Abstract: Distributed mechanisms are provided for identifying stimulus material and collecting neuro-response data from subjects exposed to the stimulus material in a variety of environments. Neuro-response data collection mechanisms such as Electroencephalography (EEG), Electrooculography (EOG), eye tracking, and/or facial emotion encoding are used to collect data from subjects in environments such as home, work, and recreational settings. Cameras, audio recorders, video recorders, processors, etc., identify stimulus material the subject is exposed to. The data collected may be minimally or extensively processed prior to transmission to a neuro-response data analyzer.

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: The human mirror neuron system includes neurons that fire both when an individual performs an action and when the individual observes the action being performed by another. Neuro-response data involving the mirror neuron system is collected as a subject is exposed to stimulus material. The stimulus material may include individuals performing actions such as making a purchase, accepting an offer, participating in an activity, etc. Neuro-response data involving the mirror neuron system of the subject is analyzed to determine the propensity of the subject to act.

Abstract: Presentation of materials such as advertising and marketing materials is evaluated and/or dynamically modified using neurographical data. User images, video, and audio, etc. are analyzed when a user is presented with stimulus materials. User data such as a user image is matched with a neurographical aggregate to identify user information and emotional state. The neurographical aggregate identifies actions and/or additional stimulus material for presentation to the user. User information and emotional state also allow evaluation of the presented materials.

Abstract: A neurological profile associated with introversion/extroversion levels, simultaneous visual element processing capability, and/or dynamism processing capability, etc., is determined to select market categories and stimulus material targeted to the particular neurological profile. The neurological profile is determined using information such as user input, user activity, social and environmental factors, genetic and developmental factors, and/or neuro-response data. The neurological profile can be matched with corresponding neurological profile templates to select market categories and stimulus material.

Abstract: A system analyzes neuro-response measurements from subjects exposed to video games to identify neurologically salient locations for inclusion of stimulus material and personalized stimulus material such as video streams, advertisements, messages, product offers, purchase offers, etc. Examples of neuro-response measurements include Electroencephalography (EEG), optical imaging, and functional Magnetic Resonance Imaging (fMRI), eye tracking, and facial emotion encoding measurements.

Abstract: User preference information is obtained from a user in order to personalize morphing of media for presentation to the user. User preference information may be provided by a user, generated based on user activity, or determined based on user group associations. Target media is analyzed and selected using user preference information. Contribution levels of source and target media are determined to morph target media into source media. Neurologically salient attributes of media are determined and morphed more significantly than less neurologically salient attributes. Morphed media is presented to the user to influence bias, persuasion, etc.

Abstract: Morphing of source and target media including images, video, and audio is performed in a neurologically informed manner. Neurological data is used to determine optimal or near optimal source media and target media contribution levels for morphs that can be used to influence bias, persuasion, etc. Categorical perception shift boundaries and other regions are analyzed in evaluating contribution levels. Neurologically salient attributes of media are determined and morphed more significantly than less neurologically salient attributes.

Abstract: A system provides programming and advertising to a video decoder such as a digital video recorder, computer system, software or hardware player, etc. When a user makes a request to skip a commercial by issuing a command such as 30 second skip forward, alternate media is provided. In some examples, an image advertisement is provided for a predetermined period of time either during the commercial break or when regular programming resumes. In other examples, a substitute commercial is shown. The substitute commercial may be shortened or compressed. The alternate media may be perceptually encoded in a video stream, hidden in a video stream, or provided in a separate stream. In some examples, survey based and neuro-response based data is used to evaluate and select alternate media for particular programming.

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 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 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.

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 performs audience response measurement and tracking using neuro-response data such as central nervous system, autonomic nervous system, and effector 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. Data collected is analyzed to measure and track audience response to the stimulus materials.

Abstract: 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.

Abstract: A system evaluates source materials such as videos, imagery, web pages, text, etc., in order to determine priming characteristics associated with the source materials. The system also obtains user preferences such as user interests, purchase history, location information, etc. The priming characteristics and user characteristics are blended to obtain blended attributes. The blended attributes are correlated with stimulus material attributes to intelligently and dynamically select stimulus material such as marketing, entertainment, informational materials, etc., for introduction into the source material. The stimulus material may be inserted in real-time or near real-time into the source material for delivery to a user.

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 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 assesses consumer experience portrayal effectiveness by evaluating neuro-response measurements for a consumer directly experiencing stimulus and/or indirectly experiencing stimulus through observation of another. Neuro-response measurements are collected using multiple modalities to evaluate personal and observed experiences of 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. In many instances, neuro-response data is combined with other data and analyzed to assess total consumer experience portrayal effectiveness.

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.