Abstract: Methods and systems for leveraging a topic divergence model to generate dynamic sidebar chat conversations are disclosed. A method includes: collecting, by a computing device, data from a first group chat; determining, by the computing device, a main topic of the first group chat and a current topic of the first group chat using the data collected from the first group chat; determining, by the computing device, a first divergence score representing a degree of divergence between the main topic of the first group chat and the current topic of the first group chat; determining, by the computing device, that the first divergence score exceeds a predetermined threshold; and in response to determining that the first divergence score exceeds the predetermined threshold, the computing device creating a second group chat; determining an efficacy based on an emotive analysis which increases as the divergence score decreases.

Abstract: Controlling the volume of a Virtual Personal Assistant (VPA) by receiving radio frequency (RF) data associated with a user, identifying a location of a user relative to the VPA, creating a volume adjustment model using the data and VPA data, tracking movement of the user based on the data, and adjusting a volume of the VPA according to the volume adjustment model.

Abstract: Controlling the volume of a Virtual Personal Assistant (VPA) by receiving radio frequency (RF) data associated with a user, identifying a location of a user relative to the VPA, creating a volume adjustment model using the data and VPA data, tracking movement of the user based on the data, and adjusting a volume of the VPA according to the volume adjustment model.

Abstract: An approach is provided that receives a textual user input at a graphical user interface (GUI) that is displayed on a display screen. The GUI includes a number of windows that each correspond to a different application with one of the windows having the input focus. The approach determines an input context type for the received textual input and compares the input context type to application contexts that correspond to the applications being displayed in the windows. One of the applications is selected based on the comparison and the received textual user input is then directed to the window that corresponds to the selected application.

Abstract: An approach is provided that receives a textual user input at a graphical user interface (GUI) that is displayed on a display screen. The GUI includes a number of windows that each correspond to a different application with one of the windows having the input focus. The approach determines an input context type for the received textual input and compares the input context type to application contexts that correspond to the applications being displayed in the windows. One of the applications is selected based on the comparison and the received textual user input is then directed to the window that corresponds to the selected application.

Abstract: Methods and systems for leveraging a topic divergence model to generate dynamic sidebar chat conversations are disclosed. A method includes: collecting, by a computing device, data from a first group chat; determining, by the computing device, a main topic of the first group chat and a current topic of the first group chat using the data collected from the first group chat; determining, by the computing device, a first divergence score representing a degree of divergence between the main topic of the first group chat and the current topic of the first group chat; determining, by the computing device, that the first divergence score exceeds a predetermined threshold; and in response to determining that the first divergence score exceeds the predetermined threshold, the computing device creating a second group chat.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining image data representing page content of a physical book; running a character recognition process to process the image data for providing a text string of machine encoded text corresponding to text of the physical book; identifying within a data repository that stores one or more electronic book a string of text of an electronic book that matches the text string of machine encoded text; and based on the identifying, digitally bookmarking the electronic book.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining image data representing page content of a physical book; running a character recognition process to process the image data for providing a text string of machine encoded text corresponding to text of the physical book; identifying within a data repository that stores one or more electronic book a string of text of an electronic book that matches the text string of machine encoded text; and based on the identifying, digitally bookmarking the electronic book.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining image data representing page content of a physical book; running a character recognition process to process the image data for providing a text string of machine encoded text corresponding to text of the physical book; identifying within a data repository that stores one or more electronic book a string of text of an electronic book that matches the text string of machine encoded text; and based on the identifying, digitally bookmarking the electronic book.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining image data representing page content of a physical book; running a character recognition process to process the image data for providing a text string of machine encoded text corresponding to text of the physical book; identifying within a data repository that stores one or more electronic book a string of text of an electronic book that matches the text string of machine encoded text; and based on the identifying, digitally bookmarking the electronic book.

Abstract: Biometric-based disabling of a mobile device is provided. The method includes enabling one or more biometric sensor(s) on a mobile device, and allowing setting of the biometric sensor(s) to enable use of the mobile device for a user. The method also includes providing disabling of one or more features of the mobile device for other users, and based on the biometric sensor(s) sensing an other user using the mobile device, automatically disabling the feature(s) of the mobile device, while allowing selected content on the mobile device loaded by the user to continue to be displayed or played on the mobile device for the other user. Disabling the feature(s) of the mobile device may include automatically placing the mobile device in a locked state to block any mobile device notifications, and to prevent the other user from interacting with the mobile device.