At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Hyundai Motor Company

Kia Corporation

Nuance Communications, Inc.

Xandr Inc.

Columbia University

The Hong Kong University of Science and Technology

Shopify Inc.

Simplisafe, Inc.

At&t Global Network Services Belgium Luxembourg Sprl

Eric Martin Zavesky

David Crawford Gibbon

James H Pratt

Zhu Liu

Lee Begeja

Behzad Shahraray

Bernard S Renger

Tan Xu

Nigel Bradley

Raghuraman Gopalan

Robert A Koch

Timothy Innes

Ari Craine

Jason Decuir

Yupeng Jia

Amy Ruth Reibman

Yadong Mu

Paul Triantafyllou

Andrea Basso

Robert Gratz

Rashmi Palamadai

Jean-Francois Paiement

Nikhil Shreerang Marathe

Richard Palazzo

Jianxiong Dong

Zhi Cui

Gregory Wesley Edwards

Miranda Huet

Donald Perciful

Terrel Lecesne

James Jackson

Bo Han

John Oetting

Robert Torrence Moton, Jr

Adrianne Binh Luu

Ginger Li Chien

Brian M Novack

Michael Gonzales

Sumit Kumar

Mohammed Abdel-Wahab

Bhumit Patel

Martin Patrick McEnroe

Wen-Ling Hsu

Oliver Spatscheck

Subhabrata Majumdar

Patrick Guy Haffner

Ann K Syrdal

Robert Dailey

Taniya Mishra

Christopher Volinsky

Sumit Chopra

Ilija Zeljkovic

Joshua Whitney

Seungjoon Lee

Benjamin J Stern

Mark Stockert

Moo-Ryong Ra

Deirdre Paul

Emiliano Miluzzo

Samuel Seljan

Pamela Stuckman

Linda Baughman

Ashutosh Sanzgiri

William Knotts

Qiong Wu

Rhonda Green

Aritra Guha

Gustavo De Los Reyes

Andrea Giuseppe Forte

Juan A Garay

Evgene Vahlis

Ann Eileen Skudlark

Cheuk Yiu Ip

Eric Petajan

Lien K Tran

Zhengyi Zhou

Yizhe Zhang

James Klosowski

Molly Hutsler

Alexander Ruditsky

Huanle Zhang

Barkha Pathik Patel

Timothy Henderson

Allyson King

Nicholas Cassioppi

Gavin Bedell

Vijay Gopalakrishnan

Brian Scott Amento

Shih-Fu Chang

Dimitrios Dimitriadis

Kermit Hal Purdy

Simon D Byers

Jeffrey Stein

Pan Hui

Roger Drew Wickes

Wiley C Wilkins

Russell Fischer

Christophe Closset

Wenxiao Zhang

Louis E Alexander

The described technology is generally directed towards emotion detection and translation for electronic communications. An emotional state of a first communication participant can be detected, e.g., through face recognition, biometric information, and/or communication content analysis. The emotional state can be encoded in metadata that can accompany the communication content. The metadata can be translated into one or more embellishments that represent the emotional state, and the embellishments can be inserted into the communication content. The embellished communication content can then be delivered to a second communication participant.

Emotion detection and translation for electronic communications

Methods, computer-readable media, and systems for enhancing food service operations using Internet of Things-enabled dinnerware are disclosed. One method performed by a processing system including at least one processor includes obtaining data about a food item that is being prepared for a consumer, forwarding the data about the food item to an internet of things-enabled item of dinnerware, receiving, from the internet of things-enabled item of dinnerware, data about consumption of the food item by the consumer, and providing feedback to an endpoint device of a person who prepared the food item for presentation to the person who prepared the food item, in response to the data about the consumption of the food item by the consumer.

Internet of things-enabled dinnerware to enhance food service operations

Creating scent models and using scent models in cross-reality environments can include capturing experience data identifying a scent detected and a context in which the scent was detected. The experience data can be provided to a scent modeling service to generate a scent model that can represent perceived scents and perceived scent intensities for a user. The scent model can be used to generate cross-reality session data to be used in a cross-reality session presented by a cross-reality device. The cross-reality device can include a scent generator and can generate the cross-reality session using data obtained from the user device. The cross-reality device can generate a further scent during the cross-reality session based on the scent model.

Creating scent models and using scent models in cross-reality environments

The technology described herein is generally directed towards determining that a user is passively attending a meeting via a connected device, collecting data created during the meeting, and outputting information based on the collected data for the user to monitor the meeting. Join criteria can be associated with passive meeting attendee, and if the collected meeting data satisfies the join criteria, the attendee can transition to an active attendee. Keyword data can be used to represent information relevant to a meeting attendee. Based on collected and monitored meeting data presented during the meeting and the keyword data, the meeting can be determined to have reached a relevance/pertinence level by which action is taken to change the user from a passive attendee to an active attendee. This can include a transition period that allows a user to catch up on previous meeting information before becoming an active attendee.

Virtual meeting management

Concepts and technologies disclosed herein are directed to automated optimization of events by engagement and format. According to one aspect disclosed herein, an event management system can create an event for a specified topic based upon input provided, at least in part, by an event creator. The input can identify initial event content, a plurality of event attendees, a location for the event, and an event presenter. The event management system can receive a selection of a desired audience for the event. The event management system can accept the initial event content to be presented during the event and can determine a time for the event. The event management system can perform engagement sampling during the event. The event management system can utilize the selection, the time, and the engagement sampling to optimize the event. The event management system can determine a follow-up action to be performed after the event.

