Abstract: A computer system provides haptic feedback based on content analytics. Media data is analyzed using a machine learning model to identify one or more moods for one or more portions of the media data. A haptic feedback response is determined based on the identified one or more moods. Instructions are provided to a haptic feedback device to cause the haptic feedback device to apply the haptic feedback response to a user in synchronization with presentation of the media data to the user. Embodiments of the present invention further include a method and program product for providing haptic feedback based on content analytics in substantially the same manner described above.

Abstract: Aspects of the present invention disclose a method for dynamic password inducing techniques for security configuration and validation of a user. The method includes one or more processors identifying textual data of a user. The method further includes generating a set of password parameters for a password. The method further includes identifying one or more password dynamisms of the user from one or more sources, where the one or more password dynamisms are dynamic inputs, from the user, to an authentication device. The method further includes modifying the textual data to include a text placeholder, wherein the text placeholder includes a replacement parameter that induces the user to provide a password dynamism. The method further includes configuring the set of password parameters for the password of the user based at least in part on the one or more password dynamisms of the user from the one or more sources.

Abstract: VR enabled IoT device resolution methods are described for receiving user request data (URD) corresponding to a user request comprising a natural language utterance (NLU) to resolve a problem with IoT devices in a user IoT environment from a first user device (UD), determining a problem identifier based on the NLU, determining access restrictions based on the URD, identifying resolution personnel based on the problem identifier, transmitting resolution personnel data comprising a prompt to receive user authorization to access the user IoT environment to the first UD, receiving user authorization data; establishing a remote access session (RAS) between the first UD and a second UD granting the resolution personnel access to the user IoT environment, transmitting rendering instructions to the second UD causing the second UD to render a VR environment in a second UD user interface based on the user IoT environment, the IoT devices, and the access restrictions.

Abstract: Computer technology for management and organizing paused and ongoing conversation in an augmented reality (AR) user interface (for example, an interface for products like Google Glass) and for creating a dynamic user interface with the paused and ongoing computer based chat conversations that include: (i) merger of two or more paused conversation content to a single resumed conversation content; and/or (ii) handing over one or more paused conversation to other users.

Abstract: A method, computer system, and a computer program product for artificial intelligence-based virtual meeting presentation oversight are provided. A stream of a virtual meeting having a first computer designated for screen sharing control is received. A broadcast hindrance update from the first computer is received. The broadcast hindrance update is input into a machine learning model. As output from the machine learning model a recommendation regarding switching of the screen sharing control is received. In response to the receiving and to the recommendation indicating that the screen sharing control should be switched, a control switching signal is sent to a second computer participating in the virtual meeting.

Abstract: A method for engagement based contextual feedback, the method determines a required level of attention for a user interacting with content in a user interface of an electronic device and determines a level of attention for the user interacting with the content in the user interface of the electronic device. In responsive to determining the required level of attention is greater than the level of attention for the user, the method identifies available corrective actions performable by one or more electronic components on the electronic device. In responsive to identifying one or more user and electronic device interactions, the method selects one or more corrective actions from the available actions based on the one or more user and electronic device interactions. The method performs, via the one or more electronic components, the selected one or more corrections actions on the electronic device.

Abstract: A method for transferring content utilizing contextual positioning includes receiving a content selection for transferring from an originating device. The method also includes determining contextual positioning in a user interface of the originating device for each portion of the content selection, wherein the contextual positioning is based on the content selection and one or more objects in the user interface of the originating device. The method also includes sending, to a receiving device, each portion of the content selection with the determined contextual positioning in the user interface of the originating device. The method also includes placing, in the user interface of the receiving device, each portion of the content selection is based on the determined contextual positioning in the user interface of the originating device.

Abstract: Mechanisms are provided for automatically generating a user interactable what-is-new feature for an updated application. The mechanisms obtain footprint data from electronic documents generating during a software development lifecycle to generate an update to an application, where the footprint data specifies development requirements and actions performed by at least application developers during the software development lifecycle. The mechanisms further obtain test case generation data from a recording of test case generation interactions with a graphical user interface and execute computer natural language processing on the footprint data and analysis of the recording of the test case generation interactions to automatically generate a what-is-new container for the update to the application.

Abstract: A method for engagement based contextual feedback, the method determines a required level of attention for a user interacting with content in a user interface of an electronic device and determines a level of attention for the user interacting with the content in the user interface of the electronic device. In responsive to determining the required level of attention is greater than the level of attention for the user, the method identifies available corrective actions performable by one or more electronic components on the electronic device. In responsive to identifying one or more user and electronic device interactions, the method selects one or more corrective actions from the available actions based on the one or more user and electronic device interactions. The method performs, via the one or more electronic components, the selected one or more corrections actions on the electronic device.

Abstract: An embodiment for managing a real and virtual world is provided. The embodiment may include receiving a data stream of a virtual reality (VR) environment. The embodiment may also include identifying one or more users in the VR environment. The embodiment may further include analyzing one or more interactions of the one or more users in the VR environment. The embodiment may also include identifying at least one user who left the VR environment. The embodiment may further include in response to determining an action is required of the at least one user, presenting a notification to the at least one user that left the VR environment whose action is required. The embodiment may also include executing a response to the notification from the at least one user.

