IP Library › Granted Patent US 12,613,730
Granted Patent B2
US 12,613,730 · App. 17/686,235 · Granted Apr 28, 2026

Systems and methods for integrating third party services with a digital assistant

Inventors: Thomas R. Gruber (Santa Cruz, CA); Christopher D. Brigham (San Jose, CA); Adam J. Cheyer (Oakland, CA); Daniel Keen (San Jose, CA); Kenneth Kocienda (San Jose, CA)
Assignee: Apple Inc.
G06F9/46G06F9/4806G06F9/4843G06F9/4856G06F9/4881G06F9/50G06F9/5005G06F9/5027G06Q10/10G10L15/00H04W4/00H04W4/02H04W4/021H04W4/022H04W4/023H04W4/029
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Quick Facts
Patent No.
US 12,613,730
App. No.
17/686,235
Filed
Mar 3, 2022
Granted
Apr 28, 2026
Kind
B2
Art Unit
2197
USPC
718/102
Abstract

The electronic device with one or more processors and memory receives an input of a user. The electronic device, in accordance with the input, identifies a respective task type from a plurality of predefined task types associated with a plurality of third party service providers. The respective task type is associated with at least one third party service provider for which the user is authorized and at least one third party service provider for which the user is not authorized. In response to identifying the respective task type, the electronic device sends a request to perform at least a portion of a task to a third party service provider of the plurality of third party service providers that is associated with the respective task type.

Claims (71)

1 . A non-transitory computer-readable storage medium storing one or more programs configured to be executed by one or more processors of an electronic device, the one or more programs including instructions for:

receiving, from a third party service provider, a first request corresponding to one or more task types of a default task flow model of a digital assistant;

integrating, based on the first request, the third party service provider with a digital assistant template, wherein the digital assistant template is associated with the one or more task types of the default task flow model of the digital assistant and wherein the digital assistant template includes a linguistic pattern;

receiving an input of a user;

identifying, based on the received user input, the digital assistant template integrated with the third party service provider from a plurality of templates that include a plurality of respective linguistic patterns, wherein the plurality of templates includes the digital assistant template;

in response to identifying the digital assistant template integrated with the third party service provider:

determining, using the digital assistant template, an intent including a task of the default task flow model; and

sending a second request to perform the task to the third party service provider rather than another third party service provide capable of performing the task.

2 . The non-transitory computer-readable storage medium of claim 1 , wherein the electronic device is a server.

3 . The non-transitory computer-readable storage medium of claim 1 , wherein the first request includes a vocabulary defined by the third party service provider.

4 . The non-transitory computer-readable storage medium of claim 1 , wherein the first request includes a pre-existing task type.

5 . The non-transitory computer-readable storage medium of claim 1 , wherein the first request includes a new task type.

6 . The non-transitory computer-readable storage medium of claim 1 , wherein the digital assistant template is further identified based on user-specific data.

7 . The non-transitory computer-readable storage medium of claim 1 , wherein the digital assistant template is further identified based on a state of a user device in communication with the electronic device.

8 . The non-transitory computer-readable storage medium of claim 1 , wherein the digital assistant template is further identified based on prior interaction between the user and a user device in communication with the electronic device.

9 . The non-transitory computer-readable storage medium of claim 1 , wherein the digital assistant template is further identified based on an authorization state associated with the user.

10 . The non-transitory computer-readable storage medium of claim 1 , wherein the digital assistant template is further identified based on a ranking associated with the digital assistant template.

11 . The non-transitory computer-readable storage medium of claim 1 , wherein determining, using the digital assistant template, an intent including a task further comprises determining a parameter of the digital assistant template.

12 . The non-transitory computer-readable storage medium of claim 11 , wherein the parameter of the digital assistant template is based on user-specific data.

13 . The non-transitory computer-readable storage medium of claim 11 , wherein the parameter of the digital assistant template is based on prior interaction between the user and a user device.

14 . The non-transitory computer-readable storage medium of claim 11 , wherein the parameter of the digital assistant template is based on an active application of a user device.

15 . The non-transitory computer-readable storage medium of claim 1 , wherein the one or more programs further include instructions for:

receiving a result of performing at least the portion of the task from the third party service provider; and

providing the result to a user device.

16 . The non-transitory computer-readable storage medium of claim 15 , wherein the one or more programs further include instructions for:

causing the user device to provide an audio output including the result.

