Abstract: Systems, methods, and computer programming products for generating, rendering and/or displaying a computer-generated virtual environment as augmented reality and/or virtual reality. The physical boundaries containing the active area where the virtual environments are rendered and displayed are established. Based on the constraints and characteristics of the physical boundaries, virtual environments are mapped using assets from real, historical and/or fictitious locations. The assets can be dynamically re-sized and distanced to fit constraints of the physical space. Based on historical levels of interactivity with the selected environments, the virtual assets can be sorted and tagged as points of interest or filler assets, then mapped to the virtual environment using GAN technology and other machine learning techniques to re-create unique versions of the selected environments.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by applying machine learning (ML) model(s) to user transcripts, the ML model(s) trained to classify interactions with an interactive computing platform, the user transcripts including user interactions between users and the interactive computing platform in progression of the users through tasks based on the user interactions, where the applying classifies the user interactions and identifies features of the user interactions, and building and providing a graphical user interface (GUI) of graphical elements for display on a display device, the graphical elements presenting visualizations of the user interactions and the identified features thereof relative to the tasks and progression of the users therethrough, the GUI including, for each of the tasks, a respective task element that reflects identified features of a set of user interactions of user(s) in progressing through that task.

Abstract: A computer that generates a profile of a user based on user preferences, where the user preferences related to an optimal geolocation for the user within a workspace. The computer monitors biometric conditions of the user and environmental conditions of the workspace. The computer categorizes a plurality of areas of the workspace based on the environmental conditions and determines the optimal geolocation for the user by identifying an area within the plurality of areas based on the user preferences and the biometric conditions.

Abstract: A computer indicates to a user in a virtual reality shopping session, aspects of availability for a selected item. The computer identifies, in a virtual reality (VR) shopping environment, a product selected for consideration by a group of interested shoppers during a VR shopping session, including a user and at least one additional shopper. The computer determines that the product has an available quantity value below a predetermined warning threshold, based at least in part on a comparison of an in-stock quantity of the product and an indicated purchase quantity preference associated with the interested shoppers for the product. In response to the determination, the computer identifies, a product popularity value representing, at least in part, a quantity associated with the group of interested shoppers. The computer displays, in the VR shopping environment to the user, the product popularity value.

Abstract: A method, computer system, and a computer program product for generating a summary video from a plurality of presentation attendee notes is provided. Embodiments of the disclosure may include collecting the plurality of attendee notes from a plurality of attendees of a presentation and then analyzing the collected plurality of notes to identify a plurality of common note topics. The identified plurality of common note topics may be correlated to a plurality of portions in a presentation video of the presentation which is used to generate the summary video by combining the correlated plurality of portions in the presentation video.

Abstract: A computer-implemented method, system, and computer program product for generating an aggregated user interface display. The aggregated user interface display includes a physical display of a computing device and a projected display from an electronic pen. Operator interactions with the aggregated user interface display are saved as historical information. The historical information is used to determine a configuration for the aggregated user interface display. The computing device and the electronic pen are controlled to implement the configuration for the aggregated user interface display.

Abstract: Embodiments for delay-induced miscommunication reduction are provided.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically determine whether a received command conflicts with a current environment setting. Embodiments of the present invention can, in response to determining that the impact of a received command conflicts with a current environment setting, determine one or more solutions that resolves the received command. Embodiments of the present invention can then execute at least one of the one or more determined solutions.

Abstract: A processor may receive a submission of a command. The processor may analyze the command for at least one commonality with a previous command and predict a predicted reason for the submission of the command based on historical learning. The processor may integrate the predicted reason into a corpus specific to a user, wherein the corpus includes user preference data, and wherein the processor predicts one or more orders of the user using the corpus.

Abstract: A computer-implemented method comprises obtaining a physical location of a sensor on a device; determining that quality of data captured by the sensor physically located on the device is degraded based on a comparison of the captured data to a quality threshold; and, in response to determining that the quality of the data captured by the sensor is degraded, displaying a visual indicator on a display of the device. The visual indicator includes at least one non-textual component that directs a user to the physical location of the sensor on the device.

Abstract: A method comprises detecting blockage of a sensor on a primary device while capturing media content with the sensor on the primary device and, in response to the detected blockage of the sensor, communicating with at least one secondary device in an area of the primary device to activate a corresponding sensor on the at least one secondary device which causes the corresponding sensor to capture media content simultaneously with the blocked sensor on the primary device. The method further comprises modifying the media content captured by the blocked sensor on the primary device based on the media content captured by the corresponding sensor on the at least one secondary device to mitigate effects of the blockage of the sensor on the primary device.

