International Business Machines Corporation

Kyndryl, Inc.

Jill S Dhillon

Michael Bender

Jennifer M Hatfield

Jeremy R Fox

Kulvir Singh Bhogal

Rick A Hamilton, Ii

Gregory J Boss

James R Kozloski

Vinod A Valecha

John Falk Kelley

Steven Edward Atkin

Stan Kevin Daley

Juhi Bharat

Sarbajit Kumar Rakshit

Clifford A Pickover

Su Liu

Zachary A Silverstein

Mauro Marzorati

Tushar Agrawal

Tiberiu (Jim) Suto

Yang Liang

Cuong T Nguyen

Logan Bailey

Tamer M Nassar

Neil Delima

Luis Osvaldo Pizana

Gina Mazzarelli

Joshua Totte

Uma Subbu

Sherwin Yu

Kelley Danyi

Kara A Smoot

Natalia Russi-Vigoya

Daniel Anthony DeMarco

Brian K Adams

Disclosed embodiments provide improvements in this technical field by utilizing a digital twin (DT) in a virtual reality (VR) environment. A digital twin is created of a product to be assessed in a normal setting (e.g. an automobile on a highway, an appliance in a kitchen, etc). The individual then uses the product in the digital twin virtual reality environment (DTVRE). During interaction, positive and negative experiences are tagged for later evaluation. Additionally, a person's activities with similar products in a physical environment are monitored using IoT (Internet of Things) sensors. During interactions, sensor data is collected. Embodiments compare the sensor data acquired in the physical environment (PE) and the digital twin virtual reality environment (DTVRE). For the product being used in the digital twin virtual reality environment (DTVRE), embodiments estimate, using the collected data, how the product will perform in a physical environment (PE).

Product performance estimation in a virtual reality environment

An embodiment for improved computer-implemented methods of recommending emotion icons. The embodiment may detect text associated with user activity within a connected messaging environment. The embodiment may, in response to detecting the text associated with user activity within the connected messaging environment, determine a context for the detected text based on at least location data, environment data, language context data, and historical data. The embodiment may generate a filtered series of emotion icons based on the context. The embodiment may display the filtered series of emotion icons to a user for selection.

Method of recommending emotion icons

Described are techniques for appropriately gripping objects by robots. A target object (e.g., circuit board) is identified to be gripped by a robotic arm of a robot, such as a robot in an industrial facility. Upon identifying the target object to be gripped by the robotic arm, the attributes of the target object are determined. One or more pores of the robotic arm may then be selected to be enabled to secrete an adhesive based on the attributes of the target object. Furthermore, the adhesion level corresponding to the amount of the adhesive to be secreted by the selected pores of the robotic arm is determined based on the attributes of the target object. The selected one or more pores of the robotic arm are then activated to secrete the adhesive according to the adhesion level in order to appropriately grip the target object by the robotic arm.

Appropriately gripping objects by robots

Aspects of the present disclosure relate to save context capturing. An indication of a save of a version of software can be received. Contextual data associated with a user managing the version of the software can be associated with the save of the version of software, the contextual data captured during a timeframe temporally related to the save. The association between the contextual data and the save of the version of the software can be stored in a software versioning repository. The save of the version of the software and the associated contextual data can be retrieved in response to a predetermined condition or a request.

Save context capturing

A method, computer program product, and computer system for creating a virtual collaborative space within an intelligent workflow framework. One or more processors of a computer system identify the need for a virtual collaborative space where human interactions can occur to test or optimize the existing workflow and identify triggers for when the virtual collaborative space shall be initiated based on historical learning models trained from instrumentation data generated by the workflow. Responsive to a trigger from the identified triggers, the one or more processors of the computer system alert a first user to enter the virtual collaborative space and initiate the virtual collaborative space. The one or more processors of the computer system replicate a scenario that activated the trigger including identifying parties of interest to the scenario and enable the first user to address an issue in the existing workflow that caused the trigger to occur.

Virtual collaborative space within a workflow

Aspects of the present disclosure relate to augmentation for web conference participants. An augmentation rule set defining mappings between augmentations and participant characteristics can be received, where the augmentation rule set is implemented for a web conference to determine augmentations to apply onto participant video feeds within the web conference. A plurality of participants within the web conference can be identified. The web conference can be analyzed to determine participant characteristics of each participant of the plurality within the web conference. Augmentation can be applied on respective video feeds of each participant according to the augmentation rule set based on the determined characteristics of each participant.

