An estimation device includes at least one of a facial skin temperature acquisition unit and a facial photographic image acquisition unit, and an evaluation unit. The facial skin temperature acquisition unit acquires, in time-series, facial skin temperature data of a facial surface of a subject to which brain function activation information is provided. The facial photographic image acquisition unit obtains, in time-series, facial photographic image data obtained by imaging the facial surface of the subject to which the brain function activation information is provided. The evaluation unit evaluates a degree of interest of the subject based on at least one of the facial skin temperature data acquired by the facial skin temperature acquisition unit and the facial surface photographic image data acquired by the facial surface photographic image data acquisition unit.

A system and method are provided for implementing a uniquely automated reactive ecosystem to provide users/consumers a secure environment in which to engage streaming content in a reportable manner to an advertising component. Communications are established between a user electronic data exchange device and a centralized server that coordinates exchange of query information with a user regarding content of an associated linear television or live stream event. The disclosed systems and methods uniquely adapt data exchange to score a user's attention to data content, including advertising content, and to provide to the user an incentive scheme for attention to the content of portions of the linear television or live stream event.

A method performed by one or more devices within a subscription television network includes defining a micro-group, where the micro-group includes one or more user accounts associated with the subscription television network. The method further includes obtaining a profile for the micro-group and obtaining advertising corresponding to the profile of the micro-group. The method also includes sending the advertising to a device associated with one of the one or more user accounts.

Systems and methods for dynamically tracking delivery and performance of digital advertising placed on non-personal devices in physical locations and integrating, displaying, and reporting impressions and events in digital advertising systems.

An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.

Systems and methods for entity detection using artificial intelligence, including: a deep learning model service configured to: select and analyze a set of frames from a media item to determine a set of candidate brand-probability pairs; a voting engine configured to: determining that a first brand-probability pair of a set of candidate brand-probability pairs based on at least one obtained hyperparameter value does not meet a threshold for determining whether candidate brand-probability pairs are to be included in a result set; excluding the first brand-probability pair from the result set based on the determination; sorting the result set; and selecting at least one final brand-probability pair from the result set; and an offline transcoding service configured to: store the final brand-probability pair in a repository with a relation to an identifier of the media item.

Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed. An example method includes receiving a first request from a first type of computing device; sending a request for demographic information corresponding to requests received at a first internet domain from the first type of computing device; generating an aggregated audience distribution including a first audience distribution of a first household aggregated with a second audience distribution of a second household; normalizing the aggregated audience distribution to generate a misattribution correction matrix, the misattribution correction matrix including a probability that an impression of the media is attributable to a first demographic group when the database proprietor determines the impression corresponds to a person in a second demographic group; and compensating misattribution error in the impressions by re-assigning the impressions from the second demographic group to the first demographic group using the misattribution correction matrix.

Feedback regarding a presentation may be received from viewers who have viewed the presentation. In some instances, the presentation may be segmented into a plurality of segments and one or more discrete segments included in the plurality may be divided into a plurality of sub-segments. The presentation may be provided to the plurality of viewers and feedback regarding a discrete sub-segment of the plurality of sub-segments may be received from each of the plurality of viewers via the feedback mechanism. A report based on the received feedback information may then be generated.

Some examples of visualizing relationships between survey data can be implemented by displaying a user interface including a survey question region and a percentage region. In response to detecting a selection of a survey data set, multiple question objects are displayed in the survey question region. Each question object represents a survey question and an answer option for the survey question. In response to inputs to interact with the multiple question objects, survey results such as a percentage of selections of a first answer option to a first survey question represented by a first question object can be determined and displayed in the user interface. Also, interrelationships between answers to survey questions can be displayed by positioning question objects at different locations in the user interface. In response to a selection of a question object, other question objects can be presented according to the correlation with the selected question object.

Portable devices include environmental sensors that generate metrics about the environment (e.g., accelerometers detecting impulses and vibration, and GPS receivers detecting position and velocity). Such devices often use environmental metrics to extract user input directed at the device by the user, and status information about the device and the environment. Presented herein are techniques for using environmental metrics to infer physical activities performed by the user while attached to the device. For example, jogging may be inferred from regular, strong impulses and typical jogging speed; walking may be inferred from regular, weak impulses and typical walking speed; and riding in a vehicle may be inferred from low-level vibrations and high speed (optionally identifying the type of vehicle ridden by the user). Based on these inferences, the device may automatically present applications and/or or adjust user interfaces suitable for the user's physical activity, rather than responsive to user input.