Abstract: The present specification describes a computer-implemented method. According to the method, an object within a range of vision of a user is identified via a capture device on a wearable augmented reality (AR) system worn by the user. A user interaction with an identified object within the range of vision of the user is monitored. A notification related to the identified object is generated and presented on a display device of the wearable AR system.

Abstract: An embodiment for managing a real and virtual world is provided. The embodiment may include receiving a data stream of a virtual reality (VR) environment. The embodiment may also include identifying one or more users in the VR environment. The embodiment may further include analyzing one or more interactions of the one or more users in the VR environment. The embodiment may also include identifying at least one user who left the VR environment. The embodiment may further include in response to determining an action is required of the at least one user, presenting a notification to the at least one user that left the VR environment whose action is required. The embodiment may also include executing a response to the notification from the at least one user.

Abstract: A system to provide increased visibility and insight into unexpected usage patterns for electronic devices is described. The utilization analysis system applies a utilization model to device utilization information. The utilization model is also used to determine one or more device usage patterns for the electronic device. These device usage patterns are used to determine an unexpected device utilization where the system responds to the unexpected device utilization with several hardware and software solution proposals to prevent damage to the electronic device and/or enhance the design and development of the electronic device.

Abstract: According to one embodiment, a method, computer system, and computer program product for preventing malware propagation. The embodiment may include identifying a malware scan report of an Internet-of-Things (IoT) device within an automated material handling (AMH) environment. The embodiment may include determining whether the IoT device is malware affected. In response to determining that the IoT device is malware affected, the embodiment may include disabling the IoT device. The embodiment may include instructing an industrial robot to transport the IoT device to a destination location within the AMH environment.

Abstract: A current state of a mobile computing device may be monitored. The mobile computing device has a set of one or more installed applications. The current state is related to the set of installed applications. A first computing action of a user of the mobile computing device is identified responsive to the current state. The first computing action is related to the set of installed applications. Responsive to the first computing action, a set of one or more candidate computing actions is determined. The mobile computing device generates, based on the first computing action, a projected visualization that relates to a first candidate computing action of the set of candidate computing actions.

Abstract: A parallel presentation system includes computer hardware including a parallel presentation platform (PPP) connected to an extended reality (XR) system associated with a user. The computer hardware is configured to perform the following operations. A lookup point associated with the user is identified by the PPP. The PPP determines that the user has shifted focus from a first data stream to a second data stream. A shift time associated with the shift along with an identification of the first data stream is stored by the PPP in association with the user. A summarization of the first data stream is generated using a summarization engine of the PPP and the summarization is based upon the shift time and the lookup point. The summarization is forwarded by the PPP to the XR system. Information regarding the summarization is configured to be parallel-presented by the XR system associated with the user.

Abstract: Provided are a computer program product, system, and method for generating a visualization of blocks of code statements related to errors in a log file. A log file logs errors in execution of program code. Source code, from which the program code is compiled, is analyzed to determine blocks of statements in the source code whose execution resulted in the errors in the log file. Blocks of statements in the source code are annotated with the errors in the log file caused by the blocks of statements. Execution of a block of statements annotated with an error resulted in the error logged in the log file. The annotated blocks of statements are processed to generate a video providing a visualization of the blocks of statements in the source code whose execution resulted in the errors.

Abstract: Provided are techniques for performing edge processing by selecting edge devices based on security levels. A security policy is identified for a job to determine a security level for the data. A number of the edge devices that are to be included in a participating group to execute the job is identified. A subset of edge devices that meet the security level are identified by comparing security data of each of the edge devices with the security level. In response to determining that the subset of edge devices includes that number of edge devices, the edge devices from the subset are added to the participating group. The job is executed using the edge devices in the participating group and the one or more cloud nodes, while maintaining the security level in processing the data and in communications across the edge devices and the one or more cloud nodes.

Abstract: A processor may receive first sensor data associated with detected movement of a user in an environment. The processor may determine, using an AI model, based on the first sensor data, that the movement of the user is associated with a first object. The processor may retrieve sensory data associated with the first object from a repository. In some embodiments, the sensory data may include at least one of auditory, olfactory, and haptic data associated with historical user interactions with the first object. The processor may provide a first sensory signal to the user to indicate a location of the first object relative to a first location of the user.

Abstract: A mechanism is provided in a data processing system for proactive deployment of connected vehicles to a connected vehicle ecosystem based on computerized simulation and prediction of contextual situations in accordance with an illustrative embodiment. The mechanism collects real-world data from sensors in a connected vehicle ecosystem and simulates the connected vehicle ecosystem based on the real-world data and a simulation model data of the connected vehicle ecosystem. The mechanism predicts changes in contextual situations in the connected vehicle ecosystem that affect connected vehicle services provided in the connected vehicle ecosystem based on the simulation of the connected vehicle ecosystem, the real-world data, and the simulation model data.