EXPANDING PHYSICAL MOTION GESTURE LEXICON FOR AN AUTOMATED ASSISTANT

    公开(公告)号:US20220276722A1

    公开(公告)日:2022-09-01

    申请号:US17747628

    申请日:2022-05-18

    Applicant: Google LLC

    Abstract: Implementations provided herein relate to correlating available input gestures to recently created application functions, and adapting available input gestures, and/or user-created input gestures, to be correlated with existing application functions. Available input gestures (e.g., a hand wave) can be those that can be readily performed upon setup of a computing device. When a user installs an application that is not initially configured to handle the available input gestures, the available input gestures can be correlated to certain functions of the application. Furthermore, a user can create new gestures for application actions and/or modify existing gestures according to their own preferences and/or physical capabilities. When multiple users elect to modify an existing gesture in the same way, the modification can be made universal, with permission from the users, in order to eliminate latency when subsequently adapting to preferences of other users.

    Delayed two-factor authentication in a networked environment

    公开(公告)号:US11288351B2

    公开(公告)日:2022-03-29

    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.

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

    公开(公告)号:US11037562B2

    公开(公告)日:2021-06-15

    申请号:US16343934

    申请日:2018-08-23

    Applicant: Google LLC

    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.

    EXPANDING PHYSICAL MOTION GESTURE LEXICON FOR AN AUTOMATED ASSISTANT

    公开(公告)号:US20200301512A1

    公开(公告)日:2020-09-24

    申请号:US16340597

    申请日:2019-03-27

    Applicant: Google LLC

    Abstract: Implementations provided herein relate to correlating available input gestures to recently created application functions, and adapting available input gestures, and/or user-created input gestures, to be correlated with existing application functions. Available input gestures (e.g., a hand wave) can be those that can be readily performed upon setup of a computing device. When a user installs an application that is not initially configured to handle the available input gestures, the available input gestures can be correlated to certain functions of the application. Furthermore, a user can create new gestures for application actions and/or modify existing gestures according to their own preferences and/or physical capabilities. When multiple users elect to modify an existing gesture in the same way, the modification can be made universal, with permission from the users, in order to eliminate latency when subsequently adapting to preferences of other users.

    Digital assistant processing of stacked data structures

    公开(公告)号:US10665236B2

    公开(公告)日:2020-05-26

    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.

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