Abstract: Systems and methods for improving visual attention models use effectiveness assessment from an environment as feedback to improve visual attention models. The effectiveness assessment uses data indicative of a particular behavior, which is related to visual attention allocation, received from the environment to assess relative effectiveness of the environment on influencing the particular behavior.

Abstract: Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.

Abstract: At least one aspect of the present disclosure directs to a content generation system including a content generation module and a rule management module. The rule management module is adapted to receive a plurality of rules on content generation. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with the plurality of rules on content generation.

Abstract: Systems and methods for automatically selecting actions to take on a utility grid to simultaneously reduce uncertainty while selecting actions that improve one or more effectiveness metrics. Grid action effects are represented as confidence intervals, the overlap of which is used as a weight when selecting actions within a constrained search space of grid actions. The response of the utility grid to the grid actions may be measured and parsed by the temporal and spatial reach of the grid action, then used to update the confidence intervals for that particular selected grid action.

Abstract: At least one aspect of the present disclosure directs to a content generation system including a content generation module and a rule management module. The rule management module is adapted to receive a plurality of rules on content generation. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with the plurality of rules on content generation.

Abstract: The present invention is directed to systems and methods for establishing and maintaining constraints on automated experimentation systems and the permissible ranges for experimentation. Methods and systems of the invention evaluate the available controls, generate a multi-dimensional space representing the combinations of controls, and analyze operational data to determine which points in the multidimensional space are permissible states for the controlled system. Optionally, some embodiments feature a user interface for manipulating or altering the constraints. The constrained multidimensional space is used in automated experimentation through selection of points in the multidimensional space for use in experimental trails.

Abstract: Methods and systems for implementing experimental trials on utility grids. Variations in grid parameters are selected to introduce into utility grids to improve the value of learning from each experimental trial and promoting improved utility grid performance by computing expected values for both learning and grid performance. Those trials are used to manage the opportunity costs and constraints that affect the introduction of variations into utility grid parameters and the generation of valid data that can be attributed to particular variations in utility grid parameters.

Abstract: The present invention is directed towards methods and systems for characterizing sensors and developing classifiers for sensor responses on a utility grid. Experiments are conducted by selectively varying utility grid parameters and observing the responses of utility grid to the variation. Methods and systems of this invention then associate the particular responses of the utility grid sensors with specific variations in the grid parameters, based on knowledge of the areas of space and periods of time where the variation in grid parameters may affect the sensor response. This associated data is then used to updating a model of grid response.

Abstract: Methods and systems for implementing experimental trials on utility grids. The variation of grid parameters are coordinated to create periods of time and areas of space from within which the variations of grid parameters do not overlap, allowing sensor data within those periods of time and areas of space to be associated with particular variations in grid parameters. This associated data can in turn be used to improve models of sensor response and utility grid behavior.

Abstract: Systems and methods provide for assigning pieces of content to time-slots samples for measuring effects of the assigned content. Systems and methods provide for receiving pair-wise content relatedness data that identifies each piece of content as experimental content or control content relative to other pieces of content, and algorithmically assigning experimental or control content pieces to time-slot samples using the content relatedness data, wherein additional content pieces assigned to a particular time-slot sample exclude non-identical related experimental content pieces defined relative to an experimental content piece previously assigned to the particular time-slot sample.

Abstract: The present invention is directed to systems, articles, and computer-implemented methods for assessing effectiveness of communication content and optimizing content distribution to enhance business objectives. Embodiments of the present invention are directed to computer-implemented methods for a computer-implemented method, comprising conducting an experiment using experimental content to determine effectiveness of communication content and executing, while conducting the experiment, a machine learning routine (MLR) using MLR content to enhance an effectiveness metric.

Abstract: Systems and methods for organizing and controlling the display of content, then measuring the effectiveness of that content in modifying behavior, within a particular temporal and special dimension, so as to minimize or eliminate confounding effects.

Abstract: Systems and methods for organizing and controlling the display of content, then measuring the effectiveness of that content in modifying behavior, within a particular temporal and special dimension, so as to minimize or eliminate confounding effects.

Abstract: At least some aspects of the present disclosure feature systems and methods for delivering content to a mobile device. In one embodiment, the system receives location information of the mobile device and determines a response duration. The system selects a content piece to deliver to the mobile device based on information regarding content comparisons or experimental units.

Abstract: At least one aspect of the present disclosure describes a computer-implemented system for optimization of animated content. The system includes a rule management module, a content generation module, and a content evaluation module. The content generation module is operative to generate an animated content configuration in accordance with a set of rules on content generation. The animated content configuration includes an initial configuration and a transition and is designed with a particular optimization objective. The content evaluation module is operative to evaluate content performance on reaching the particular optimization objective based on data acquired when a piece of animated content assembled from the animated content configuration is displayed. The rule management module is operative to amend the set of rules based on the evaluated content performance.

Abstract: At least one aspect of the present disclosure describes a content optimization system using probability factors including a rule management module, a content generation module, and a content evaluation module. The rule management module maintains a set of rules for content generation, the set of rules comprising a rule on probability factor, the rule on probability factor specifying a statistical probability that a piece of content expresses a particular value of a selected content attribute. The content generation module is operative to generate a plurality of pieces of content based on the set of rules, the plurality of pieces of content designed with a particular optimization objective.

Abstract: At least one aspect of the present disclosure describes a system for facilitating generation of animated content. The system includes a rule management module and a content generation module. The rule management module is configured to receive a plurality of content generation rules. The content generation module is communicatively coupled to the rule management module and configured to generate an animated content configuration in accordance with the plurality of content generation rules. The animated content configuration specifies at least two content elements to be rendered on a display and their relationships to one another, and a transition, which modifies a attribute of a content elements over a period of time.

Abstract: Systems and methods for optimizing properties of objects within a scene or achieve a visual goal.

Abstract: A content optimization system includes a content generation module, a content evaluation module, and a rule management module. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with a set of rules on content generation. The content evaluation module is adapted to evaluate content performance of a piece of content assembled from the content configuration. The rule management module is adapted to amend the set of rules based on the evaluated content performance.

Abstract: At least one aspect of the present disclosure directs to a content generation system including a content generation module and a rule management module. The rule management module is adapted to receive a plurality of rules on content generation. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with the plurality of rules on content generation.