Microsoft Technology Licensing, LLC

Other

Ryen William White

Eric J Horvitz

Paul Nathan Bennett

Ahmed Hassan Awadallah

Robert Alexander Sim

Robert L Rounthwaite

Elnaz Nouri

Susan Theresa Dumais

Nikrouz Ghotbi

Adam Fourney

Russell Allen Herring, Jr

Eric David Brill

Nirupama Chandrasekaran

Jaime Brooks Teevan

Peter Bailey

Adish Singla

Christopher J C Burges

Silviu-Petru Cucerzan

Matthew R Richardson

Kevyn Breca Collins-Thompson

Omar Shaya

Allison P Heath

Yi-Min Wang

Yu Wang

Patrick Pantel

Qi Guo

Nikhil Dandekar

Mark James Encarnacion

Zijian Zheng

Fernando David Diaz

An Yan

Bernd Ingo Plontsch

Sagi Hilleli

Scott Kirk Imig

Vanessa Graham Murdock

Tomer Hermelin

Sebastian De La Chica

Miaosen Wang

Yu Su

Xiao Huang

Mudit Jain

Adi Gerzi Rosenthal

Jeff Huang

Xin Rong

David Graus

Mathieu Etienne Jacques Audouin

Marcello Mendes Hasegawa

David Alexander Sontag

Andrew David Wilson

Steven Mark Drucker

Navendu Jain

Michael Gamon

Hugh Evan Williams

Kris Kuppuswamy Ganjam

Elad Yom-Tov

Daniel Morris

Kenneth Ward Church

Jessica Lundin

Bernhard S J Kohlmeier

Gregg Robert Wygonik

Nicholas Eric Craswell

Scott Joseph Counts

Christopher J Burges

Michael Maxwell Cameron

Milad Shokouhi

Semiha Ece Kamar Eden

Richard Lloyd Hughes

Ajoy Nandi

Mikhail Bilenko

Ovidiu Dan

Prabhdeep Singh

Anantha Deepthi Uppala

Srivatsan Laxman

Peter Richard Bailey

Gerald Haslhofer

Xiaohan Shi

Kevin Michael Carter

Ambarish Chitnis

Jason T Creighton

Lin Tang

Pavel Dmitriev

Timothy Edgar

Shantanu Sharma

Emily Blythe Pitler

Vikram Tankasali

Munmun De Choudhury

Rajanikanth Ageeru

David A Sontag

Jean-Marie Larchevêque

Samuel D Paye, Jr

Niyathi Nidhi Chakrapani

James Stephen Woffinden-Luey

Girish Sthanu Nathan

Hosein Azarbonyad

Sean Edward Andrist

Hua He

Yongli Ren

Jonathan Liono

Tim Althoff

Andre Wilson Brotto Furtado

An intelligent agent may assume a ghost presence in a meeting on behalf of a non-participant, monitor data communications between participants of the meeting, and identify appropriate triggers or events relating to the non-participant. For example, the agent may detect questions directed at the non-participant or that the non-participant has the knowledge to answer. The non-participant may be auto-summoned with respect to the meeting when the events relating to the non-participant are identified. The auto-summoning may be performed by communicating information about identified event to the non-participant, for example in real-time. The communication about the identified event may be transmitted over any of a variety of communication channels or modalities, including instant message chat, SMS, phone call, establishing a video call, or pager.

Intelligent agent for auto-summoning to meetings

Generally discussed herein are devices, systems, and methods for contextual messaging in a conference. A method can include receiving, by a first user interface, data indicating content of a message, a recipient of the message, and a condition that, when satisfied during the conference, causes the message to be visually displayed during the audiovisual conference, while the conference is being held via an audiovisual conference application, monitoring user contextual data for whether the condition is satisfied, responsive to the condition being satisfied, augmenting audiovisual conference data from the audiovisual conference application to include the message resulting in augmented audiovisual data, and providing, to the recipient on a second user interface of the audiovisual conference application, a view of the augmented audiovisual data.

Contextual messaging in video conference

A device includes a memory that stores a prefetching model. A control module receives a content page including one or more links each associated with selectable content and collects data associated with the content page. The collected data includes at least one of first data indicative of respective relationships between each of the links and a viewport of the device and second data indicative of characteristics of the viewport. The control module further assigns, using the prefetching model, respective scores to each of the links based on the collected data, and selectively generates, based on the assigned scores, a request to prefetch the selectable content associated with at least one of the links.

Prefetching using dynamic user model to reduce latency

Generally discussed herein are devices, systems, and methods for eye contact assistance in a video conference. A method can include determining a location of the web camera relative to a display, providing a user interface of the video conference on the display, and providing, on the user interface, a graphic display of information at pixels of the display that are most proximate the location.