17 . The non-transitory computer-readable storage medium of claim 1 , wherein the input of the user is an audio input received at a user device.

18 . The non-transitory computer-readable storage medium of claim 1 , wherein the input of the user is text derived from an audio input received at a user device.

19 . The non-transitory computer-readable storage medium of claim 1 , the one or more programs further including instructions for:

receiving, from the third party service provider, a third party template; and

integrating the third party service provider by integrating the third party template with the digital assistant, wherein the third party template does not belong to the digital assistant.

20 . An electronic device comprising:

one or more processors;

a memory; and

one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:

receiving, from a third party service provider, a first request corresponding to one or more task types of a default task flow model of a digital assistant;

integrating, based on the first request, the third party service provider with a digital assistant template, wherein the digital assistant template is associated with the one or more task types of the default task flow model of the digital assistant and wherein the digital assistant template includes a linguistic pattern;

receiving an input of a user;

identifying, based on the received user input, the digital assistant template integrated with the third party service provider from a plurality of templates that include a plurality of respective linguistic patterns, wherein the plurality of templates includes the digital assistant template;

in response to identifying the digital assistant template integrated with the third party service provider:

determining, using the digital assistant template, an intent including a task of the default task flow model; and

sending a second request to perform the task to the third party service provider rather than another third party service provide capable of performing the task.

21 . The electronic device of claim 20 , wherein the first request includes a vocabulary defined by the third party service provider.

22 . The electronic device of claim 20 , wherein the first request includes a pre-existing task type.

23 . The electronic device of claim 20 , wherein the digital assistant template is further identified based on user-specific data.

24 . The electronic device of claim 20 , wherein the digital assistant template is further identified based on a state of a user device in communication with the electronic device.

25 . The electronic device of claim 20 , wherein the digital assistant template is further identified based on prior interaction between the user and a user device in communication with the electronic device.

26 . The electronic device of claim 20 , wherein the digital assistant template is further identified based on an authorization state associated with the user.

27 . The electronic device of claim 20 , wherein the digital assistant template is further identified based on a ranking associated with the digital assistant template.

28 . The electronic device of claim 20 , wherein the one or more programs further include instructions for:

receiving a result of performing at least the portion of the task from the third party service provider; and

providing the result to a user device.

29 . A method of processing a user input, performed at an electronic device with one or more processors and memory, the method comprising:

at the electronic device:

receiving, from a third party service provider, a first request corresponding to one or more task types of a default task flow model of a digital assistant;

integrating, based on the first request, the third party service provider with a digital assistant template, wherein the digital assistant template is associated with the one or more task types of the default task flow model of the digital assistant and wherein the digital assistant template includes a linguistic pattern;

receiving an input of a user;

identifying, based on the received user input, the digital assistant template integrated with the third party service provider from a plurality of templates that include a plurality of respective linguistic patterns, wherein the plurality of templates includes the digital assistant template;

in response to identifying the digital assistant template integrated with the third party service provider:

determining, using the digital assistant template, an intent including a task of the default task flow model; and

sending a second request to perform the task to the third party service provider rather than another third party service provide capable of performing the task.

30 . The method of claim 29 , wherein the first request includes a vocabulary defined by the third party service provider.

31 . The method of claim 29 , wherein the first request includes a pre-existing task type.

32 . The method of claim 29 , wherein the digital assistant template is further identified based on user-specific data.

33 . The method of claim 29 , wherein the digital assistant template is further identified based on a state of a user device in communication with the electronic device.

34 . The method of claim 29 , wherein the digital assistant template is further identified based on prior interaction between the user and a user device in communication with the electronic device.

35 . The method of claim 29 , wherein the digital assistant template is further identified based on an authorization state associated with the user.

36 . The method of claim 29 , wherein the digital assistant template is further identified based on a ranking associated with the digital assistant template.

37 . The method of claim 29 , further comprising:

receiving a result of performing at least the portion of the task from the third party service provider; and

providing the result to a user device.

Continuity (5)
Continuation 16532930 · Aug 6, 2019
Continuation 13894350 · May 14, 2013
Provisional Application 61799916 · Mar 15, 2013
Provisional Application 61647434 · May 15, 2012
Related Publication 20220405117A1 · Dec 22, 2022
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