Microsoft Technology Licensing, LLC

Talon Edward Ireland

Jonathan Reed Harris

Ashok Kuppusamy

Jaclyn Carley Knapp

Jesse Daniel Eskes Rusak

Richard Leigh Mains

Michael Francis Palermiti, Ii

Chad Steven Estes

Jayant Sivarama Krishnamurthy

Allison Anne O'Mahony

Harris Syed

David Ernesto Heekin Burkett

Diego Hernan Carlomagno

Jose Miguel Rady Allende

Andrew Paul McGovern

Viktoriya Taranov

Tudor Buzasu Klein

Sergiy Gavrylenko

Melissa Nicole Lim

Nirav Kamdar

Ravikiran Arun Aranke

Catherine Lynn Maritan

Andrew Paul Mcgovern

Sasanka Madiraju

Ayman Farouq Mohammad Almadhoun

Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. Such heavy integration also allows particular embodiments to support multi-modal input from a user for a single conversational interaction. In this way, client application user interface interactions, such as clicks, touch gestures, or text inputs are executed alternative or in addition to the voice utterances.

Voice assistant-enabled client application with user view context and multi-modal input support

Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to both perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. For example, some embodiments can automatically and intelligently cause a switch to a page the user needs and automatically and intelligently cause a population of particular fields of the page the user needs based on a user view context and the voice utterance.

Voice assistant-enabled client application with user view context

Methods and systems are provided for generating personalized greetings for presentation by a personal digital assistant on a client device. An indication is received from the client device associated with the user that the personal digital assistant has been launched on the client device. User-specific information and contextual information is retrieved by querying a user profile database and one or more services. A personalized greeting engine utilizes the user-specific information, such as user inferences and interests, and the contextual information to generate the personalized greetings for presentation by the digital assistant on the client device.

Providing personalized greetings on a digital assistant

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Kirkland, WA, United States of America

Talon Edward Ireland