Abstract: A computer-implemented method and a computer program product for optimizing groupings in a breakout session in a virtual classroom. A computer retrieves profiles of students in the virtual classroom, where the profiles of the students include data of academic performances of the students. The computer retrieves a known correspondents archive which includes historic data of productivities correlated to interactions among the students. In response to initialization of the breakout session in the virtual classroom, the computer determines optimal groups that yield most productive results, based on the profiles of the students, the known correspondents archive, and requirements of group settings given by an instructor, using a machine learning model. The computer provides the instructor with the optimal groups. In another embodiment, the computer analyzes context of customized assignments for the breakout session and determines the optimal groups further based on the context to the customized assignments.

Abstract: A method comprises detecting blockage of a sensor on a primary device while capturing media content with the sensor on the primary device and, in response to the detected blockage of the sensor, communicating with at least one secondary device in an area of the primary device to activate a corresponding sensor on the at least one secondary device which causes the corresponding sensor to capture media content simultaneously with the blocked sensor on the primary device. The method further comprises modifying the media content captured by the blocked sensor on the primary device based on the media content captured by the corresponding sensor on the at least one secondary device to mitigate effects of the blockage of the sensor on the primary device.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically determine whether a received command conflicts with a current environment setting. Embodiments of the present invention can, in response to determining that the impact of a received command conflicts with a current environment setting, determine one or more solutions that resolves the received command. Embodiments of the present invention can then execute at least one of the one or more determined solutions.

Abstract: One or more computer processors establish a geofence surrounding a display having a plurality of pixels capable of change based on one or more display capabilities. The one or more computer processors monitor for a change in at least one pixel of the plurality of pixels. The one or more computer processors identify a photosensitive user within the established geofence. The one or more computer processors responsive to the at least one pixel change associated with the display, calculate a photosensitivity score utilizing a model trained for one or more photosensitive conditions associated with the photosensitive user. The one or more computer processors adjust the display to show a change on the at least one pixel based on the calculated photosensitivity score.

Abstract: One or more computer processors generate a network fractal based on one or more predicted network conditions for a network that includes a change in user density, user device latency, and network throughput, wherein the network fractal is a deployment template comprised of a plurality of nodes. The one or more computer processors select a configuration of network infrastructure devices placed at each node in the plurality of nodes comprised in the generated network fractal. The one or more computer processors modify the network utilizing the generated network fractal and the selected configuration of network infrastructure devices. The one or more computer processors deploy the modified network.

Abstract: A system for a dynamic weather-driven seat selection is provided. A computing device receives (i) weather data, (ii) venue data for a physical venue, and (iii) user preferences, the user preferences including preferred sun exposure information for a user. The computing device predicts cloud coverage and available shade for the physical venue, based, at least in part, on the weather data and the venue data. The computing device generates a sun exposure profile for the physical venue, based, at least in part, on the predicted cloud coverage and available shade. The computing device provides a user with a dynamic seat selection for a scheduled event at the physical venue based, at least in part, on the user preferences and the sun exposure profile.

Abstract: A method for augmenting communication, a computer program product for augmenting communication, and an augmented reality system. The method for augmenting communication may comprise calculating a sound boundary within which a communication can be heard, generating a visualization of the sound boundary on an augmented reality device, and presenting the visualization on the augmented reality device. The sound boundary may represent a predicted maximum distance at which the communication can be understood.

Abstract: Upon an attempt to communicate through an audio input source in a voice session, a determination can be made whether an audio quality received from a user through the audio input source is below an audio quality threshold. In response to determining that the audio quality through the audio input source is below the audio quality threshold, a first voice input can be received from the user from a first position. A second voice input can be received from the user from a second position. A first volume of the first voice input from the first position can be compared to a second volume of the second voice input from the second position. Feedback can be provided to the user indicating whether the user is closer or farther from the audio input source based on the comparison.

Abstract: A processor-implemented method for predicting alternative communications based on textual analysis. The method includes building, by machine learning, a model to predict an optimal communication method, whereby the building includes training the model on a knowledge corpus of historic data and user data, and results of previous predictions in similar circumstances. The method further includes intercepting textual communication within communication channels, wherein the intercepting comprises a keyboard capture, a screen capture, or both a keyboard capture and a screen capture. The method further includes identifying, by pattern analysis, sentiment analysis, and textual analysis, topics, sentiments, and participants within the intercepted textual communication. The method further includes predicting, by the model, the optimal communication method, whereby the optimal communication method comprises continuing the textual communication, a video conference or a telephone conference.