Microsoft Technology Licensing, LLC

Arnavi Mahendra Chheda

Justin J Chando

Paul Donnelly Conlin

Megan Christin Buzzas

Cassandra Nicole Bub

Cassio Martins Antonio

Ahamad Rifaadh Saif

Jonathan Seth Kaufthal

Maya Rodrig

Humberto Lezama Guadarrama

Yue Ma

Brian Daniel Meersma

Kyle Patrick Curlett

Sathish Kumar Venkat Rangam

Ankur Lal

Andrei Zenkovitch

Leeviana Peng Gray

Barnabas Whitfield

William Dean Saulnier

Yan Zhong Leigh

Cosmin Catrinescu

Betsy Yu-pui McIntyre

Zohaib Rauf

Jiuqing Song

System and methods are directed to displaying interactive content with static content in a user interface of an application. More specifically, it may be determined that an interactive component is to be rendered in a user interface of a first application, where the user interface includes static content. In response to determining that the interactive component is it be rendered, at least one linking parameter may be determined for linking the interactive component with interactive content stored in a shared storage. Based on the at least one linking parameter, the interactive component may be rendered in the user interface of the first application in-line with the static content of the user interface of the first application. Changes to the interactive content made by a second user of a second application may then be updated within the interactive component rendered in the user interface of the first application.

Interactive components for user collaboration

In the present disclosure, a collaborative workspace fosters content creation between users in a synchronous and/or asynchronous manner by enabling automatic generation and management of collaborative media objects that automatically combine content from a plurality of users into a single media object. This is extremely beneficial in technical scenarios where users are creating projects, assignments, presentations, etc., by removing the need for users to manually stitch together and combine content to create a final product. For example, the collaborative workspace is adapted for a video discussion application/service, where users create one or more video clips (e.g., video feeds, live video feeds) in response to a posted topic. In at least one instance, a collaborative workspace for a video discussion application/service may be integrated to display within another type of application/service. However, the present disclosure is extensible to work with any type of application/service and any content type.

Collaborative media object generation and presentation in improved collaborative workspace

In the present disclosure, a collaborative workspace fosters content creation between users in a synchronous and/or asynchronous manner by enabling automatic generation and management of collaborative media objects that automatically combine content from a plurality of users into a single media object. To improve processing efficiency and user productivity, the present disclosure further provides processing that applies trained artificial intelligence (AI) processing that is adapted to automatically generate representations of data insights for management of a collaborative media object within the collaborative workspace. Data insights are generated pertaining to feature management of an exemplary application/service (e.g., video discussion application/service) including features for generating and managing a collaborative media object. Signal data associated with users of a collaborative session (e.g., within a collaborative workspace) is detected and analyzed. Contextually relevant data insights are generated, where representations of data insights are provided for rendering through the collaborative workspace (e.g., GUI representation thereof).

Generation and management of data insights to aid collaborative media object generation within a collaborative workspace

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Kirkland, WA, United States of America

Arnavi Mahendra Chheda