DIGITAL ASSISTANT PROCESSING OF STACKED DATA STRUCTURES

    公开(公告)号:US20190180742A1

    公开(公告)日:2019-06-13

    申请号:US15966940

    申请日:2018-04-30

    Applicant: Google LLC

    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

    DELAYED TWO-FACTOR AUTHENTICATION IN A NETWORKED ENVIRONMENT

    公开(公告)号:US20220188397A1

    公开(公告)日:2022-06-16

    申请号:US17686967

    申请日:2022-03-04

    Applicant: Google LLC

    Abstract: Systems and methods of the present disclosure enable for a delayed, two-factor authentication to occur in networked devices. The system and methods can enable the immediate delivery of digital components, which results in fewer abandoned requests, and saves network resources. The system and methods can enable the authorization of data transmissions in networked computer devices that include limited user interfaces, such as voice-based interfaces.

    Delayed two-factor authentication in a networked environment

    公开(公告)号:US11113372B2

    公开(公告)日:2021-09-07

    申请号:US16039208

    申请日:2018-07-18

    Applicant: Google LLC

    Abstract: Systems and methods of the present disclosure enable for a delayed, two-factor authentication to occur in networked devices. The system and methods can enable the immediate delivery of digital components, which results in fewer abandoned requests, and saves network resources. The system and methods can enable the authorization of data transmissions in networked computer devices that include limited user interfaces, such as voice-based interfaces.

    AUTOMATED ASSISTANT INVOCATION OF SECOND INTERACTIVE MODULE USING SUPPLEMENTAL DATA PROVIDED BY FIRST INTERACTIVE MODULE

    公开(公告)号:US20200342865A1

    公开(公告)日:2020-10-29

    申请号:US16620868

    申请日:2018-08-21

    Applicant: Google LLC

    Abstract: Implementations set forth herein relate to an automated assistant capable of bypassing soliciting a user for supplemental data for completing an action when a previously-queried application is capable of providing the supplemental data. For instance, when a user invokes the automated assistant to complete a first action with a first application, the user may provide many pertinent details. Those details may be useful to a second application that the user may subsequently invoke via the automated assistant for completing a second action. In order to save the user from having to repeat the details to the automated assistant, the automated assistant can interact with the first application in order to obtain any information that may be essential for the second application to complete the second action. The automated assistant can then provide the information to the second application, without soliciting the user for the information.

    DELAYED TWO-FACTOR AUTHENTICATION IN A NETWORKED ENVIRONMENT

    公开(公告)号:US20200304493A1

    公开(公告)日:2020-09-24

    申请号:US15775754

    申请日:2018-04-25

    Applicant: Google LLC

    Abstract: Systems and methods of the present disclosure enable for a delayed, two-factor authentication to occur in networked devices. The system and methods can enable the immediate delivery of digital components, which results in fewer abandoned requests, and saves network resources. The system and methods can enable the authorization of data transmissions in networked computer devices that include limited user interfaces, such as voice-based interfaces.

    DIGITAL ASSISTANT PROCESSING OF STACKED DATA STRUCTURES

    公开(公告)号:US20200273461A1

    公开(公告)日:2020-08-27

    申请号:US16874240

    申请日:2020-05-14

    Applicant: Google LLC

    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

    Regulating assistant responsiveness according to characteristics of a multi-assistant environment

    公开(公告)号:US12087300B2

    公开(公告)日:2024-09-10

    申请号:US18244738

    申请日:2023-09-11

    Applicant: GOOGLE LLC

    CPC classification number: G10L15/22 G06F3/167 G10L2015/221 G10L2015/223

    Abstract: Implementations set forth herein relate to employing dynamic regulations for governing responsiveness of multiple automated assistant devices, and specifically the responsiveness an automated assistant to a given spoken utterance that has been acknowledged by two or more of the assistant devices. The dynamic regulations can be context-dependent and adapted over time in order that the automated assistant can accommodate assistant interaction preferences that may vary from user to user. For instance, a spoken utterance such as “stop,” may be intended to affect different assistant actions based on a context in which the user provided the spoken utterance. The context can refer to a location of the user relative to other rooms in a home, a time of day, a user providing the spoken utterance, an arrangement of the assistant devices within a home, and/or a state of each device in the home.

    Regulating assistant responsiveness according to characteristics of a multi-assistant environment

    公开(公告)号:US11756546B2

    公开(公告)日:2023-09-12

    申请号:US17346797

    申请日:2021-06-14

    Applicant: Google LLC

    CPC classification number: G10L15/22 G06F3/167 G10L2015/221 G10L2015/223

    Abstract: Implementations set forth herein relate to employing dynamic regulations for governing responsiveness of multiple automated assistant devices, and specifically the responsiveness an automated assistant to a given spoken utterance that has been acknowledged by two or more of the assistant devices. The dynamic regulations can be context-dependent and adapted over time in order that the automated assistant can accommodate assistant interaction preferences that may vary from user to user. For instance, a spoken utterance such as “stop,” may be intended to affect different assistant actions based on a context in which the user provided the spoken utterance. The context can refer to a location of the user relative to other rooms in a home, a time of day, a user providing the spoken utterance, an arrangement of the assistant devices within a home, and/or a state of each device in the home.

    Digital assistant processing of stacked data structures

    公开(公告)号:US11508371B2

    公开(公告)日:2022-11-22

    申请号:US16874240

    申请日:2020-05-14

    Applicant: Google LLC

    Abstract: Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

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