Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Aaron Lamar Wilson

Uhl Albert

John S Campbell

Daniel Yancy Parish

Allison Jane Rutherford

Steve Tullis

Yi Zhang

Carlos Augusto Otero

Shangwei Fang

Samuel C Radakovitz

Benjamin C Chamberlain

Daniel C Battagin

Johnny S Campbell

Prashant Anand Shirolkar

Abhinaw Dixit

Prateek Ramesh Chandra Shah

David Gustafson

Marta Luis Burguete

Supraj Kolluri

Yeqing Wang

Saurav Kachhwaha

Nikhila Bhat

Shubhendra Agrawal

Saurabh Rajnath Chaurasia

Michelle Susan Gaseor

Edward Hein-Ho Tsang

A system may provide a voice user interface (VUI) for sending a media comment (e.g., brief clips of audio data representing speech) to a media content creator such as a podcaster, talk show, music app, etc. The system can identify a destination for the media comment based on context (e.g., an identifier corresponding to media content currently or recently output by a user device) and/or via voice dialog with the user. Content creators can invite, receive, and play users' media comments on the show, thereby increasing audience engagement. A media comment may include a request for or dedication of a song, a 'shout out' to another listener, a story/opinion, a question, a response to a poll, a contest entry, etc.

Sending media comments using a natural language interface

Technologies are described herein for displaying one or more visual indicators to assist users in identifying cells of a spreadsheet that are affected by an operation. In embodiments disclosed herein, an application is configured to receive a request to perform an operation on at least one cell of the spreadsheet. The application then identifies cells of the spreadsheet that are affected by the operation. The application then displays a visual indicator to emphasize the affected cells. By providing a timely displayed visual indicator that brings attention to affected cells, the user is able to gain a better perspective of the extent of the operation and how the operation applies to the cells of the spreadsheet.

Enhanced indicators for identifying affected data

A smart fill feature is provided, which may be utilized to provide suggestions to a user and to prepopulate fill results in a spreadsheet. Characteristics associated with a set of data may be recognized and used to help determine fill results Suggestions may be determined from internal and or/external data sources, and may use contextual information in a data set to determine what a user may be trying to accomplish. External data sources may include one or more Internet data sources or internal corporate databases, providing a large amount of data from which to search for potential fill results. A split column command may be used to split a column into two or more columns. Data may be split between columns or combined by various methods, which may include, by example, by direct manipulation via tokens, or via a slider UI.

Method and system for providing autofill of data

Conversion of data ranges to table objects in an electronic spreadsheet document is provided. When an electronic spreadsheet document is being utilized, data ranges may be automatically converted to tables to allow the user to enjoy the full benefits of the table properties and functionalities. When a data range is automatically converted to a table object, a user will be given an opportunity to revert the table object back to the data range from which it was converted. Instead of automatic conversion, a suggestion may be provided to a user before a data range is converted to a table object. If the user accepts the suggestion, then the data range may be automatically converted to a table object.

Conversion of data ranges to table objects

Suggestions are automatically displayed in response to an event. For example, suggestions may be automatically displayed in response to a receiving an indication from a user to enter content (e.g. receiving a selection of a content entry area). The suggestions may be displayed before a user enters any characters and before an input device is displayed and/or used (e.g. keyboard, Software Input Panel (SIP), and the like. Suggestions may also be automatically displayed in response to detecting a pause while a user is entering content. For example, when a user is actively entering content, suggestions are not automatically displayed but when a user pauses a predetermined amount while entering content, suggestions are automatically displayed. The suggestions may be determined from content that may be seen on a display and/or hidden from view (e.g. hidden rows in a spreadsheet).

Automatically displaying suggestions for entry

Smart fill

Technologies are described herein for interpreting character arrangements. An image including an arrangement of characters may be received or captured by a computing device. Techniques described herein generate data representative of the characters. Characteristics and other information interpreted from the image may be processed to determine a data type. The data representative of the characters may be arranged into a data structure based on the data type, an arrangement type and/or other information interpreted from the image. The data type may indicate one or more attributes of the arranged data such as a format, font, date, language, or currency. The data type may also indicate how data is used in a process, equation or calculation. In addition, the data type may identify an anchor that may be used to merge data generated from the image with other data generated from another image.

Enhanced interpretation of character arrangements

An image including a chart displaying graphical elements may be received or captured by a computing device. The graphical elements, for example, may be bars of a bar chart, or components of a pie chart. Techniques described herein may determine values for the graphical elements. Techniques described herein may also analyze the arrangement of the graphical elements and other contextual information to determine a chart type. The generated values may be arranged into an editable chart and/or an editable data structure based on the chart type. Touch-enabled gestures may be applied to the data structure to allow a user to modify, save or otherwise process the data structure.

Enhanced recognition of charted data

A data visualization application transforms visualized data through visual analytics. A detected gesture and associated visualization are processed through a visual analytics engine of the application. The visual analytics engine determines attributes for a new visualization based on the contextual information of the gesture and the visualization. The analytics engine dynamically builds an action based on the attributes. Execution of the action generates the new visualization which is rendered for presentation.

Transforming visualized data through visual analytics based on interactivity

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Seattle, WA, United States of America

Aaron Lamar Wilson