Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Kynan Dylan Antos

Jenny Toi Wah Lam

Nedim Fresko

Robert Vaughan Williams

Michael Wendling

James Martin Conway

Ankur Narendra Bhai Vachhani

Mark Yoshitake

Blade Imsande McRae

Mustafa Husain

Timothy Thomas Gray

Cyra S Richardson

Ryan Long

Bradley McNally

Jonathan Mongan

Sahil Ahmed Yousif Anand

Jennifer Lynne Cotton

Jeremy Richard Hill

Shirin Saleem

Jonhenry A Righter

Kelly James Vanee

Michal Grzegorz Kurpanik

Joe Virgil Fernandez

Kavya Ravikumar

Sarveshwar Nigam

Systems, methods, and computer-readable media are disclosed for systems and methods for voice-based device operation mode management. Example methods may include determining that a device is coupled to an accessory device, and determining that being coupled to the accessory device triggers activation of a first operation mode at the device. The first operation mode presents digital content at the display in a user interface having a first content density that is less than a second content density of a second operation mode. Example methods may include causing the device to activate the first operation mode, receiving first voice data indicative of a request to change the device operation mode to the second operation mode, and causing the device to activate the second operation mode.

Voice-based device operation mode management

Input-based device operation mode management

Systems, methods, and computer-readable media are disclosed for systems and methods for device agnostic user interface generation. Example methods include receiving a request for content from a device, determining first data representing a first device characteristic of the device, and determining an intended viewing distance value associated with the first data. Some methods include determining, using the intended viewing distance value, a first value for the device, the first value representing a baseline density-independent number of pixels, determining first content using the first value, and sending the first content to the device, where the first content is to be rendered at the device.

Device agnostic user interface generation

Systems, methods, and computer-readable media are disclosed for systems and methods for selective requests for authentication for voice-based launching of applications. Example methods may include receiving first audio data representing an utterance, determining that the device is in a first operating mode when the audio data was received, determining that the device is in a locked state when the audio data is received, and receiving, from a remote system, a command to display information based at least on part on the audio data. Certain methods may include receiving an indication that the utterance was spoken by a user authorized to access the information while in the first operating mode and the locked state, and causing presentation of the information by the device.

Selective requests for authentication for voice-based launching of applications

Systems, methods, and computer-readable media are disclosed for systems and methods for dynamic user interface type selection. Example methods include receiving a request for content from a first device, determining first data representing a first device input type at the first device, determining an intended viewing distance value associated with the first device input type, and determining, using the intended viewing distance value, a first value for the first device, the first value representing a baseline density-independent number of pixels. Methods may include determining first content using the first value, and sending the first content to the first device, wherein the first content is to be rendered at the first device.

Device agnostic user interface generation based on device input type

Systems, methods, and computer-readable media are disclosed for systems and methods for voice-forward graphical user interface mode management. Example methods include determining that a device is coupled to an accessory device, determining that being coupled to the accessory device causes the device to deactivate a first operating mode and activate a second operating mode, where the second operating mode has a lower content density than the first operating mode, and determining that an application setting of an application executing on the device is causing the device to remain in the first operating mode. Example methods may include determining that a new value is associated with the application setting, and causing the device to activate the second operating mode.

Voice-forward graphical user interface mode management

A dock device connects participating devices such as a tablet device and an audio activated device, allowing them to operate as a single device. These participating devices may be associated with different accounts, each account being associated with particular 'speechlets' or data processing functions. A natural language understanding (NLU) system uses NLU models to process text obtained from an automatic speech recognition (ASR) system to determine a set of possible intents. A second set of possible intents may then be generated that is limited to those possible intents that correspond to the speechlets associated with the docked device. The intents within the second set of possible intents are ranked, and the highest ranked intent may be deemed to be the intent of the user. Command data corresponding to the highest ranked intent may be generated and used to perform the action associated with that intent.

Natural language understanding with affiliated devices

A method for providing customized help, the method comprising: retrieving a first help content from a first help datastore in response to a help request received from a user, the first help datastore storing a plurality of help content each associated with a respective help identifier; retrieving a second help content from a second help datastore, the second help datastore storing a plurality of help content each associated with a respective help identifier, the second help content having the same help identifier as the first help content; generating a help presentation file comprising the first help content and the second help content; wherein one the first help datastore or the second help datastore is editable by the user and the other help datastore is non-editable by the user.

Customizing help content

A help system tracks user search queries and builds a database by matching the user query to the user's selected result from the search system. As the user repeatedly searches, the user's terminology may be associated with particular search keywords. A relevance factor may be computed using the database for future searches. In some cases, modifications to a user interface may be made by replacing the user's terminology with a function in the user interface, or by highlighting a user's terminology on the user interface using a floating box such as a tool tip.

Adaptive help system and user interface

Growing community of inventors

Seattle, WA, United States of America

Kynan Dylan Antos