the coupling index; and
an effectiveness estimator to determine an effectiveness of the advertisement or entertainment based on one or more of the coupling index or the validation data.
2. The system of claim 1 , wherein the intra-modality response synthesizer is to determine dipole localization measurements based on the magnetoencephalography data.
3. The system of claim 1 , wherein the non-magnetoencephalography response data includes at least one of galvanic skin response data, electrocardiography data, pupillary dilation data, eye tracking data or facial emotion encoding data.
4. The system of claim 1 , wherein at least one of the first frequency band or the second frequency band comprises a delta band, a theta band, an alpha band, a beta band, a low gamma band, a high gamma band or a kappa band.
5. The system of claim 1 , wherein the cross-modality response synthesizer is to combine the non-magnetoencephalography response data with the magnetoencephalography data.
6. The system of claim 1 , wherein the cross-modality response synthesizer is to time shift one or more of the magnetoencephalography data or the non-magnetoencephalography response data.
7. The system of claim 1 , wherein the cross-modality response synthesizer is to phase shift one or more of the magnetoencephalography data or the non-magnetoencephalography response data.
8. The system of claim 1 , wherein the magnetoencephalography data represents activity from different regions of a brain of the subject.
9. The system of claim 8 , wherein the activity is an interaction between the different regions of the brain.
10. The system of claim 1 , wherein the data collector sensor is to measure the first frequency band in a first region of a brain of the subject and the second frequency band in a second region of the brain.
11. The system of claim 1 , wherein the magnetoencephalography data represents inter-hemispheric activity of a brain of the subject.
12. The system of claim 1 , wherein the magnetoencephalography data represents asymmetries in inter-regional intra-hemispheric activity of a brain of the subject.
13. The system of claim 1 , wherein the intra-modality response synthesizer is to determine temporal and spatial locations of brain activity based on the magnetoencephalography data.
14. The system of claim 1 , wherein the magnetoencephalography data represents an interaction between the first frequency band and the second frequency band.
15. A method, comprising:
generating, using a processor, a coupling index based on first data from a first frequency band of magnetoencephalography data obtained from a subject exposed to an advertisement or entertainment and second data from a second frequency band of the magnetoencephalography data, the first frequency band and the second frequency band being different;
generating, with the processor, validation data based on non-magnetoencephalography response data obtained from the subject exposed to the advertisement or entertainment and one or more of the magnetoencephalography data or the coupling index; and
determining, with the processor, an effectiveness of the advertisement or entertainment based on one or more of the coupling index or the validation data.
16. The method of claim 15 further comprising determining dipole localization measurements based on the magnetoencephalography data.
17. The method of claim 15 , wherein the non-magnetoencephalography data includes at least one of galvanic skin response data, electrocardiography data, pupillary dilation data, eye tracking data or facial emotion encoding data.
18. The method of claim 15 , wherein at least one of the first frequency band or the second frequency band comprises a delta band, a theta band, an alpha band, a beta band, a low gamma band, a high gamma band or a kappa band.
19. The method of claim 15 , wherein the magnetoencephalography data represents an interaction between different regions of a brain of the subject.
20. The method of claim 15 , wherein the magnetoencephalography data represents asymmetries in inter-regional intra-hemispheric activity of a brain of the subject.
21. The method of claim 15 , further comprising determining temporal and spatial locations of brain activity based on the magnetoencephalography data.
22. A tangible machine readable storage memory or storage disc comprising machine readable instructions which, when read, cause a machine to at least:
generate a coupling index based on first data from a first frequency band of magnetoencephalography data obtained from a subject exposed to an advertisement or entertainment and second data from a second frequency band of the magnetoencephalography data, the first frequency band and the second frequency band being different;
generate validation data based on non-magnetoencephalography response data obtained from the subject exposed to the advertisement or entertainment and one or more of the magnetoencephalography data or the coupling index; and
determine an effectiveness of the advertisement or entertainment based on one or more of the coupling index or the validation data.