Abstract: A method for automatically providing instructional content based on wearable data from a wearable device is provided. The method may include automatically tracking and receiving, via the wearable device, real-time wearable data associated with a user and a detected user activity including automatically detecting body sensor data associated with the user and corresponding to the detected user activity. The method may also include automatically determining whether the tracked and received real-time wearable data associated with the user and the user activity indicates a user frustration event. The method may further include in response to automatically determining that the tracked and received real-time wearable data associated with the user and the user activity indicates the user frustration event, automatically retrieving and presenting the instructional content from instructional material related to the user activity and the user frustration event.

Abstract: In an approach for generating a test case from a conversational context between two or more users and storing the test case as a repeatable and deployable robotic process automation bot, a processor monitors an online communication between a first user and a second user using a natural language processing method. Responsive to determining the second user has provided an affirmative response to a request to test a system, a processor outputs a payload to the second user, wherein the payload contains one or more test cases. Subsequent to a N number of iterations of the second user and one or more additional users testing the system, a processor builds a Convolutional Neural Network model to predict when the first test case is successful. Responsive to finding a flag of success, a processor stores the first test case as a repeatable and deployable robotic process automation bot.

Abstract: An embodiment for dynamically modifying print codes to accommodate printing errors. The embodiment may track print data associated with a printing operation against a set of desired specifications. The embodiment may identify a defect in the printing operation based on the tracked print data. The embodiment may, in response to identifying the defect associated with the printing operation, pause the printing operation. The embodiment may generate remediating g-code alterations based on the identified defect and the set of desired specifications. The embodiment may generate a first digital twin corresponding to the set of desired specifications, and a second digital twin corresponding to the generated remediating g-code alterations. The embodiment may rebase the paused printing operation based on the generated remediating g-code alterations and the first and second digital twins. The embodiment may leverage the generated remediating g-code alterations to resume the rebased paused printing operation.

Abstract: An embodiment for infusing avatars into a metaverse meeting for post recording interaction is provided. The embodiment may include receiving a previously recorded metaverse meeting including interactions of participants. The embodiment may also include identifying one or more conversational elements in the previously recorded metaverse meeting. The embodiment may further include identifying one or more interactions of a primary post-meeting user with the one or more conversational elements. The embodiment may also include creating an avatar for the primary post-meeting user. The embodiment may further include updating the previously recorded metaverse meeting by integrating the created avatar for the primary post-meeting user into the previously recorded metaverse meeting. The embodiment may also include in response to determining there is no secondary post-meeting user, notifying one or more absent users who were referenced during the previously recorded metaverse meeting to input a response.

Abstract: A computer-implemented method includes connecting to a dataset; ingesting data from a user interface (UI); and comparing ingested data in fields that have been entered to expected data. The expected data includes data in corresponding entries of the dataset, and backend document object model (DOM) values. The computer-implemented method further comprises identifying any inconsistencies between the ingested data and the expected data.

Abstract: A method, computer program product, and computer system for monitoring content consumption and alerting a user to a negative attention pattern. An application interaction by the user on one or more electronic devices is detected and a monitoring time period is initiated. Content consumption by the user on the one or more electronic devices over the monitoring time period is monitored and the monitored content consumption by the user over the monitoring time period is evaluated for a negative attention pattern. An alert is generated when the negative attention pattern is determined to be present.

Abstract: Targeted robotic process automation (RPA) bot decisioning includes building a user-specific decisioning profile of a user, where the user-specific decisioning profile characterizing user decision-making in performing task actions as part of workflow execution on a user device, monitoring for deployment of workflow tasks and identifying that a deployed workflow task includes a decisioned task action, selecting the user-specific decisioning profile, and executing an RPA bot to perform the decisioned task action based on the user-specific decisioning profile, in which decisioning criteria informed by the user-specific decisioning profile serves as a basis for the execution of the RPA bot in automatically performing the decisioned task action.

Abstract: A method, by an intelligent access control system, of implementing access control to a controlled area having a plurality access areas divided by at least one access point includes the following operations. A security token is generated. The security token is transmitted to a client module executing on a client device associated with a first user, and the client module is caused to pair with an access control device associated with the first user. The client module is caused to transfer the security token to the access control device. A physical location of the client device within the controlled area is monitored. A determination is made, by an access control system and based upon the physical location, that the first user is to be revalidated. The client module causes, based upon the determining, the client device to generate an alert.

Abstract: Segmentation of personalized content from media content of events includes retrieving media content associated with an event. In data including a set of attributes associated with a user is retrieved. The user is one of an active participant of the event or a passive participant of the event. A machine learning (ML) model is applied to the input data and the media content. Additionally, a segment of the media content correlated with the set of attributes is determined. At least one an alert or the segment is rendered on a user device associated with the user.

