Abstract:
An advertisement exchange determines characteristics associated with advertisement slots such as slots in a commercial pod, locations on a printed page, banners in a video, billboards, etc. Characteristics may include demographic information, advertisement type, and neuro-response characteristics such as priming, attention, engagement, and retention. Advertisement slots are matched with advertisements and may be selected, purchased, exchanged, and analyzed by advertisers, individuals, corporations, and firms. In some examples, bids and offers are made for advertisement slots based on advertisement slot characteristics. Advertisement slot characteristics may be changed in real-time as placement of advertisements in surrounding slots changes the characteristics of a particular slot.
Abstract:
Methods and apparatus for providing video with embedded media are disclosed. An example method includes dividing an image comprising a number of pixels into a number of portions, each portion including less than all of the pixels of the image, and blending respective ones of the portions with different video frames of a stream of video frames comprising a host presentation, wherein the media reaches a discernibility threshold when the host presentation is played at an accelerated rate.
Abstract:
Efficient and effective mechanisms for collecting neuro-response data are provided to allow assessment of post-purchase products, services, offerings, and experiences. In some examples, a neuro-response data collection mechanism such as a portable electroencephalography (EEG) headset is used to collect neuro-response data from a consumer exposed to a product in a post-purchase state. Post-purchase assessments may be made at particular times after a purchase transaction. A post-purchase assessment may be compared to a pre-purchase assessment. The assessments can be used to enhance product packaging, modify service components, improve sustained experiences, change consumer behavior, etc.
Abstract:
Example methods, systems and tangible machine readable instructions to match a representative with a commercial property are disclosed herein. An example method for matching a representative with a commercial property includes comparing one or more of neurological or physiological response data from a panelist exposed to the property or a facsimile of the property to a plurality of representative attributes to determine a plurality of compatibility scores. Each of the representative attributes corresponds to a respective candidate representative. The example method also includes selecting the candidate representative having a highest one of the compatibility scores to represent the property.
Abstract:
A content generation, presentation, and evaluation system identifies biometric factors to improve the effectiveness of content presented to subjects. Biometric factors include subject visual acuity ranges, color sensitivity spectrums, audio sensitivity spectrums, chemical sensitivity ranges, etc. Content is generated and/or modified to benefit from subject visual acuity ranges, spectral sensitivities, tactile sensitivities, etc. In particular examples, content is tailored and/or modified for particular individuals and groups based on acuity and sensitivity profiles of those individuals or groups. Neuro-response data can be analyzed to determine the effectiveness of biometric aware content and further enhance content generation.
Abstract:
Distributed mechanisms are provided for implementing a neurological sentiment tracking system to collect and analyze consumer and business sentiment. Neuro-response data as well as optional survey and interview data may be collected from subjects about personal finance expectations, anticipated hiring expectations, views on prospects for the economy in the short and long term, purchase expectations, etc. Neuro-response data collection mechanisms such as Electroencephalography (EEG) and/or facial emotion encoding can be used along with surveys and interviews to collect data from subjects in a variety of environments. Collected data may be aggregated to aid in economic forecasting and modeling. Data may be continuously collected to provide high temporal resolution. Analysis may also be performed to determine impacts of particular events on sentiment.
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.
Abstract:
Distributed mechanisms are provided for collecting neuro-response data from subjects exposed to the stimulus material in multiple settings. Stimulus material may include marketing and entertainment materials. Neuro-response data collection mechanisms such as Electroencephalography (EEG) and Electrooculography (EOG) are used to collect data from subjects in laboratory and corporate settings. Neuro-response data is transmitted over a network to a data analyzer. The neuro-response data is processed at the data analyzer and effectiveness data for the stimulus material is received.
Abstract:
A system provides personalized media in video for presentation using a video decoder in a device such as a video recorder, hardware or software player, computer system, or television. The personalized media may be embedded or hidden in a video stream or provided separately. A video decoder determines profile and preference information associated with a viewer, group, or demographic and personalizes commercial content using the profile and preference information. The system includes personalized media by introducing, embedding, overlaying, etc., media on video during commercial breaks. Personalized media may be provided during normal viewing or may be provided when a skip forward or fast forward request is received. The system may also evaluate personalization mechanisms using neuro-response measurements.
Abstract:
A system obtains neuro-response data such as central nervous system, autonomic nervous system, and effector system measurements from subjects exposed to stimulus material. Stimulus material is categorized and/or tagged. Survey based responses and resulting linguistic, perceptual, expressive, and/or motor responses are obtained, integrated with neuro-response data, and stored in a brain pattern analyzer repository. Neurological signatures for concepts such as yes, no, buy, purchase, acquire, like, dislike, correct, incorrect can be determined on a group, subgroup, or individual basis and stored in the brain pattern analyzer repository. The brain pattern analyzer repository may be used to predict behavior based on neurological signatures and/or similarly categorized and tagged stimulus materials that elicit corresponding neuro-response patterns for particular subject groups.