Abstract: Effective virtual reality environments including in-store virtual reality environments such as supermarket aisles, store shelves, cooler displays, etc. are generated using frameworks and customer layout information. Marketing materials are integrated with the virtual reality environment while introducing imperfections and/or other cues of realism to create a virtual reality environment representation. Imperfections may include misaligned marketing materials, product label blemishes, packages placed slightly askew, etc. Sensory experiences output to the user via the virtual reality environment representation elicit interactivity with a user and user movements, motions, and responses are used to evaluate the effectiveness of the marketing materials and/or the virtual reality environment representations.

Abstract: A system presents stimulus materials such as products, product packages, displays, services, offerings, etc., in virtual reality environments such as market aisles, store shelves, showroom floors, etc. Sensory experiences output to the user via the virtual reality environment elicit user interactivity. User activity and responses are used to modify marketing materials and/or virtual reality environments. Neuro-response data including electroencephalography (EEG) data is collected from users in order to evaluate the effectiveness of marketing materials in virtual reality environments. In particular examples, neuro-response data is used to modify marketing materials and virtual reality environments presented to the user.

Abstract: A system performs stimulus targeting using neuro-physiological and neuro-behavioral data. Subjects are exposed to stimulus material such as marketing and entertainment materials and data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Neuro-physiological and neuro-behavioral data collected is analyzed to select targeted stimulus materials. The targeted stimulus materials are provided to particular subjects for a variety of purposes.

Abstract: A system identifies the location of a user and presents location aware stimulus material to the user. Discounts, promotions, and advertising can be delivered to the user on a wireless device based on location and path information. Stimulus material on in store monitors, billboards, and displays are modified based on information about individuals near the monitors and displays. In particular embodiments, neuro-response data is collected using a portable electroencephalography (EEG) headset while a user is exposed to stimulus materials to allow the effectiveness of the stimulus material to be determined. Stimulus materials presented can also be evaluated for neuro-response effectiveness prior to presentation to users in a location aware and personalized manner.

Abstract: A system evaluates stimulus materials such as videos, imagery, web pages, text, etc., in order to determine resonance and priming levels for various products and services at different temporal and spatial locations including advertisement breaks in the stimulus materials. The stimulus materials are tagged with resonance and priming level information to allow intelligent selection of suitable advertisement content for insertion at various locations in the stimulus materials. Response data such as survey data and/or neuro-response data including Event Related Potential (ERP), Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding data may be used to determine resonance and priming levels.

Abstract: A system assesses consumer experience by evaluating neuro-response measurements for a consumer exposed to products, services, offerings, and stimulus. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Components of a consumer experience are analyzed to assess neuro-response measurements specific to each component. In many instances, neuro-response data is combined with other data and analyzed to determine total consumer experience.

Abstract: A system evaluates and selects temporal and spatial locations for introduction of stimulus material. Video streams, physical locations, print advertisements, store shelves, images, commercials, etc. are analyzed to identify locations for introducing stimulus material, such as messages, brand images, products, media, marketing and/or other sales materials. The system analyzes neuro-response measurements from subjects exposed to stimulus material in different temporal and spatial locations. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Neuro-response measurements are analyzed to select temporal and spatial locations for introduction of stimulus material.

Abstract: A neuro-informatics repository system is provided to allow efficient generation, management, and access to central nervous system, autonomic nervous system, effector data, and behavioral data obtained from subjects exposed to stimulus material. Data collected using multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), Event Related Potential (ERP), surveys, etc., is stored using a variety of data models to allow efficient querying, report generation, analysis and/or visualization.

Abstract: Effective virtual reality environments including in-store virtual reality environments such as supermarket aisles, store shelves, cooler displays, etc. are generated using frameworks and customer layout information. Marketing materials are integrated with the virtual reality environment while introducing imperfections and/or other cues of realism to create a virtual reality environment representation. Imperfections may include misaligned marketing materials, product label blemishes, packages placed slightly askew, etc. Sensory experiences output to the user via the virtual reality environment representation elicit interactivity with a user and user movements, motions, and responses are used to evaluate the effectiveness of the marketing materials and/or the virtual reality environment representations.

Abstract: An advertisement exchange obtains characteristics associated with multimedia advertisements such as commercial slots in a commercial pod, banners in a video, announcements in an audio program, etc. Characteristics may include demographic information, advertisement type, survey information, etc. Advertisement slots are offered with information on advertisement slot characteristics and may be selected, purchased, exchanged, and analyzed by advertisers, individuals, corporations, and firms. Advertisement slot characteristics may be changed in real-time as placement of advertisements in surrounding slots changes the characteristics of a particular slot. Advertisements may be automatically matched with advertisement slots based on advertisement slot characteristics and advertisement characteristics.

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: A marketing materials presentation system identifies wait states such as loading states and idle states and selects marketing materials for presentation during wait states. Marketing materials may be selected based on materials viewed prior to a wait state and activity requested that triggered the wait state. In some examples, characteristics of a viewer including demographic informational, profile data, past viewing and purchase activity, neuro-response data, etc., is analyzed to select wait state marketing materials. Wait state marketing materials may also be selected using wait state characteirstics and marketing material characteristics.

Abstract: Example methods, systems and tangible machine readable instructions to format a presentation in a social network are disclosed. An example method includes collecting first neuro-response data from the user while the user is engaged with a social network. The example method also includes formatting the presentation based on the first neuro-response data and social network information identifying a characteristic of the social network of the user.

Abstract: Example methods, systems and tangible machine readable instructions for social network and location based advocacy with neurological feedback are disclosed. An example the method includes detecting a location of a consumer and identifying an advocate in a social network of the consumer. The advocate being a person connected with the consumer in the social network. The example method also includes selecting advocacy material based on the location and the advocate. In addition, the example method includes obtaining neuro-response data from the consumer while or after the consumer is exposed to the advocacy material and determining an effectiveness of the advocacy material based on the neuro-response data.

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: Effective virtual reality environments including in-store virtual reality environments such as supermarket aisles, store shelves, cooler displays, etc. are generated using frameworks and customer layout information. Marketing materials are integrated with the virtual reality environment while introducing imperfections and/or other cues of realism to create a virtual reality environment representation. Imperfections may include misaligned marketing materials, product label blemishes, packages placed slightly askew, etc. Sensory experiences output to the user via the virtual reality environment representation elicit interactivity with a user and user movements, motions, and responses are used to evaluate the effectiveness of the marketing materials and/or the virtual reality environment representations.

Abstract: A system modifies video by embedding portions of media, such as subsets of image pixels, in video frames. When the video is played at normal speed, the media is not discernible. However, when the video is played at an accelerated rate in the forward or reverse direction, the portions of images embedded in video frames coalesce into discernible media. The embedded media may be simple text, images, video, audio, or other media. The system may also evaluate base videos as well as insertion media using neuro-response measurements to determine how and what type of media to embed. The media may be embedded in real-time or near real-time into video for delivery to a user for playback on devices such as digital video recorders, computer systems, software and hardware players, cable boxes, etc.

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: Example methods, systems and machine readable instructions are disclosed for assessing advertising effectiveness based on neurological data. An example method includes analyzing neuro-response data from a panelist exposed to media to determine a first score representative of an attention level of the panelist, a second score representative of an emotional engagement of the panelist, and a third score representative of memory activity of the panelist. In addition, the example method includes calculating a persuasion metric, a novelty metric and an awareness metric based on the first, second and third scores.