Microsoft Technology Licensing, LLC

Jonathan Fred Keslin

Arye Gittelman

Carlos G Perez

Eugene Seichi Lin

Michelle Elena Keslin

Jonathan Paul Rosenberg

Sterling John Crockett

Berit Herstad

Petru Moldovanu

Oleg Melnychuk

Neal Myerson

Manfred Nysted Berry

Aditi Mandal

Angela Allison

Kristen Kamath

Erin Megan Riley

Xiaomei Wang

Skye Lee Pazuchanics

Reed George Pankhurst

Melissa Torres

Marius Tennoe

Cindy Liao Hartwig

Joshua T Stickler

Mary David

Reema Bhagat

Ricardo Escutia

Reed Pankhurst

Manfred Berry

Joshua Stickler

Haptic feedback for communication of relevant information is provided. Oftentimes when using content narration to read or author a document, it is desirable to notify the user of a presence of meta-information. Aspects of a haptic feedback system avoid adding data to an audio stream, and instead, use haptic feedback technology to communicate information about a presence and type of meta-information in relation to content being narrated. Device functionality can be improved by enabling communication of relevant information through non-auditory cues that are consumable by sight-impaired users. By employing haptic technologies as described herein, users are enabled to feel when certain meta-information is available, and are further enabled to interact with the meta-information to receive additional information associated with the meta-information.

Augmenting text narration with haptic feedback

Described herein is a system architecture that supports generating analytics data about files hosted by a file hosting server. Also described herein are various graphical user interfaces that are well-suited to present at least a portion of the analytics data to a user.

Computing system architecture for producing file analytics

A client computing architecture is provided that utilized minimal download and simulated page navigation features. A client computer may receive a payload comprising delta data in response to a navigation request for an electronic page. The client computer may further parse the delta data for the electronic page, update page contents for the electronic page based on the received delta data, determine whether one or more errors are associated with a page load process for the electronic page, manage a fragment identifier portion of a uniform resource locator (URL) to track a current location in a navigation of the electronic page, and intercept one or more navigation click events to ensure a minimal download strategy navigation.

Client-side minimal download and simulated page navigation features

A user may store content in a data store that includes multiple repositories corresponding to one or more categories, where each of the repositories may include one or more containers for content storage. An inference application may be configured to automatically save the content to a location within the one or more containers of the repository. For example, the inference application may be configured to detect content to be saved for a user. The inference application may analyze one or more attributes of the user and the content to infer a repository category to which the content is related, and determine a confidence level associated with the inferred repository category. In response to a determination that the confidence level is above a threshold, the content may be automatically saved to a determined location within one or more containers of a repository corresponding to the inferred repository category.

Context based inference of save location

Relevant files are determined for a user upon detecting a user action such as save, load, open, view, share, or comparable ones associated with a file. The relevancy may be determined through one or more queries based on, a number of criteria, where the queries are executed on local or remote data stores related to the user. For example, files on the local computing device of the user, files in an enterprise network associated with the user, files on a social network subscribed by the user may be evaluated for various relevancy criteria. Files determined to be relevant may be prioritized, ordered, and/or grouped for suggestion to the user and presented through a user interface of an application performing the detected action.

Relevant file identification using automated queries to disparate data storage locations

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Kirkland, WA, United States of America

Jonathan Fred Keslin