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:
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:
An intra-modality response synthesizer analyzes and enhances central nervous system, autonomic nervous system, and effector data to evaluate subject response to stimuli. A data collection mechanism obtains response data from a subject exposed to stimuli, such as marketing and entertainment stimuli. The intra-modality response synthesizer analyzes and synthesizes a plurality of modality specific response measures from central nervous system, autonomic nervous system, and effector systems. For example, the intra-modality response synthesizer analyzes response data including neurophysiological data to evaluate the effectiveness of stimuli by analyzing interactions between multiple regions of the brain.
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 Electroencephalography (EEG), 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:
An electroencephalography (EEG) system includes a dry electrode design having a jagged, angular, comb, etc. shaped support housing. Each dry electrode housing includes multiple electrodes where each electrode has multiple contacts for scalp placement with minimal interference from hair. Signals from individual contacts may be disregarded and each housing may provide one or more aggregated signals for data analysis. Each electrode may be placed in close proximity with neighboring electrodes as no conductive gel is required and may be attached to the scalp using straps, elastic cap, spring-type materials, tape, etc. The dry electrode design effectively measures bio-signals including neurological activity.
Abstract:
Example methods, apparatus, systems and machine readable media are disclosed herein for analyzing response data from subjects exposed to media. An example method includes collecting electroencephalography data from a brain of a subject exposed to an advertisement. The example method also includes determining neuro-response data from the electroencephalography data, the neuro-response data representative of interaction between a first frequency band and a second frequency band of the electroencephalography data, the second frequency band being different than the first frequency band. In addition, the example method includes determining resonance to the advertisement based on the neuro-response data and identifying one or more priming levels for one or more locations in a source material based on an attribute of the source material. The example method also includes selecting a first one of the one or more locations for inclusion of the advertisement based on the resonance and the priming levels.
Abstract:
A stimulus compression device determines neuro-feedback significance corresponding to stimulus material and modifies the stimulus material using neuro-feedback significance measures. For example, the stimulus compression device determines portions of a media stream corresponding to low neuro-feedback significance and removes them from the media stream. Compression of stimulus material may involve removal, modification, repetition, bit rate adjustment, resolution adjustment, etc. Transitions can be smoothed or lengthened to further improve processed stimulus material.
Abstract:
Mechanisms are provided for intelligently creating store designs in a neurologically informed manner. A store layout can be set based on time of day and biorhythms, with early morning sections, mid-morning sections, etc. Sub-brands may be provided in each section. Point-of-sale material design and interaction is neurologically enhanced. Store promotions are improved using augmented reality. A smart shopping cart or basket is used to automatically scan items, provide promotions, detect items, and suggest other products as a customer moves throughout the store.
Abstract:
Example methods, apparatus, systems and machine readable media are disclosed herein for analyzing response data from subjects exposed to media. An example method includes obtaining first neuro-response data from a first frequency band and second neuro-response data from a second frequency band of brain activity of a subject exposed to one or more of an advertisement or entertainment, the first frequency band and the second frequency band being different. The example method also includes combining the first and second neuro-response data and data representative of a first attribute of the first advertisement or entertainment to generate selection information. In addition, the example method includes selecting a second advertisement or entertainment for presentation to the subject based on the selection information and data representative of a second attribute of the second advertisement or entertainment.
Abstract:
Example methods, apparatus, systems and machine readable media are disclosed herein for analyzing response data from subjects exposed to media. An example method includes collecting electroencephalography data from a brain of a subject exposed to an advertisement. The example method also includes determining neuro-response data from the electroencephalography data, the neuro-response data representative of interaction between a first frequency band and a second frequency band of the electroencephalography data, the second frequency band being different than the first frequency band. In addition, the example method includes determining resonance to the advertisement based on the neuro-response data and identifying one or more priming levels for one or more locations in a source material based on an attribute of the source material. The example method also includes selecting a first one of the one or more locations for inclusion of the advertisement based on the resonance and the priming levels.