Eye contact assistance in video conference

Multi-modal search systems with improved search request routing are provided. A device can include a module that identifies, based on content of a search request, provider criterion that indicates factors to be considered in making a routing decision, a criterion processor that determines, based on the provider criterion, a routing decision indicating whether to route the search request to a search engine or a chat engine based, at least in part, respective compute costs of servicing the search request using the search engine and the chat engine, respectively, and respective accuracies of responses provided responsive to the search request using the search engine and the chat engine, respectively, and an output port coupled to receive the search request and to provide the search request to the search engine or the chat engine in accord with the routing decision.

Multi-modal search request router

Aspects of the present disclosure relate to engagement-based communication session management. In examples, an interaction intent metric is generated for a user according to a variety of factors relating to the user (e.g., the semantic content and tone of the user's speech, a direction of the user's gaze, and historical user characteristics) and the meeting (e.g., whether the user's name was mentioned by another communication participant or whether another communication participant is soliciting input), among other examples. Accordingly, if a positive interaction intent is identified and the user is currently muted, an action can be recommended to address the mismatch between the positive interaction intent and the muted status of the user. Similarly, if a negative interaction intent is identified and the user is currently unmuted, an action can be performed to address the mismatch between the negative interaction intent and the unmuted status of the user.

Engagement-based communication session management

The present disclosure relates to systems and methods for an interactive, intelligent hub built around the completion of a task. This hub brings together resources, information, suggested steps, and other automated assistance to facilitate the completion of the task. AI-based assistance may indicate which steps can be completed by automated processes, and dispatch those processes, or suggest resources to assist in the completion of other steps. The hub displays the current status of the task, and lives until the completion of the task, or abandonment by the user.

Semi-autonomous intelligent task hub

Systems and methods are provided for automatically controlling a participant indication request based on a context of a meeting. The controlling of the participant indication request includes automatic lowering of a raised hand. A context determiner determines the context of the meeting based on meeting data including video, audio, background acoustic data, and chat messaging. The context determiner uses a global participant indication model for determining a context that is in commonly used among participants of the meeting. An individual participant indication model captures participant-specific rules of determining a context. A meeting state manager determines a meeting state based on the context. The meeting state includes a host presentation, a participant presentation, a conversation, and a polling. A participant indication controller automatically lowers the raised hand based on a combination of the determined context and the meeting state.

Automatically controlling participant indication request for a virtual meeting

Recommending one or more relevant skills to a user that are appropriate for the user's current context is provided. A machine learning contextual skills model is trained on data associated with skills that are invoked by the particular user and by various users and context data that defines characteristics of the context of the users, the users' computing devices, and the users' environments in association with the invoked skills. Responsive to a trigger event associated with the user and a computing device, current context data and user data is collected and passed to the contextual skills system. The contextual skills model is applied to the collected data and generates a ranked list of skills. One or more top-ranking skills are selected and provided to the user as one or more skill recommendations that are determined to be relevant to the user and relevant to the user's current context.

Contextual skills discovery

In examples, a set of actions performed by a user is identified as an action sequence. If user performance of the same action sequence or similar action sequences exceeds a predetermined threshold, a recommendation to create a macro may be generated. The macro may have one or more associated triggers, such that it may be invoked using voice input or via a user interface, among other examples. A macro may have an associated context in which it applies. In some instances, a trigger used to invoke the macro comprises an indication as to such a context. For example, the macro may be invoked in the context of a document, such that one or more document parts are processed accordingly. As another example, the macro may be invoked to process multiple documents, as may be related in subject matter or associated with the same application.

Computer-generated macros and voice invocation techniques

A system and method to provide computer support for a meeting of invitees comprises accessing one or more sensory data streams providing digitized sensory data responsive to an activity of one or more of the invitees during the meeting, the one or more sensory data streams including at least one audio stream. The method also comprises subjecting the at least one audio stream to phonetic and situational computer modeling to recognize a sequence of words in the audio stream and to assign each word to an invitee, subjecting the sequence of words to semantic computer modeling to recognize a sequence of directives in the sequence of words, and releasing one or more output data streams based on the sequence of directives, the one or more output data streams including one or more notifications.

Computer support for meetings

Biases in search and retrieval (i.e., situations where searchers seek or are presented with information that significantly deviates from the truth) may be detected by comparison to one or more authoritative sources. Once bias or potential bias is detected, techniques may be applied to indicate and/or compensate for the bias. Such techniques may allow users to more easily assess the veracity of search results, and increase the chances that users will locate accurate answers to their questions.

Compensating for bias in search results

The present disclosure provides systems and methods for user interaction and task completion using multiple devices. A set of devices may be used to perform a task, such that different devices may perform different steps of the task. A device management service may update state information at each device of the set, thereby enabling a user to interact with any of the computing devices to perform the task. A device management service may also automatically determine which device should be used by the user, based on task or step requirements, device characteristics, and device capabilities, among other examples. Thus, rather than being required to continue a task on the same device (even when the device is not well-suited for the current step or task), the user is provided with the option to use and, in some instances, is automatically transitioned to use, different devices within the set.

User interaction and task management using multiple devices

Growing community of inventors

Woodinville, WA, United States of America

Ryen William White