Abstract: Various embodiments are provided herein for making ergonomic keybinding adjustments based on user behavioral inputs in a computing environment having one or more processor devices. One or more metrics of a user input are measured. If the one or more metrics are determined to exceed a predetermined threshold, one or more of the user behavioral inputs associated with the one or more metrics are identified to be provided to a keybinding adjustment o the one or more behavioral inputs.

Abstract: Mechanisms are provided to automatically identify referenced assets in real-time streaming communications and automatically identify, retrieve, and present these assets during the real-time streaming communication. The mechanisms obtain, in real-time, a textual representation of a user's input during the real-time streaming communication. As part of a background process to the real-time streaming communication, computer natural language processing is executed on the textual representation to identify key terms or key phrases from the textual representation. The computer natural language processing is specifically configured to identify key terms/phrases corresponding to references to assets. As part of the background process, one or more search queries are generated and executed to search for a matching asset based on the identified key terms/phrases. As part of the real-time streaming communication, the matching asset is presented to participant computing devices of the real-time streaming communication.

Abstract: Managing opt-in audio input is provided. A set of insights corresponding to an upcoming in-person event is generated using a set of machine learning models based on keyword frequency, predicted event attendee sentiment, predicted most discussed event topics, predicted frequently asked event questions, and predicted event outcome. An event summary for the upcoming in-person event is generated using the set of insights corresponding to the upcoming in-person event that was generated based on the keyword frequency, the predicted event attendee sentiment, the predicted most discussed event topics, the predicted frequently asked event questions, and the predicted event outcome. The event summary for the upcoming in-person event is distributed using a distribution channel to an event organizer and a plurality of event attendees who will be physically present at the in-person event.

Abstract: A computer-implemented method for training a large language model (LLM) on a plurality of programming languages to recognize common coding patterns and generating, using the trained LLM, software code based on user-defined inputs. The method further includes analyzing the generated software code to identify destructive code and determining a reversal of the generated software code from a current state to a previous state is required based on the destructive code. Responsive to the determining that a reversal is required, the method may include running the generated software code comprising the destructive code in a controlled and isolated environment and providing a user with a reversal function that causes the generated software code to revert from the current state to the previous state. The method further includes executing the generated software code.

Abstract: Aspects of the present disclosure relate to virtual diagram generation and management. Speech data can be obtained from a speaker within a web conference. A set of key phrases can be extracted from the speech data within the web conference based on a first set of user data associated with a first user. A virtual diagram can be generated using the set of key phrases, wherein the virtual diagram is generated based on the first set of user data. The virtual diagram can be caused to be displayed to the first user within the web conference.

Abstract: A computer-implemented method includes capturing, using one or more cameras, user interactions with a printed three-dimensional (3D) object. The printed 3D object has a digital twin. The user interactions, captured by the one or more cameras, are interpreted using the digital twin. Actions are generated based on the interpreted user interactions.

Abstract: In an omnichannel call center, a voice call between a caller and an agent is monitored, including generating text of the voice call in real time, and using Natural language processing (NLP) on the text to determine whether the call has been prematurely disconnected. If the call was prematurely disconnected, an alternative communication channel between the caller and the agent is established.

Abstract: A computer-implemented method, a computer system and a computer program product customize delivery of transactional documents. The method includes receiving a transactional document associated with a user. The method also includes obtaining a preferred document format for the user and a preferred delivery method for the user from a database. The method further includes identifying a current display format of the transactional document. In addition, the method includes modifying the current display format of the transactional document, wherein a modified transactional document has the preferred document format for the user. Lastly, the method includes transmitting the modified transactional document to the user using the preferred delivery method for the user.

Abstract: Generation and use of screenshots of interactive displays are provided. A screenshot is received. The screenshot comprises an area of an interactive display. An interactive object is identified within the area of the interactive display. The interactive object corresponds to a function. A simulated interactive object corresponding to the interactive object is generated. The simulated interactive object corresponds to the function. A composite screenshot comprising the screenshot and the simulated interactive object is rendered for display, on a display.

Abstract: A computer-implemented method for training a large language model (LLM) on a plurality of programming languages to recognize common coding patterns and generating, using the trained LLM, software code based on user-defined inputs. The method further includes analyzing the generated software code to identify destructive code and determining a reversal of the generated software code from a current state to a previous state is required based on the destructive code. Responsive to the determining that a reversal is required, the method may include running the generated software code comprising the destructive code in a controlled and isolated environment and providing a user with a reversal function that causes the generated software code to revert from the current state to the previous state. The method further includes executing the generated software code.

Abstract: Embodiments of the disclosure provide systems and methods for implementing 3D printing to manufacture 3D print objects with dynamic adjustment of 3D print infill specifications based on determined regions of stress points in a given 3D device design. A disclosed method comprises receiving a 3D object design for a 3D device to be printed; determining, based on the 3D object design and a trained model, a region of the 3D object with a projected likelihood of human interaction above a threshold likelihood; and generating, based on the determined region of the 3D object, instructions to selectively adjust one or more print infill specifications at the region.