Abstract: Technologies are disclosed for temporarily hiding user interface (“UI”) elements, such as application windows or tabs. A request can be received to hide a UI element for a specified period of time. When such a request is received, the UI element is hidden and an identifier corresponding to the UI element is moved from a first area of a taskbar to a second area of the taskbar. The application presenting the UI element can be configured for reduced consumption of computing resources while the UI element is hidden. Additionally, notifications associated with the UI element can be disabled while the UI element is hidden. When the specified period of time to hide the UI element has elapsed, the UI element is once again displayed. Additionally, the identifier corresponding to the UI element is moved from the second area of the taskbar back to the first area of the taskbar.

Abstract: Semantic zoom techniques are described. In one or more implementations, techniques are described that may be utilized by a user to navigate to content of interest. These techniques may also include a variety of different features, such as to support semantic swaps and zooming “in” and “out.” These techniques may also include a variety of different input features, such as to support gestures, cursor-control device, and keyboard inputs. A variety of other features are also supported as further described in the detailed description and figures.

Abstract: Semantic zoom techniques are described. In one or more implementations, techniques are described that may be utilized by a user to navigate to content of interest. These techniques may also include a variety of different features, such as to support semantic swaps and zooming “in” and “out.” These techniques may also include a variety of different input features, such as to support gestures, cursor-control device, and keyboard inputs. A variety of other features are also supported as further described in the detailed description and figures.

Abstract: A method for detecting digital ink described herein can include detecting an environmental characteristic of a system. The method can also include modifying a user interface mode based on the environmental characteristic, the user interface mode to modify an input panel of a first display screen of a user interface for detecting the digital ink. Furthermore, the method can also include storing the digital ink provided via the user interface and displaying the stored digital ink in a second display screen of the user interface.

Abstract: A computer-implemented technique is described herein that receives captured stroke information when a user enters a handwritten note using an input capture device. The technique then analyzes the captured stroke information to produce output analysis information. Based on the output analysis information, the technique modifies the captured stroke information into an actionable form that contains one or more actionable content items, while otherwise preserving the original form of the captured stroke information. The technique then presents the modified stroke information on a canvas display device. The user may subsequently activate one or more actionable content items in the modified stroke information to perform various supplemental tasks that pertain to the handwritten note. In one case, for example, the technique can recognize the presence of entity items and/or list items in the note and then reproduce them in an actionable form.

Abstract: Techniques for input adjustment are described. In one or more implementations, a user perspective of a display surface is estimated, and is used to correlate output that is displayed on the display surface. According to one or more implementations, detected motion of a display surface is used to compensate for an effect of the motion on input to the display surface.

Abstract: A digital inking device can automatically adapt its interaction modality to provide contextually relevant status information and contextually relevant user interface control elements based on a user's activity. An interaction model of a digital inking device can automatically adapt the display of particular control user interface control elements and particular status indicators based on one or more factors. For example, a digital inking device can select an interaction model from a number of interaction models based on a way a digital inking device is held by a user, a fingerprint of a user, an angle and/or distance of a digital inking device with respect to a paired computer, a particular grip a user has on a digital inking device, an amount of pressure that is used to hold a digital inking device, a contact pressure between a digital inking device and a paired computer, and/or one more gestures performed by a user.

Abstract: Techniques for input adjustment are described. In one or more implementations, a user perspective of a display surface is estimated, and is used to correlate output that is displayed on the display surface. According to one or more implementations, detected motion of a display surface is used to compensate for an effect of the motion on input to the display surface.

Abstract: A computing device is described herein for capturing handwritten marks. It includes a main computing unit and a detachable writing input device joined by a connecting mechanism. The main computing unit includes a main display device, while the writing input device hosts a keyboard and a writing surface. The writing surface, in turn, includes a digitizer for capturing ink data in response to a user drawing on the writing surface, and writing display device for displaying ink strokes associated with the ink data that has been captured. A transfer control component transfers the ink data captured by the writing input device to the main computing unit upon a triggering event, such as the reconnection of the writing input device to the main computing unit. The computing device also includes a clustering component for classifying note pages received from the writing input device into one or more categories of notes.

Abstract: This document describes techniques for, and systems that enable, a multi-stroke smart ink gesture language. The described techniques enable a digital ink user interface that allows a display, that is capable of receiving a digital ink stroke from a passive stylus or an active pen, to receive the digital ink stroke as either a content input or an action input. The digital ink stroke may be determined to be an action input based on proximity to, intersection with, or chronological immediacy to a prior-received digital ink stroke. When multiple digital ink strokes are determined to represent a multi-stroke gesture associated with an action input, the action input is provided to the application, which can then perform the action associated with the action input. The multi-stroke gesture allows users to input both content and actions using the passive stylus or active pen and natural digital inking strokes.

Abstract: The claimed subject matter is directed to providing feedback in a touch screen device in response to an actuation of a virtual unit in a virtual input device. Specifically, the claimed subject matter provides a method and system for providing visual feedback in response to an actuation of a virtual key in a virtual keyboard. One embodiment of the claimed subject matter is implemented as a method for providing luminescent feedback in response to an actuation of a virtual key in a virtual keyboard. User input in a virtual keyboard corresponding to a virtual key is received. The corresponding virtual key is actuated and registered in response to the user input, and a luminescent feedback is displayed to the user as confirmation of the actuation of the virtual key.

