Abstract: A nicotine delivery reduction system includes an electronic cigarette having a breath monitor and a flow controller. The breath monitor detects user breath characteristics such as breath duration, rate, depth, and strength and adjusts the amount of nicotine delivered to the user based on user breath characteristics. In particular examples, if the user is breathing with more urgency, additional nicotine is delivered to the user. The nicotine delivery reduction system also includes an interface to allow implementation of different reduction programs based on personal preferences and characteristics. If the user is breathing normally, the flow controller gradually reduces the level of nicotine delivered to the user. The nicotine delivery reduction system maintains user breath characteristics over time to allow reduction and possible elimination of nicotine dependence.

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: 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: 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 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: Entities seeking to promote goods, services, offers, candidates, etc., may elect to use advocates in a social networking environments instead of advertising. Social networking user profile characteristics are analyzed to identify advocates for subjects of advocacy such as brands, products, services, offers, political candidates, etc. Profile characteristics may include the advocate's own profile information as well as profile information of those in the advocate's social network. An advocate may select a subject of advocacy and generate advocacy materials or customized advocacy materials may be created and/or combined with user materials. The advocacy materials may be analyzed using neuro-response data to generate effective and targeted materials for distribution using social networking channels.

Abstract: Users in a social networking environment are matched with subjects of advocacy, such as products, services, offers, candidates, etc., by evaluating user profile characteristic information. The user may provide advocacy materials and an advocacy system may also generate advocacy materials that may be incorporated with the user's own testimonials. The advocacy materials are distributed using social network channels. A remuneration tracking system monitors distribution of the advocacy materials and analyzes metrics to determine the effectiveness of the distribution. In some examples, the renumeration tracking system monitors redistribution of the advocacy materials, purchase or selection of an offer upon viewing the advocacy materials, and/or commenting or positively valuing the advocacy materials.

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: 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 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 entity and relationship assessment and extraction using neuro-response data such as central nervous system, autonomic nervous system, and effector data. Subjects are exposed to stimulus material and neuro-response 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 provided to assess and extract entity and relationship formation among individuals, groups, or objects in marketing, advertising, entertainment, and other stimuli.

Abstract: A system determines neuro-response stimulus and stimulus attribute resonance. Stimulus material and stimulus material attributes such as communication, concept, experience, message, images, audio, pricing, and packaging are evaluated using neuro-response data collected with mechanisms such as Event Related Potential (ERP), Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Neuro-response data is analyzed to determine stimulus and stimulus attribute resonance.

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: Subjects exposed to stimulus materials such stimulus associated with products and services are provided with incentives to provide response assessments at a point of transaction. The point of transaction has a time and/or location near the point of exposure to the stimulus materials and response collection. In some examples, the point of transaction is associated with a product request, information request, service request, product delivery, information download, service fulfillment, etc. Response data is collected at the point of transaction to more accurately assess user responses to stimulus materials.

Abstract: Neuro-response data including Electroencephalography (EEG), Functional Magnetic Resonance Imaging (fMRI) is filtered, analyzed, and combined to evaluate the effectiveness of stimulus materials such as marketing and entertainment materials. A data collection mechanism including multiple modalities such as, Electroencephalography (EEG), Functional Magnetic Resonance Imaging (fMRI), 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 and removes cross-modality interference.

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: A protocol generator and presenter device provides stimuli to a subject to allow analysis of the effectiveness of marketing and entertainment materials. A protocol generator generates presentation parameters such as length of presentation, number of repetitions, number of physiological baselines, etc. The presenter device uses the presentation parameters to elicit responses from a subject that are then measured and analyzed using multiple neurophysiological modalities. Feedback is provided to the protocol generator and presenter device to dynamically update presentation parameters.

Abstract: A system performs habituation analysis using central nervous system, autonomic nervous system, and effector data. Subjects are repeatedly exposed to stimulus material 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 determine habituation and associated wear-out profiles for stimulus material.

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: 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.