Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for visualizing a performance of a machine-learned model. An interactive graphical user interface includes an item representation display area that displays a plurality of item representations corresponding to a plurality of items processed by the machine-learned model. The plurality of item representations are arranged according to scores assigned to the plurality of items by the machine-learned model. Further, each of the plurality of item representations is visually configured to represent a label assigned to a corresponding item.

Abstract: A sequence of low-level user input events that takes place during a demonstration is converted into a sequence of high-level events which is used to identify portions of a screencast video of the demonstration as event portions. A presenter rehearses, edits, and re-performs the demonstration during a live presentation by playing back an augmented version of the video that is generated on-the-fly and during at least one point in time includes visualizations of the current and next high-level events that are automatically overlaid on top of the video at the screen locations where these events takes place. A graphical user interface that includes a video sector and a timeline sector is displayed to the presenter. The augmented version of the video is played back within the video sector. An event timeline that includes an overall timeline showing each of the portions of the video is displayed within the timeline sector.

Abstract: Described is a visual analytics system for network diagnostics. The visual analytics system obtains network diagnostic-related information from a diagnostic system. The visual analytics system includes an interactive user interface that displays the representations of network components, including network machines and, zero or more links between those components, (e.g., as appropriate based upon selection or dynamic conditions). The user interface includes a main network view that displays representations of network components, a diagnostics view that displays suggested diagnosis results obtained from the diagnostic system, and a performance counter view that displays performance counter data. User interaction with one of the views correspondingly changes the displays in the other views. The system allows effective exploration of multiple levels of detail, e.g.

Abstract: Large graph visualization embodiments are presented which generally render and display the more important elements for a current view. To this end, a measure of importance referred to as a zoom level is assigned to the vertices and rails of a graph. Each rail is a curve segment in the graph that represents an edge or a set of edges passing through it. The rendering and displaying of a graph (or a part thereof) is done quickly, even as a user moves about the graph, and the visualization of the large graph is not so dense and so full of detail that the user becomes disoriented. In general, this is accomplished by specifying a current viewport, or a current zoom level, or both. Furthermore, the visualization is stable in that the layout of vertices and rails will be the same for the same zoom level and viewport.

Abstract: The description relates to a shared digital workspace. One example includes a display device and sensors. The sensors are configured to detect users proximate the display device and to detect that an individual user is performing an individual user command relative to the display device. The system also includes a graphical user interface configured to be presented on the display device that allows multiple detected users to simultaneously interact with the graphical user interface via user commands.

Abstract: The description relates to eye tracking. One example can identify a location that a user is looking. The example can also identify content at the location.

Abstract: The description relates to eye tracking. One example can identify a location that a user is looking. The example can also identify content at the location.

Abstract: The description relates to a shared digital workspace. One example includes a display device and sensors. The sensors are configured to detect users proximate the display device and to detect that an individual user is performing an individual user command relative to the display device. The system also includes a graphical user interface configured to be presented on the display device that allows multiple detected users to simultaneously interact with the graphical user interface via user commands.

Abstract: Architecture that integrates the benefits of natural user interaction such as freeform sketch with computer-aided charting. The architecture integrates natural user interaction utilizing multiple modalities (e.g., sketch, multi-touch, etc.) with computer supported data analysis that allows users to explore data by drawing charts using simple strokes. Natural user interactions can be utilized to change chart types by drawing symbols, transform data by applying functions, filter data by drawing strikethrough on legends, etc. Additionally, the architecture makes an inference of visualizations the user intended from user-drawn strokes, such as the axes of a graph, the words of a label, etc. When appropriate, the architecture automatically completes visualizations.

Abstract: Non-linguistic signal information relating to one or more participants to an interaction may be determined using communication data received from the one or more participants. Feedback can be provided based on the determined non-linguistic signals. The participants may be given an opportunity to opt in to having their non-linguistic signal information collected, and may be provided complete control over how their information is shared or used.

Abstract: A “Memory Allocation Visualizer” provides a dynamic visualization that animates memory allocation event trace information over a time period of execution of a program. Consequently, the Memory Allocation Visualizer provides a visualization and understanding of a program's memory system behavior. Various modes of display with custom color mappings and zooming allow the user to see how heaps are used over time (e.g., by allocation type, age, size, thread id, etc.). Custom displays also allow the user to detect potential memory leaks and fragmentation problems. Composable filters enable the user to focus on specific issues. Various techniques are used to enable processing of a very large numbers of trace events while enabling rapid response to visualization view changes.