Abstract: This document describes techniques for, and systems that enable, a multi-stroke smart ink gesture language. The described techniques enable a digital ink user interface that allows a display, that is capable of receiving a digital ink stroke from a passive stylus or an active pen, to receive the digital ink stroke as either a content input or an action input. The digital ink stroke may be determined to be an action input based on proximity to, intersection with, or chronological immediacy to a prior-received digital ink stroke. When multiple digital ink strokes are determined to represent a multi-stroke gesture associated with an action input, the action input is provided to the application, which can then perform the action associated with the action input. The multi-stroke gesture allows users to input both content and actions using the passive stylus or active pen and natural digital inking strokes.

Abstract: A computing device is described herein for capturing handwritten marks. It includes a main computing unit and a detachable writing input device joined by a connecting mechanism. The main computing unit includes a main display device, while the writing input device hosts a keyboard and a writing surface. The writing surface, in turn, includes a digitizer for capturing ink data in response to a user drawing on the writing surface, and writing display device for displaying ink strokes associated with the ink data that has been captured. A transfer control component transfers the ink data captured by the writing input device to the main computing unit upon a triggering event, such as the reconnection of the writing input device to the main computing unit. The computing device also includes a clustering component for classifying note pages received from the writing input device into one or more categories of notes.

Abstract: A system for detecting input described herein can include a processor to augment a user interface to display a magnified input panel proximate a keyboard. The processor can also load a plurality of gesture functions associated with the magnified input panel and detect an input character corresponding to a source text field based on at least one keyboard selection from the keyboard. Additionally, the processor can display the input character in the magnified input panel and the source text field and generate a modified input character to be displayed in the magnified input panel and the source text field based on the input character and at least one gesture corresponding to the plurality of gesture functions.

Abstract: A computer-implemented technique is described herein that receives captured stroke information when a user enters a handwritten note using an input capture device. The technique then analyzes the captured stroke information to produce output analysis information. Based on the output analysis information, the technique modifies the captured stroke information into an actionable form that contains one or more actionable content items, while otherwise preserving the original form of the captured stroke information. The technique then presents the modified stroke information on a canvas display device. The user may subsequently activate one or more actionable content items in the modified stroke information to perform various supplemental tasks that pertain to the handwritten note. In one case, for example, the technique can recognize the presence of entity items and/or list items in the note and then reproduce them in an actionable form.

Abstract: This document describes techniques for, and systems that enable, a multi-stroke smart ink gesture language. The described techniques enable a digital ink user interface that allows a display, that is capable of receiving a digital ink stroke from a passive stylus or an active pen, to receive the digital ink stroke as either a content input or an action input. The digital ink stroke may be determined to be an action input based on proximity to, intersection with, or chronological immediacy to a prior-received digital ink stroke. When multiple digital ink strokes are determined to represent a multi-stroke gesture associated with an action input, the action input is provided to the application, which can then perform the action associated with the action input. The multi-stroke gesture allows users to input both content and actions using the passive stylus or active pen and natural digital inking strokes.

Abstract: The claimed subject matter is directed to providing feedback in a touch screen device in response to an actuation of a virtual unit in a virtual input device. Specifically, the claimed subject matter provides a method and system for providing visual feedback in response to an actuation of a virtual key in a virtual keyboard. One embodiment of the claimed subject matter is implemented as a method for providing luminescent feedback in response to an actuation of a virtual key in a virtual keyboard. User input in a virtual keyboard corresponding to a virtual key is received. The corresponding virtual key is actuated and registered in response to the user input, and a luminescent feedback is displayed to the user as confirmation of the actuation of the virtual key.

Abstract: A computer-implemented technique is described herein that receives captured stroke information when a user enters a handwritten note using an input capture device. The technique then analyzes the captured stroke information to produce output analysis information. Based on the output analysis information, the technique modifies the captured stroke information into an actionable form that contains one or more actionable content items, while otherwise preserving the original form of the captured stroke information. The technique then presents the modified stroke information on a canvas display device. The user may subsequently activate one or more actionable content items in the modified stroke information to perform various supplemental tasks that pertain to the handwritten note. In one case, for example, the technique can recognize the presence of entity items and/or list items in the note and then reproduce them in an actionable form.

Abstract: Semantic zoom techniques are described. In one or more implementations, techniques are described that may be utilized by a user to navigate to content of interest. These techniques may also include a variety of different features, such as to support semantic swaps and zooming “in” and “out.” These techniques may also include a variety of different input features, such as to support gestures, cursor-control device, and keyboard inputs. A variety of other features are also supported as further described in the detailed description and figures.

Abstract: A digital inking device can automatically adapt its interaction modality to provide contextually relevant status information and contextually relevant user interface control elements based on a user's activity. An interaction model of a digital inking device can automatically adapt the display of particular control user interface control elements and particular status indicators based on one or more factors. For example, a digital inking device can select an interaction model from a number of interaction models based on a way a digital inking device is held by a user, a fingerprint of a user, an angle and/or distance of a digital inking device with respect to a paired computer, a particular grip a user has on a digital inking device, an amount of pressure that is used to hold a digital inking device, a contact pressure between a digital inking device and a paired computer, and/or one more gestures performed by a user.