Microsoft Technology Licensing, LLC

Tangis Corporation

Tangis Corporation Microsoft Corporation

Johnson T Apacible

Eric J Horvitz

Dan Newell

James O Robarts

Kenneth H Abbott

Joshua M Freedman

Timothy S Paek

Sean P Nolan

Murugesan S Subramani

Bongshin Lee

Jeffrey Dick Jones

Vijay Varadan

Asela J Gunawardana

Anoop Gupta

Cezary Antoni Marcjan

Yutaka Suzue

Chun-Kai Wang

Brian J Guarraci

Carl Myers Kadie

Christopher M White

David William Baumert

Mark James Encarnacion

Joseph Ygona Laurino

Mark A Nikiel

Stephen David Bader

Adam Edwin Behringer

Aleksey Sinyagin

Hsiao-Lan Wang

Michelle Li

Gaurav Dinesh Kalmady

Paul Koch

Mark J Encarnación

Stephen Edward Hodges

Mehmet Iyigun

Robert L Rounthwaite

Chaitanya Dev Sareen

Kuansan Wang

Michel Pahud

Raman Kumar Sarin

Michael Gamon

Trishul A Chilimbi

Niels Thomas Ferguson

Sasa Junuzovic

Michael W Thomas

Dmytro Rudchenko

Patrick Pantel

John Helmes

Peter Bailey

Aravind Bala

Karthik Kalyanaraman

Xinying Song

Juan Dai

Hung-Chih Yang

Paul B Koch

Yuxiong He

Scott Kirk Imig

Vishwas Kulkarni

Hong Z Tan

Olatunji Ruwase

Christopher Cameron White

David William Brown

Gayathri Ravichandran Geetha

Simon D Bernstein

Feng Yan

Norman Timo Pohl

Nicolas Villar Martinez

Tae Yano

Bo-June (Paul) Hsu

Jamie Huynh

Krishnamohan R Nareddy

Yutaka Suze

Described herein is a split virtual keyboard that is displayed on a tablet (slate) computing device. The split virtual keyboard includes a first portion and a second portion, the first portion being separated from the second portion. The first portion includes a plurality of character keys that are representative at least one respective character. The tablet computing device is configured to support text generation by way of a continuous sequence of strokes over the plurality of character keys in the first portion of the split virtual keyboard.

Split virtual keyboard on a mobile computing device

In some examples, a system senses the location of a stylus or finger of a user relative to a virtual displayed object to determine when a virtual touch occurs. Upon or after such a determination, the system may generate a haptic action that indicates to the user that the virtual touch occurred. The haptic action may be located on a particular portion of a haptic device, which may be a handheld device. The particular portion may correspond to the location where the virtual displayed object was virtually touched. In this way, the user may receive physical feedback associated with the virtual touch of the virtual displayed object. In some examples, the virtual displayed object may change in response to the virtual touch, thus further providing visual and physical feedback associated with the virtual touch of the virtual displayed object to the user.

Haptic feedback for non-touch surface interaction

A performance investigation tool (PIT) is described herein for investigating the performance of a distributed processing system (DPS). The PIT operates by first receiving input information that describes a graph processing task to be executed using a plurality of computing units. The PIT then determines, based on the input information, at least one time-based performance measure that describes the performance of a DPS that is capable of performing the graphical task. More specifically, the PIT can operate in a manual mode to explore the behavior of a specified DPS, or in an automatic mode to find an optimal DPS from within a search space of candidate DPSs. A configuration system may then be used to construct a selected DPS, using the plurality of computing units. In one case, the graph processing task involves training a deep neural network model having a plurality of layers.

Tool for investigating the performance of a distributed processing system

Techniques for maintaining display of a portion of a video as the video continues to be displayed in a background are described herein. In some instances, a video may be captured at a first location and transmitted to a second location, where the video is output in real-time. As the video is displayed, a user may select a portion of the video to be paused. Based on the selection, the portion of the video may be paused while the rest of the video continues in a background. The background video may be displayed according to a different level of focus, image resolution, transparency, etc. than the portion of the video.

