Microsoft Technology Licensing, LLC

Jamie Marconi

Rahul Sudhir Kumar

Karvell Li

David John Law

Gilbert Martin McQuillan

Gupta Garuda

Miriam Borkenhagen

Aaron Burns

James Tichenor

Chad Steven Estes

Munir Mahmood

Bede Jordan

Bharat Ahluwalia

Thomas Ernest Osborne

Ionut Ciprian Gradinaru

Gil Mcquillan

Jiong Ouyang

A gaze vector of a human subject is translated to a targeting vector that defines focus within a graphical user interface. Sensor data is received from a sensor system indicating pitch angle of a head of the human subject defining the gaze vector. The pitch angle is translated to a scaled pitch angle according to a pitch scaling function that increases amplification of the pitch angle in one or more directions as the pitch angle exceeds a start angle threshold in each of the one or more directions. The scaled pitch angle is output as a component of the targeting vector.

Head-based targeting with pitch amplification

One or more techniques and/or systems are disclosed for providing a customized service error message to a user of a service. An error encountered during a user action related to the service may be compared to one or more identified service outages to determine if the error may be attributable to any of the service outages. If the error may be caused by one or more of the identified service outages, the customized service error message can be provided, where the customized service error message comprises information about one or more of the identified service outages that cover the error. The customized service error message may be displayed to the user so that the user knows that the error is server/service side (e.g., as opposed to an issue on the user's local device), a timeframe within which the error is expected to be resolved, etc.

Service outage details in an error message

Devising a centralized usage database for tracking and recording the usage of various services by various users may be difficult for several reasons, including the volume of data generated by each user in interacting with each service. Techniques are disclosed for streamlining usage data transmitted between the services, the users, and the usage database, such as by redistributing a portion of the computational burden to the users, and by characterizing the usage data based on the role of each user in interacting with each service. Additional techniques are disclosed for caching and authenticating the usage data, and for improving the response rate in the interaction of the usage database with users in order to provide a better user experience.

Role-based user tracking in service usage

User profile data that may be spread across different service providers and that may vary across different service providers can be aggregated to provide an aggregate user profile. An aggregate user profile can be generated regardless of, among other things, varying user profile semantics, differing data formats, data item conflicts, evolving server protocols and interfaces, and updates to the number, identity, location, and type of servers upon which the service providers are maintained.

User profile aggregation

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Bellevue, WA, United States of America

Jamie Marconi