Abstract: The description relates to an interactive digital display. One example includes a display device configured to receive user input and recognize commands relative to data visualizations. The system also includes a graphical user interface configured to be presented on the display device that allows users to interact with the data visualizations via the user commands.

Abstract: An interactive tool is described for modifying the behavior of a system, such as, but not limited to, the behavior of a classification system. The tool uses an interface mechanism to present a current global state of the system. The tool accepts one or more refinements to this global state, e.g., by accepting individual changes to parameter settings that are presented by the interface mechanism. Based on this input, the tool computes and displays the global implications of the updated parameter settings. The process of iterating over one or more cycles of user updates, followed by computation and display of the implications of the attempted refinements, has the effect of advancing the system towards a global state that exhibits desirable behavior.

Abstract: A link curvature processing module enables a user with the ability to control the curvature of links in a node-link diagram. As a node-link diagram is displayed to a user, the user may interact with the diagram and adjust the curvature of one or more links in the diagram to improve the readability of the diagram. The user's modification to the curvature of a link alters the shape of the link so that the position of the nodes connected to the link does not change. By providing the user with such control, the user is able to tailor the visual display of the links to the user's preference.

Abstract: A method, system, and one or more computer-readable storage media for a visualizing dynamic, weighted network are provided herein. The method includes generating, via a computing device, a table for visualizing a dynamic, weighted network. Each row of the table represents a link within the dynamic, weighted network. Each column of the table represents a time point, and each cell of the table includes a weight of a corresponding link at a corresponding time point. The method also includes manipulating the table to identify a pattern within the dynamic, weighted network in response to input by a user of the computing device.

Abstract: A link curvature processing module enables a user with the ability to control the curvature of links in a node-link diagram. As a node-link diagram is displayed to a user, the user may interact with the diagram and adjust the curvature of one or more links in the diagram to improve the readability of the diagram. The user's modification to the curvature of a link alters the shape of the link so that the position of the nodes connected to the link does not change. By providing the user with such control, the user is able to tailor the visual display of the links to the user's preference.

Abstract: The claimed subject matter relates to an architecture that can support a declarative model-based approach to designing, constructing, and rendering visualizations. By complying with a declarative descriptor, components can be readily customized by way of modifications to the model—declaratively specifying suitable features, behaviors, appearances and so forth. The descriptors that conform to the model can also facilitate connecting to various data sources and performing data transformation operations. Moreover, the descriptors that conform to the model can declaratively specify relationships based upon a scene layout. Accordingly, the architecture can further describe the scene layout and provide features based upon the layout.

Abstract: Various technologies described herein pertain to presenting a graphical object on a display screen. An indication that specifies a selected value attribute from a dataset for the graphical object and an example icon for the graphical object can be received. The example icon is a cluster of strokes, where a stroke is a mark that is displayable on the display screen. The graphical object is generated based upon the example icon and data for the selected value attribute from the dataset. The graphical object includes instances of the example icon respectively modified based upon the data for the selected value attribute from the dataset. The graphical object can be caused to be displayed on the display screen. Creation of strokes of the instances of the example icon included in the graphical object can be recorded for subsequent replay. The graphical object can be annotated and/or modified by filtering the data.

Abstract: A graph exploration module is described which displays graph data (or any data set) using any one of an extensible collection of chart types. Some of the chart types may present aggregated results associated with the graph data. One chart type provides bars which represent aggregations of nodes in the graph data and a collection of links which represent relationships among the bars. The graph exploration module may present the chart in the context of an interactive exploration panel within an exploration canvas. A user can make various selections which prompt the graph exploration module to generate a new exploration panel, together with a link which connects to the new panel to the previous panel. This process can be repeated any number of times to produce one or more exploration paths which reveal a history of exploration actions made by the user(s). That history can be saved and later retrieved.

Abstract: A home device management technique is described that allows a user to manage a network of distributed home devices. Special application modules, driver modules, and service exchange ports are employed. Each application modules implements some functionality in the home, preferably using one or more devices in the home distributed system. Each driver module provides the logic for operating one or multiple distributed home devices and is capable of receiving commands from application modules and sending them to devices, detecting events for an associated type of home device, translating the detected event into a format usable by the application modules and notifying the application modules of the events. Events are communicated between the application modules and the driver modules by using one or more service exchange ports. Access control policies are employed to control access to the home devices.