Video pinning

A question associated with a first user may be obtained. A search link may be determined based on content of the first question. A response may be obtained. Updates to a content graph may be initiated, including an addition of a question node and a first link indicating asking of the question by the first user, and an addition of a response node and a second link indicating an answer relationship between the question and the response, and a third link indicating answering of the question from a second user, the second user associated with the first user via a friend link indicating a friend connection relationship between nodes associated with the first user and the second user.

Mobile social interaction

Techniques for augmenting video content to enhance context of the video content are described herein. In some instances, a video may be captured at a first location and transmitted to a second location, where the video is output in real-time. A context surrounding a user that is capturing the video and/or a user that is viewing the video may be used to augment the video with additional content. For example, the techniques may process speech or other input associated with either user, a gaze associated with either user, a previous conversation for either user, an area of interest identified by either user, a level of understanding of either user, an environmental condition, and so on. Based on the processing, the techniques may determine augmentation content. The augmentation content may be displayed with the video in an overlaid manner to enhance the experience of the user viewing the video.

Shared experience with contextual augmentation

Described herein are various technologies pertaining to shapewriting. A touch-sensitive input panel comprises a plurality of keys, where each key in the plurality of keys is representative of a respective plurality of characters. A user can generate a trace over the touch-sensitive input panel, wherein the trace passes over keys desirably selected by the user. A sequence of characters, such as a word, is decoded based upon the trace, and is output to a display or a speaker.

Text entry using shapewriting on a touch-sensitive input panel

A wearable interactive device, such as a wearable identity badge is disclosed. When a user moves the device, such as to position a display (e.g., part) of the device a sensed distance at a sensed horizontal and vertical angle, the device outputs content that is based on the position. Context data also may be used in determining the content to output, as well as any other sensed data that may be available.

Interactive badge

Various technologies pertaining to provision of haptic feedback to users of computing devices with touch-sensitive displays are described. First haptic feedback is provided to assist a user in localizing a finger or thumb relative to a graphical object displayed on a touch-sensitive display, where no input data is provided to an application corresponding to the graphical object. A toggle command set forth by the user is subsequently identified; thereafter, an input gesture is received on the touch-sensitive display, and second haptic feedback is provided to aid the user in setting forth input data to the application.

Provision of haptic feedback for localization and data input

A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.

Statistical models and methods to support the personalization of applications and services via consideration of preference encodings of a community of users

An information delivery system comprises a receiver component that receives information about the movement, velocity, acceleration, and/or locations over time of a user. A computation component using a predictive model generates a probability distribution relating to one or more of when the user will next be stopped, how long the user will be stopped, how long a pattern of motion, such as walking, driving in stop and go traffic, and smooth highway motion will last, based at least in part upon signals about motion over time. The system can further comprise an alerting component that determines when to provide the user with information based at least in part upon the probability distribution over some aspect of motion or cessation of motion, and optionally the content, or tagged or inferred urgency or importance, of a message or communication.

Computing and harnessing inferences about the timing, duration, and nature of motion and cessation of motion with applications to mobile computing and communications

Described herein are technologies relating to display of a representation of an object on a display screen with visual verisimilitude to a viewer. A location of eyes of the viewer relative to a reference point on the display screen is determined. Additionally, a direction of gaze of the eyes of the viewer is determined. Based upon the location and direction of gaze of the eyes of the viewer, the representation of the object can be displayed at a scale and orientation such that it appears with visual verisimilitude to the viewer.

Object display with visual verisimilitude

A set of representations of item-page pairs of items and respective web pages that include the respective items is obtained, each representation including feature function values indicating weights associated with features of associated web pages, the features including page classification features. An annotated set of labeled training data that is annotated with salience annotation values of items for respective web pages that include the items is obtained. The salience annotation values are determined based on a soft function, by determining a first count of a total number of user queries associated with corresponding visits to the respective web pages, and determining a ratio of a second count to the first count, the second count determined as a cardinality of a subset of the corresponding visits that are associated with user queries that include the item, the subset included in the corresponding visits. Models are trained using the annotated set.

Identifying salient items in documents

Growing community of inventors

Mercer Island, WA, United States of America

Johnson T Apacible