Method and system for using coherence of biological responses as a measure of performance of a media
View Patent ↗Various embodiments of the present disclosure create a novel system for rating an event in a media based on the strength of the emotions viewers feel towards the event. The viewer's responses to the media can be measured and calculated via physiological sensors. The metric for rating the strength of the media is created based on the mathematical coherence of change (up or down) of all pertinent physiological responses across multiple viewers. Such rating offers an objective ability to compare the strengths of events of the media, as there is a strong correlation between high coherence of physiological responses (all viewers feel the same thing at the same time) and strong ratings of emotionality, engagement, likeability, success in the marketplace/on screen.
1. A system comprising:
a data analyzer to determine a first plurality of responses a first viewer has to a first event and a second event of media based on first physiological response data obtained from the first viewer while exposed to the first and second events, the data analyzer to determine a second plurality of responses a second viewer has to the first event and the second event of the media based on second physiological response data obtained from the second viewer while exposed to the first and second events;
a coherence module to:
calculate a first coherence value for the first event based on a first degree of similarity between (1) the responses of the first viewer and (2) the responses of the second viewer occurring during the first event, the first coherence value having a first value when the first and second plurality of responses occurring during the first event are similar and the first coherence value having a second value lower than the first value when the first and second plurality of responses occurring during the first event are not similar; and
calculate a second coherence value for the second event based on a second degree of similarity between (1) the responses of the first viewer and (2) the responses of the second viewer occurring during the second event; and
a rating module to at least one of rate the first event based on the first coherence value, rate the second event based on the second coherence value or rate the media based on the first coherence value and the second coherence value.
2. The system of claim 1 , wherein the duration of at least one of the first event or the second event is non-linear or semi-linear.
3. The system of claim 1 , wherein the coherence module is to calculate the first coherence value and the second coherence value by determining (1) a standard deviation of the first responses and the second responses occurring during the respective first and second events or (2) a derivative of the first responses and the second responses occurring during the respective first and second events against an average of the responses.
4. The system of claim 1 , wherein the coherence module is to calculate the first coherence value and the second coherence value by categorizing the first responses and the second responses occurring during the respective first and second events into a plurality of categories and determining a distribution of responses in each category.
5. The system of claim 1 , wherein the first physiological response data and the second physiological response data include electroencephalographic data and the data analyzer is to remove a frequency of the electroencephalographic data based on a duration of the media.
6. The system of claim 1 , wherein the coherence module is to calculate an overall coherence value of the media based on an average of the first coherence value and the second coherence value using non-linear weights.
7. The system of claim 1 , wherein the coherence module is to calculate a coherence value for a plurality of vectors of the first responses and the second responses, wherein each vector of the plurality of vectors represents a state of mind of the first viewer and second viewer.
8. The system of claim 1 , wherein the first event is rated as successful when the first coherence value is greater than a threshold.
9. A system comprising:
a data analyzer to:
determine a first response a first viewer has to a first plurality of events of media based on first physiological data obtained from the first viewer while exposed to the first plurality of events;
determine a second response a second viewer has to a second plurality of events of the media based on second physiological data obtained from the second viewer while exposed to the second plurality of events, the first and second physiological data including electroencephalographic data; and
remove a frequency of the electroencephalographic data based on a duration of the media, the data analyzer to remove high frequency data for long media and low frequency data for short media;
a coherence module to calculate a first coherence of the first response and the second response for a first of the events and to calculate a second coherence of the first response and the second response for a second of the events; and
a rating module to rate at least one of the first event based on the first coherence, the second event based on the second coherence or the media based on the first coherence and the second coherence.
10. The system of claim 9 , wherein the first plurality of events and the second plurality of events partially overlap.
11. The system of claim 9 , wherein the first plurality of events and the second plurality of events are identical.
12. A method comprising:
determining a first set of responses a first viewer has to a first media event and a second set of responses the first viewer has to a second media event based on first physiological response data obtained from the first viewer while exposed to the first and second events;
determining a third set of responses a second viewer has to the first media event and a fourth set of responses the second viewer has to the second media event based on second physiological response data obtained from the second viewer while exposed to the first and second events;
calculating, using a processor, a first coherence value for the first event based on a first degree of similarity between the first set of responses of the first viewer and the third set of responses of the second viewer occurring during the first event, the first coherence value having a first value when the first set of responses and the third set of responses are similar and the first coherence value having a second value lower than the first value when the first set of responses and the third set of responses are not similar;
calculating, using the processor, a second coherence value for the second event based on a second degree of similarity between the second set of responses of the first viewer and the fourth set of responses of the second viewer occurring during the second event; and
at least one of (a) rating the first event based on the first coherence value, (b) rating the second event based on the second coherence value or (c) rating the first and second events based on the first coherence value and the second coherence value.
