Microsoft Technology Licensing, LLC

Michael Gordon Hale

Xiaoming Wang

Stephen White

Samuel Terrence Trim

Priyatham Reddy Allala

Neeta Vinod Atal

Patricia Anne Donnellan

Jason Drew Black

Eliyohu Aron Inger

Keying Li

Praneeth Reddy Vatti

Yan Guo

Senthil Vel Gunasekaran

Nagarjuna Aravapalli

Daniel Joseph McCulloch

Ben J Sugden

Todd Omotani

Adam Benjamin Smith-Kipnis

Jonathan Plumb

Marcus Tanner

Abby Lin Lee

Jeff Cole

Hendrik Mark Langerak

Jeff Sutherland

Joseph Van Den Heuvel

Greg Alt

Ken Ouellette

Alexandre David

It can be difficult to manage assets, particularly when determining ownership of assets. Systems and methods for facilitating identification of ownership of an asset include identifying an asset (e.g., an item capable of being owned), identifying one or more actors (e.g., an entity capable of owning an asset), and identifying interactions between the asset and each actor. The systems and methods additionally apply a decay factor to the identified interactions to cause a reduction in the significance of the identified interactions between the asset and each actor and produce an asset ownership score for each actor based on the decay-modified interactions. The resulting asset ownership score for each actor is provided to an entity in a fashion that allows the entity to identify a comparative likelihood that each actor is a potential owner of the asset.

Method of discovering and modeling actor and asset relationships across a cloud ecosystem

Displaying a representation of an asset. The method includes an act of displaying a different representation for at least a first actor of the one or more actors. An asset being an item capable of being owned, and actors being entities capable of owning an asset. The method also includes displaying the representation of the asset and displaying the different representation for the first actor such that a likelihood of the first actor owning the asset can be evaluated based on the representation and the different representation.

Modeling actor and asset relationships

Methods for managing content within an interactive augmented reality environment are described. An augmented reality environment may be provided to an end user of a head-mounted display device (HMD) in which content (e.g., webpages) may be displayed to the end user using one or more curved slates that are positioned on a virtual cylinder that appears body-locked to the end user. The virtual cylinder may be located around the end user with the end user positioned in the middle of the virtual cylinder such that the one or more curved slates appear to be displayed at the same distance from the end user. The position and size of each of the one or more curved slates may be controlled by the end user using head gestures and a virtual pointer projected onto the virtual cylinder.

Management of content in a 3D holographic environment

Embodiments that relate to converting audio inputs from an environment into text are disclosed. For example, in one disclosed embodiment a speech conversion program receives audio inputs from a microphone array of a head-mounted display device. Image data is captured from the environment, and one or more possible faces are detected from image data. Eye-tracking data is used to determine a target face on which a user is focused. A beamforming technique is applied to at least a portion of the audio inputs to identify target audio inputs that are associated with the target face. The target audio inputs are converted into text that is displayed via a transparent display of the head-mounted display device.

Speech to text conversion

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Redmond, WA, United States of America

Michael Gordon Hale