Automated optimization of events by engagement and format

Concepts and technologies disclosed herein are directed to machine learning model understanding as-a-service. According to one aspect of the concepts and technologies disclosed herein, a model understanding as-a-service system can receive, from a user system, a service request that includes a machine learning model created for a user associated with the user system. The model understanding as-a-service system can conduct an analysis of the machine learning model in accordance with the service request. The model understanding as-a-service system can compile, for the user, results of the analysis of the machine learning model in accordance with the service request. The model understanding as-a-service system can create a service response that includes the results of the analysis. The model understanding as-a-service system can provide the service response to the user system.

Machine learning model understanding as-a-service

Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving a first request from a first user of a virtual reality (VR) system to enhance a presentation of a portion a VR presentation of a VR environment provided by the VR system to the first user; receiving first data describing a field of view of the first user within the VR environment; receiving second data describing a location of one or more objects within the VR environment; determining a first object of the one or more objects that has a highest score of an attention score; and enhancing the VR presentation of the object in the field of view of the first user. Other embodiments are disclosed.

System and method for contextual content prominence in virtual reality spaces

The disclosed technology is directed towards detection of personal threats to a user based on information known to a user's device and other information. A device with a personal threat application program and server communicate information, including data describing the user's current physical situation, e.g., including current location. The server and/or application program obtain data describing environmental conditions around the user's location, e.g., corresponding to a defined personal zone. The personal zone size automatically can vary based on current factors. Based on the situation and environmental data reaching a threshold threat level, a potential threat to the user can be predicted and the prediction, used to take some action, such as to send an alert to the user and/or otherwise output a warning signal. Historical data such as statistics related to the user's current location can be accessed to assist with the prediction.

Predictive personal threat levels via user device

A processing system including at least one processor may detect at least one dark zone in a vicinity of a user, determine at least one lighting feature for an illumination of the at least one dark zone in accordance with a user profile of the user, identify at least one light source to provide the illumination of the at least one dark area in accordance with the at least one lighting feature that is determined, and transmit an instruction to the at least one light source to provide the illumination of the at least one dark zone in accordance with the at least one lighting feature that is determined.

Detection and illumination of dark zones via collaborative lighting

Aspects of the subject disclosure may include, for example, obtaining contextual information associated with a user, wherein the user is engaged in an immersive environment using a target user device, and wherein the contextual information comprises user profile data, data regarding a location of the user, data regarding one or more inputs provided by the user, or a combination thereof, receiving data regarding a metaverse object in the immersive environment, determining a relevance of the metaverse object to the user based on the contextual information and the data regarding the metaverse object, responsive to the determining the relevance of the metaverse object to the user, generating a personalized recommendation or review of the metaverse object for the user, and causing the personalized recommendation or review to be provided to the user in the immersive environment for user consumption. Other embodiments are disclosed.

Method and system for personalizing metaverse object recommendations or reviews

Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: receiving a request from a first user of an electronic event to invoke a surrogate to control an avatar of the first user; retrieving data describing characteristics of the surrogate; and altering a presentation of the avatar for the first user made to a second user, wherein the data describing characteristics of the surrogate is used to alter the presentation of the avatar. Other embodiments are disclosed.

System and method for surrogate gameplay

The technologies described herein are generally directed to using a transmission profile to provide availability and security options for communicating data in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include identifying a transmission profile for a data item for transmission to a destination node, with the transmission profile including transmission parameters having an availability importance parameter applicable to an availability of the data item by the destination node and a security importance parameter applicable to a security applicable to transmission. The method can further include segmenting the data item into data segments comprising a first data segment and a second data segment. Further, the method can include, based on the transmission profile, selecting a first network route and a second network route for a transmission of the data segments.

Using a transmission profile to provide availability and security options for communicating data

A device, computer-readable medium, and method for adaptive simulation of celebrity and legacy avatars in extended reality environments is disclosed. In one example, a method performed by a processing system including at least one processor includes acquiring preferences from a user with respect to a virtual interaction, matching the preferences to an individual for whom an avatar is available, rendering an extended reality environment in which the virtual interaction will occur, rendering the avatar in the extended reality environment, receiving an input from the user, extracting a meaning from the input, and controlling the avatar to present an output that is responsive to the meaning, wherein the output is generated dynamically using at least one of: an image of the individual, an audio of the individual, or biographical data of the individual.

Adaptive simulation of celebrity and legacy avatars

Aspects of the subject disclosure may include, for example, a device including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: receiving a request for a proxy player to continue gameplay on behalf of a player of a game; retrieving data describing characteristics of historical gameplay of the player; and continuing the gameplay by the proxy player, wherein the proxy player performs actions that emulate the player based on the data describing the characteristics of the historical gameplay of the player. Other embodiments are disclosed.

System and method for continuous proxy gameplay

Facilitating avatar modifications for learning and other videotelephony sessions in advanced networks is provided herein. Operations of a system include evaluating a recorded interaction associated with a first entity during consumption of a first portion of a video conference determined to include the first entity. The operations also can include transforming an actual representation of the first entity in the recorded interaction to an avatar representation, resulting in an edited interaction of the first entity. Further, the operations can include outputting the edited interaction of the first entity for consumption of a second portion of the video conference by rendering the edited interaction for a second entity.

Facilitating avatar modifications for learning and other videotelephony sessions in advanced networks

Growing community of inventors

New York, NY, United States of America

Eric Martin Zavesky