Intracluster content management using neuro-response priming data
First Claim
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1. A method, comprising:
- using a processor to determine priming characteristics associated with a plurality of intracluster advertisements, wherein the priming characteristics are determined by;
analyzing neuro-response data collected from a subject exposed to the plurality of intracluster advertisements;
measuring a subject resonance to the plurality of intracluster advertisements by obtaining target and distracter event related potential (ERP) measurements from the neuro-response data to determine differential measurements of ERP (DERP) time domain components at multiple regions of the brain;
basing the priming characteristics on the subject resonance;
selecting from the plurality of intracluster advertisements a first advertisement for placement in a first intracluster slot by using the priming characteristics; and
selecting from the plurality of intracluster advertisements a second advertisement for placement in a second intracluster slot by using the priming characteristics.
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Abstract
A system uses neuro-response information to evaluate content within a cluster, such as commercials in a pod, advertisements in a frame, or products on a shelf, to determine priming characteristics associated with each pieces of content within the cluster. The priming characteristics and other data are combined to obtain blended attributes. The blended attributes are correlated with each piece of intracluster content to allow intelligent management including selection, arrangement, ordering, presentation, and/or scheduling of intracluster content. Intracluster content may also use priming characteristics associated with extracluster content to further improve management.
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Citations
20 Claims
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1. A method, comprising:
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using a processor to determine priming characteristics associated with a plurality of intracluster advertisements, wherein the priming characteristics are determined by; analyzing neuro-response data collected from a subject exposed to the plurality of intracluster advertisements; measuring a subject resonance to the plurality of intracluster advertisements by obtaining target and distracter event related potential (ERP) measurements from the neuro-response data to determine differential measurements of ERP (DERP) time domain components at multiple regions of the brain; basing the priming characteristics on the subject resonance; selecting from the plurality of intracluster advertisements a first advertisement for placement in a first intracluster slot by using the priming characteristics; and selecting from the plurality of intracluster advertisements a second advertisement for placement in a second intracluster slot by using the priming characteristics. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system, comprising:
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a processor to determine a plurality of priming characteristics associated with a plurality of intracluster advertisements by analyzing neuro-response data collected from a subject exposed to the plurality of intracluster advertisements, and measuring a subject resonance to the plurality of intracluster advertisements by obtaining target and distracter event related potential (ERP) measurements from the neuro-response data to determine differential measurements of ERP (DERP) time domain components at multiple regions of the brain and by basing the priming characteristics on the subject resonance; a priming repository to store the plurality of priming characteristics; and an intracluster content manager to select from the plurality of intracluster advertisements a first advertisement for placement in a first intracluster slot by using the priming characteristics and select from the plurality of intracluster advertisements a second advertisement for placement in a second intracluster slot by using the priming characteristics. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A tangible computer readable medium, excluding propagating signals, the medium having instructions, which when executed cause a machine to at least:
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determine priming characteristics associated with a plurality of intracluster advertisements by; analyzing neuro-response data collected from a subject exposed to the plurality of intracluster advertisements; measuring a subject resonance to the plurality of intracluster advertisements by obtaining target and distracter event related potential (ERP) measurements from the neuro-response data to determine differential measurements of ERP (DERP) time domain components at multiple regions of the brain; and basing the priming characteristics on the subject resonance; select from the plurality of intracluster advertisements a first advertisement for placement in a first intracluster slot by using the priming characteristics; and select from the plurality of intracluster advertisements a second advertisement for placement in a second intracluster slot by using the priming characteristics. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification