International Business Machines Corporation

Kyndryl, Inc.

Wayfair LLC

Todd Russell Whitman

Aaron K Baughman

John P Perrino

Diwesh Pandey

David C Bastian

Jeremy R Fox

Nicholas Albert McCrory

Guillaume Hoareau

Johannes Jaco Liebenberg

John Gerard Musial

Sarbajit Kumar Rakshit

Mauro Marzorati

Michael Bender

Zachary A Silverstein

Craig M Trim

Andrew R Jones

John Monnett

Shikhar Kwatra

Kulvir Singh Bhogal

Jeremy A Greenberger

Stephen Carl Hammer

Barry Michael Graham

Marc Yvon

Michael Seth Silverstein

Didier Boullery

Robert Eugene Coon

Ugo Ivan Orellana Gonzalez

Robert Ryan Gavin

Gary L Osburn

Nik McCrory

According to one embodiment, a method, computer system, and computer program product for iteratively improving a virtual model of an object to be printed in a mixed reality environment is provided. The present invention may include rendering the virtual model within the mixed-reality environment; monitoring interactions between a user and the virtual model within the mixed-reality environment; predicting one or more deficiencies in the physical object based on the monitoring; suggesting one or more edits of the virtual model to the user to address the one or more predicted deficiencies; and integrating the one or more edits into the virtual model.

Iterative virtual reality modeling amelioration for three-dimensional to-be-printed objects and virtual reality filament sections

Systems and methods synchronize content of a virtual environment with a state of a physical environment. In aspects, a method includes obtaining sensor data from a network of remote sensors measuring a physical state of a location at a time; generating context specific parameter data based on the sensor data; obtaining context data from a remote virtual reality (VR) system, wherein the context data reflects a current state of virtual content in a virtual environment displayed by the remote VR system; selecting virtual content to be displayed in the virtual environment by the remote VR system based on the context specific parameter data, the context data, and rules; and sending the virtual content to the remote VR system to be displayed to a user, wherein the virtual content reflects a state of the physical location at the time.

Physical and virtual environment synchronization

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: iteratively obtaining utilization parameter values from first to Nth edge computing environments, training one or more predictive model by machine learning using parameter values of the utilization parameter values obtained by the iteratively obtaining, wherein the training includes training a first computing environment predictive model with use of parameter values of the utilization parameters obtained from the first computing environment by the iteratively obtaining.

Computing environment predictive provisioning

A product analyzing system and method may include receiving a scan of a product, retrieving a plurality of individual data of one or more individuals, determining how the product will affect the plurality of individual data of the one or more individuals and whether the product complies with the individual data of the one or more individuals, generating an alert corresponding to the product based on the determining, and sending the alert to a user device before purchase of the product.

Method, medium, and system for analyzing products and determining alternatives using artificial intelligence

A computer-implemented method, a computer system and a computer program product enhance content submissions of support chats. The method includes acquiring a support request from a user, wherein the support request includes a content submission. The content submission is selected from a group consisting of audio data, image data and text data. The method also includes determining a classification of the support request based on a request type. The method further includes obtaining a set of requirements for the support request from a server based on the determined classification. In addition, the method includes determining that the content submission does not meet the set of requirements. Lastly, the method includes generating an augmented reality inspector to assist the user in adding content to meet the set of requirements in response to the set of requirements not being met by the content submission.

Enhanced content submissions for support chats

A computer-implemented method includes: predicting, by a computing device, devices for inclusion in an interface; generating, by the computing device, the interface including areas corresponding to the devices; detecting, by the computing device, a user selection of one of the areas of the interface; detecting, by the computing device, a hand gesture associated with the selected one of the areas; and transmitting, by the computing device, data defining the hand gesture to a respective one of the devices corresponding to the selected one of the areas, thereby causing the respective one of the devices to execute a command based on the hand gesture.

Gesture-based control of plural devices in an environment

A computer-implemented method and a computer program product for device pairing by cognitive computing. A cognitive computing system creates a knowledge corpus about the historical activities of pairing devices of a user. The cognitive computing system predicts needs of device pairing of the user, based on analysis of the historical activities. The cognitive computing system identifies devices that can be paired in a surrounding area. An augmented reality device tracks an eye direction of the user at a device, extrapolates the eye direction to create an eye focus direction of the user, obtains from the cognitive computing system an eye focus line with an arrow pointing to the device, and creates an augmented reality overlay which shows the eye focus line. The augmented reality device pairs a user currently used device and the device, upon user approval.

Device pairing by cognitive computing

A live event virtual experience is provided. Emotions of virtual spectators to a current situation occurring in a live event at a physical venue are determined from received data regarding reactions of the virtual spectators to the live event using bias detection. A historical sound clip that matches the emotions of the virtual spectators to the current situation occurring in the live event is retrieved. The historical sound clip that matches the emotions of the virtual spectators to the current situation occurring in the live event is input into a machine learning model that performs inverse bias mitigation to amplify bias and applies in-process adversarial fairness debiasing. The historical sound clip after performing the inverse bias mitigation to amplify the bias and applying the in-process adversarial fairness debiasing is converted to a standardized historical sound segment length. A sound representation is generated from the standardized historical sound segment length.

Virtual spectator experience for live events

From a first sensor in a set of sensors, a set of sensor measurements corresponding to a wearer of a garment is collected. Using a model and the set of sensor measurements, a performance deviation index corresponding to the wearer is determined, the performance deviation index corresponding to a deviation from a baseline performance level of the wearer. Responsive to the performance deviation index being above a threshold, a characteristic of the garment is altered.

Wearer physical status indication using an electronically adjustable garment

Embodiments of the invention present invention provide an approach for governing Internet of Things (IoT) device operation. Specifically, the present invention relates to a method and system for utilizing digital twin-based simulation to selectively govern capabilities of surrounding IoT devices to improve a user experience.

Selectively governing internet of things devices via digital twin-based simulation

Methods, computer program products, and systems are presented. The methods include, for instance: ascertaining a user state of a user based on user state data for a cognitive menu selection service from an eatery by use of an electronic menu system. Selection criteria to request one or more items from menus of the eatery is determined based on the user state. A request including the selection criteria is sent and the one or more items corresponding to the selection criteria is obtained and presented to the user by use of a customized virtual reality interface on a personal device of the user.

Computer program product, computer implemented method, and system for cognitive item selection with data mining

A computer-implemented method prevents physical interference between co-located users in virtual environments. The method includes identifying a first user associated with a first virtual reality (VR) system and a second user associated with a second VR system. The method also includes predicting a future movement of the first user to perform a first task in a primary virtual environment. The method further includes identifying, in response to the predicting the future movement of the first user, a first physical space needed for the first user. The method includes determining, in response to identifying the first physical space, a likely interference in a first physical location of the first user. The method also includes preventing the likely interference.

Creating working boundaries in a multi-user environment

A computer-implemented method, a computer program product, and a computer system for dynamically creating a composition reference video to support a user activity. In response to that a user selects a reference video for performing an activity, the computer system identifies a search query of a reference video. The computer system identifies personalized parameters of the user, based on a knowledge corpus user preferences of performing activities, and the search query. The computer system identifies appropriate videos and video transcripts in an online video repository and identifies textual contents through document and text search, based on a prediction about how the user is to perform the activity. The computer system draws series of images based on the textual contents. The computer system normalizes contents from the appropriate videos and the series of images and normalizes voices in the contents from the appropriate videos.

Dynamically creating a composition reference video to support a user activity

A method for providing active fall prevention assistance to a user. The method includes one or more computer processors mapping a work area where a user performs a plan of tasks. The method further includes determining a safety configuration related to the user and the task. The method further includes instructing an autonomous device to attach a first tether between a first anchor point and a safety harness secured to the user. The method further includes analyzing real-time images of the work area and the user while the user performs the task. The method further includes determining that the user is at risk of falling. The method further includes responding to determining that the user is at risk of falling by instructing the autonomous device to attach a second tether between a second anchor point and the safety harness secured to the user.

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Bethany, CT, United States of America

Todd Russell Whitman