Augmentation for web conference participants

An embodiment for a method of supporting neurodivergent comprehension of content by proactively identifying and transforming predicted difficult comprehension areas for a given user. The embodiment may receive an activation command from a registered user. The embodiment may automatically identify, within displayed content, predicted difficult comprehension areas based on a series of preferences and behaviors associated with the registered user. The embodiment may mark a textual element associated with the predicted difficult comprehension areas that may be transformed to improve comprehensibility of the predicted difficult comprehension areas for the registered user. The embodiment may detect user interaction with the marked textual element. The embodiment may, in response to detecting user interaction with the marked textual element, transform the marked textual element and provide transformed content to the registered user.

Transforming content to support neurodivergent comprehension of the content

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: storing into a storage device a video data file; examining video file data defining the video data file, wherein the examining includes determining a relevancy of a section of the video data file; reducing a size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file; storing a reduced-size version of the video data file into the storage device, the reduced-size version of the video data file having a reduced size relative to the video data file by performance of the reducing the size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file.

Video data size reduction

In an approach to resource monitoring and allocation recommendation, a computer determines a work activity for a risk assessment. A computer determines one or more resources assigned to the work activity. A computer determines one or more current activities associated with the one or more resources assigned to the work activity. Based on the one or more resources assigned to the work activity and on the one or more current activities associated with the one or more resources assigned to the work activity, a computer determines a confidence level associated with successful completion of the work activity. A computer determines the confidence level does not exceed a pre-defined threshold. A computer determines one or more resource scenarios to improve the confidence level. A computer ranks the one or more resource scenarios. A computer generates a resource allocation recommendation based on the ranked one or more resource scenarios.

Implementing machine learning to identify, monitor and safely allocate resources to perform a current activity

One example of a computer-implemented method comprises receiving content data for a first physical note removably attached to a first display area of a first collaborative board located in a first location. The content data includes information displayed on the first physical note. The method further comprises determining a position of the first physical note on the first collaborative board; and outputting instructions to a second collaborative board located in a second location to generate a first virtual note in a second display area of the second collaborative board such that information displayed on the first virtual note corresponds to the information displayed on the first physical note and a position of the first virtual note on the second display area corresponds to the position of the first physical note on the first collaborative board.

Distributed collaborative environment using physical notes

Assessing, using a computer, a state of a participant and sharing personalized data for the participant in an electronic group meeting or collaboration using a communications network. Personalized data is received at a computer for a user participating in electronic group communications including group collaboration. The personalized data received at the computer includes biometric data and personality profile results. The biometric data includes biometric changes in real-time. A biometric change in the user is detected from a baseline for the user. In response to the biometric change, the biometric data is analyzed and the personality profile results to determine a suggested action regarding the user. The suggested action is communicated to the user or another participant user of the group meeting based on the analysis.

Sharing personalized data in an electronic online group user session

A system and computer-implemented method are provided for enabling an audio interface enhanced autocorrect feature in a mobile device. The method includes detecting activation of an autocorrect feature of a mobile device in response to a portion of text not appearing in a system dictionary, enabling a microphone in response to activation of the autocorrect feature, receiving audio input from a user responsive to a word replacement by the autocorrect feature, and implementing an enhanced autocorrect action based on the audio input.

Enhanced autocorrect features using audio interface

A method and system for using target audience based attributes for modifying an electronic dictionary is provided. The method includes detecting a communication application being enabled via an electronic device. In response, electronic communications of a user are monitored and analyzed with respect to the electronic device and user attributes. Linguistic patterns associated with the electronic communications are determined and with respect to additional electronic communications of said user and a weighted prioritization list of the common terms is generated and electronic dictionary software is modified accordingly. A specified electronic communication currently being entered into the electronic device is monitored and each term of the specified electronic communication is analyzed. In response to the analysis, suggested terms for entering within the specific electronic communication are presented via a graphical user interface of the electronic device.

Group pattern based electronic dictionary modification and presentation

A method and system for using vocal patterns of a user for modifying an electronic dictionary is provided. The method includes continuously retrieving vocal communications of a user and converting the vocal communications into text data. Common terms communicated by the user are selected from the text data and resulting linguistic patterns are determined. In response, a weighted prioritization list of the common terms is generated and electronic dictionary software is modified accordingly. A specified electronic communication currently being entered into the electronic device is monitored and each term of the specified electronic communication is analyzed. In response to the analysis, suggested terms for entering within the specific electronic communication are presented via a graphical user interface of the electronic device.

Pattern based electronic dictionary modification and presentation

A method of batch processing that includes registering item types to be processed by a batch management system including care instructions for the item types; recording batch items being added to a batch processing machine; and determining compatibility of at least one of each of said batch items being added to the batch processing machine to a total batch with an item to be processed to registered item match generator of said batch management system. Determining compatibility includes matching at least one of each item being added to the batch processing machine to the care instructions of the registered item types. The method may further include reporting compatibility of at least one of each item being added to the batch processing machine.

Growing community of inventors

Houston, TX, United States of America

Jill S Dhillon