13. The method of claim 12 , wherein at least one of the first event or the second is non-linear or semi-linear.
14. The method of claim 12 further comprising determining a standard of deviation of the first set of responses and the third set of responses occurring during the first event and the second set of responses and the fourth set of responses occurring during the second event against an average of the responses to calculate the respective first coherence value and the second coherence value.
15. The method of claim 12 further comprising categorizing the first set of responses and the third set of responses occurring during the first event and the second set of responses and the fourth set of responses occurring during the second event into a plurality of categories and determining a distribution of responses in each category to calculate the respective first coherence value and the second coherence value.
16. The method of claim 12 further comprising removing, based on a duration of the media, a frequency of electroencephalographic data of the first physiological response data and the second physiological response data.
17. The method of claim 12 further comprising calculating an overall coherence value based on an average of the first coherence value and the second coherence value using non-linear weights.
18. The method of claim 12 further comprising calculating a coherence value for a plurality of vectors of the first set of responses and the third set of responses occurring during the first event, wherein each vector of the plurality of vectors represents a state of mind of the first viewer and second viewer.
19. A method comprising:
determining a first response a first viewer has to a first plurality of events of media based on first physiological data obtained from the first viewer exposed to the first plurality of events;
determining a second response a second viewer has to a second plurality of events of the media based on second physiological data obtained from the second viewer exposed to the second plurality of events;
removing, based on a duration of the media, high frequency data of electroencephalographic data of the physiological data for long media and low frequency data of the electroencephalographic data of the physiological data for short media;
calculating, using a processor, a first coherence of the first response and the second response for a first of the events;
calculating, using the processor, a second coherence of the first response and the second response for a second of the events; and
rating at least one of the first event based on the first coherence, the second event based on the second coherence or the media based on the first coherence and the second coherence.
20. The method of claim 19 , wherein the first plurality of events and the second plurality of events partially overlap.
21. The method of claim 19 , wherein the first plurality of events and the second plurality of events are identical.
22. A tangible machine readable storage device or storage disc comprising instructions which, when executed, cause a machine to at least:
determine a first set of responses a first viewer has to a first media event and a second set of responses the first viewer has to a second media event based on first physiological response data obtained from the first viewer while exposed to the first and second events;
determine a third set of responses a second viewer has to the first media event and a fourth set of responses the second viewer has to the second media event based on second physiological response data obtained from the second viewer while exposed to the first and second events;
calculate a first coherence value for the first event based on a first degree of similarity between the first set of responses of the first viewer and the third set of responses of the second viewer occurring during the first event, the first coherence value having a first value when the first set of responses and the third set of responses are similar and the first coherence value having a second value lower than the first value when the first set of responses and the third set of responses are not similar;
calculate a second coherence value for the second event based on a second degree of similarity between the second set of responses of the first viewer and the fourth set of responses of the second viewer occurring during the second event; and
at least one of (a) rate the first event based on the first coherence value, (b) rate the second event based on the second coherence value or (c) rate the first and second events based on the first coherence value and the second coherence value.
23. The storage device or storage disc of claim 22 , wherein the instructions cause the machine to determine a standard deviation of the first set of responses and the third set of responses occurring during the first event and the second set of responses and the fourth set of responses occurring during the second event against an average of the responses to calculate the respective first coherence value and the second coherence value.
24. The storage device or storage disc of claim 22 , wherein the instructions cause the machine to categorize the first set of responses and the third set of responses occurring during the first event and the second set of responses and the fourth set of responses occurring during the second event into a plurality of categories and determine a distribution of responses in each category to calculate the respective first coherence value and the second coherence value.
25. The storage device or storage disc of claim 22 , wherein the instructions cause the machine to calculate an overall coherence value based on an average of the first coherence value and the second coherence value using non-linear weights.
26. The storage device or storage disc of claim 22 , wherein the instructions cause the machine to calculate a coherence value for a plurality of vectors of the first set of responses and the third set of responses occurring during the first event, wherein each vector of the plurality of vectors represents a state of mind of the first viewer and second viewer.