Apple Inc.

Cascade Designs, Inc.

Thomas R Gruber

Adam John Cheyer

Harry Joseph Saddler

Christopher Dean Brigham

Didier Rene Guzzoni

Donald Walter Pitschel

Justin G Binder

Richard Donald Giuli

Alessandro Francesco Sabatelli

Daniel S Keen

Divya Nag

Stephanie M Greer

Wren Nancy Dougherty

Deborah M Lambert

Roy J Raymann

Samuel David Post

Onur E Tackin

Marcello Bastea-Forte

Dag Kittlaus

Freddy Allen Anzures

Paul D Marcos

Alexandre A Aybes

David A Carson

Edward D Voas

Brandon J Newendorp

Rohit Dasari

Jonathan H Russell

Corey J Peterson

Vineet Khosla

Ashish Garg

Carey E Radebaugh

Charles Srisuwananukorn

Jerome Rene Bellegarda

Robert A Walker

Lia T Napolitano

Yoon Kim

Bryce H Nyeggen

Stephen Olivier Lemay

Kenneth L Kocienda

Evan S Dibiase

Marco Iacono

Petr Karashchuk

Tomas A Vega Galvez

Richard L Futrell

Gregory B Novick

Emily Clark Schubert

Hong M Chen

Devang Kalidas Naik

Benjamin S Phipps

Madhusudan Chinthakunta

Gunnar Evermann

Marcos Regis Vescovi

Shaun Eric Williams

Ron C Santos

Liam Weiner

Mohammed A Tayyeb

Tomás A Vega Galvez

Pierre Karashchuk

Brian Conrad Sumner

Christopher Brian Fleizach

Devrim Varoglu

Gencer Cili

Guy Leslie Tribble

James Marson

John Bridle

Lik Harry Chen

Robert A Walker, Ii

James Giblin

Doug Jacot

Terry Breaux

Robert A Ii Walker

The intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Task flow identification based on user intent

A method for operating a voice trigger is provided. In some implementations, the method is performed at an electronic device including one or more processors and memory storing instructions for execution by the one or more processors. The method includes receiving a sound input. The sound input may correspond to a spoken word or phrase, or a portion thereof. The method includes determining whether at least a portion of the sound input corresponds to a predetermined type of sound, such as a human voice. The method includes, upon a determination that at least a portion of the sound input corresponds to the predetermined type, determining whether the sound input includes predetermined content, such as a predetermined trigger word or phrase. The method also includes, upon a determination that the sound input includes the predetermined content, initiating a speech-based service, such as a voice-based digital assistant.

Voice trigger for a digital assistant

Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.

Application integration with a digital assistant

Systems and processes for operating an intelligent automated assistant to provide extension of digital assistant services are provided. An example method includes, at an electronic device having one or more processors, receiving, from a first user, a first speech input representing a user request. The method further includes obtaining an identity of the first user; and in accordance with the user identity, providing a representation of the user request to at least one of a second electronic device or a third electronic device. The method further includes receiving, based on a determination of whether the second electronic device or the third electronic device, or both, is to provide the response to the first electronic device, the response to the user request from the second electronic device or the third electronic device. The method further includes providing a representation of the response to the first user.

Far-field extension of digital assistant services for providing a notification of an event to a user

Intelligent automated assistant

An electronic device with one or more processors and memory includes a procedure for enabling conversation persistence across two or more instances of a digital assistant. In some embodiments, the device displays a first dialogue in a first instance of a digital assistant user interface. In response to a request to display a user interface different from the digital assistant user interface, the device displays the user interface different from the digital assistant user interface. In response to a request to invoke the digital assistant, the device displays a second instance of the digital assistant user interface, including displaying a second dialogue in the second instance of the digital assistant user interface, where the first dialogue remains available for display in the second instance of the digital assistant user interface.

Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant

Systems and processes for operating an intelligent automated assistant to perform intelligent list reading are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a first user input of a first input type, the first user input including a plurality of words; displaying, on the touch-sensitive display, the plurality of words; receiving a second user input of a second input type indicating a selection of a word of the plurality of words, the second input type different than the first input type; receiving a third user input; modifying the selected word based on the third user input to provide a modified one or more words; and displaying, on the touch-sensitive display, the modified one or more words.

Multi-modal interfaces having selection disambiguation and text modification capability

An exemplary method of using a virtual assistant may include receiving an unstructured natural-language user request for a service from a virtual assistant; determining whether the user request corresponds to at least one of a plurality of plan templates accessible to the virtual assistant, based on the content of the user request and the content of the plan templates; in accordance with a determination that the user request corresponds to at least one of the plurality of plan templates, selecting one of the plurality of plan templates; and in accordance with a determination the user request fails to correspond to at least one of the plurality of plan templates, foregoing selection of a plan template; and in response to selection of one of the plan templates, beginning to respond to the user request according to the selected plan template.

Unconventional virtual assistant interactions

In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Adjusting alarms based on sleep onset latency

Systems and processes for operating an intelligent automated assistant in a messaging environment are provided. In one example process, a graphical user interface (GUI) having a plurality of previous messages between a user of the electronic device and the digital assistant can be displayed on a display. The plurality of previous messages can be presented in a conversational view. User input can be received and in response to receiving the user input, the user input can be displayed as a first message in the GUI. A contextual state of the electronic device corresponding to the displayed user input can be stored. The process can cause an action to be performed in accordance with a user intent derived from the user input. A response based on the action can be displayed as a second message in the GUI.

Intelligent automated assistant in a messaging environment

Growing community of inventors

Emerald Hills, CA, United States of America

Thomas R Gruber