Abstract:
Mechanisms are provided for efficiently and effectively connecting users such as customers, consumers, and clients with remote agents such as salespeople, assistants, personal shoppers, etc., by using a merchandising interface in store, shop, and showroom environments. A merchandising connection system identifies and analyzes characteristics of users, target products, and remote agents, and matches users and remote agents using data such as demographic information, common interests, compatible personality types, areas of expertise, attractiveness levels, etc. Various sensors, detectors, actuators, scent emitters, etc., at the merchandising interface work to enhance the user and remote agent connection.
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:
Attributes associated with an entity such as a brand, product, or service are identified from analysis of the entity itself as well as from information from an entity owner such as a company or firm. Attributes and news articles are transmitted over a network. News articles exhibiting characteristics promoting identified attributes are selected and conveyed back over the network. The news articles are then posted on social network walls and profiles of pages of interested individuals. Entities may identify interested individuals as those who have joined, followed, liked, or subscribed to a particular entity page. Interested individuals may also be identified through their profile characteristic information.
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:
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:
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:
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:
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.