Apple Inc.

Google Inc.

Robert A Walker

Ming Lei

Chao Cai

Japjit Tulsi

Cameron Michael Tangney

Eric W Ewald

Ashish Garg

Zhimin He

Thomas R Gruber

Brandon J Newendorp

Rohit Dasari

Jonathan H Russell

Richard Donald Giuli

Corey J Peterson

Sissie Ling-Ie Hsiao

Vineet Khosla

Carey E Radebaugh

Trungtin Tran

Nikrouz Ghotbi

Harry Joseph Saddler

Matthias Paulik

Lun Cui

Jared A Crawford

Rushin N Shah

Matthew S Seigel

Marek Rastislav Telgarsky

Shweta Grampurohit

Kyle W Lu

Kirill Novitchenko

Kevin Siu Wai Li

Briana C Chapman

Matias Hernan Sulzberger

Stephen Olivier Lemay

Richard R Dellinger

Craig Michael Federighi

Pedro Mari

Ieyuki Kawashima

Sagnik Nandy

James Nicholas Jones

Oluwatomiwa B Alabi

Robert Edward Burton

David S Young

James E Palmer

Sissie Ling-le Hsiao

Rebecca P Fish

Neal S Ellis

Liren Chen

Ashok Babu Amara

Andrea Valentina Simes

Patchaya Beam Seilaudom

Thomas R Fazio

Aaron Musengo

Tyler McClay Smith

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

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Conversion path performance measures and reports

Systems and processes for providing personalized suggestions indicating that a task may be performed using a digital assistant of an electronic device are provided. An example method includes, at an electronic device with a display, receiving context data associated with the electronic device; determining, based on the context data, a task that may be performed by a digital assistant of the electronic device in response to a natural-language expression; determining, based on the context data, whether suggestion criteria associated with the determined task are satisfied; and in accordance with a determination that the suggestion criteria are satisfied, providing a suggestion indicating that the determined task may be performed using the digital assistant of the electronic device.

Voice assistant discoverability through on-device targeting and personalization

An example process includes: while displaying a user interface different from a digital assistant user interface, receiving a user input; in accordance with a determination that the user input satisfies a criterion for initiating a digital assistant: displaying, over the user interface, the digital assistant user interface, the digital assistant user interface including: a digital assistant indicator displayed at a first portion of the display; and a response affordance displayed at a second portion of the display, where: a portion of the user interface remains visible at a third portion of the display; and the third portion is between the first portion and the second portion.

Digital assistant user interfaces and response modes

Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.

User interface for correcting recognition errors

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San Francisco, CA, United States of America

Robert A Walker