REGULATING ASSISTANT RESPONSIVENESS ACCORDING TO CHARACTERISTICS OF A MULTI-ASSISTANT ENVIRONMENT

    公开(公告)号:US20240428796A1

    公开(公告)日:2024-12-26

    申请号:US18828932

    申请日:2024-09-09

    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.

    PROVIDING A PERSONAL ASSISTANT MODULE WITH A SELECTIVELY-TRAVERSABLE STATE MACHINE

    公开(公告)号:US20200029182A1

    公开(公告)日:2020-01-23

    申请号:US16585054

    申请日:2019-09-27

    Applicant: Google LLC

    Abstract: Techniques are described herein for leveraging an online semantic processor to generate a finite state machine to be delivered to and implemented on a resource-constrained device. In various implementations, a user request may be received by a personal assistant module. Data indicative of the user request may be uploaded, e.g., by the personal assistant module, to an online semantic processor. Data may be received, e.g., by the personal assistant module, from the online semantic processor. The received data may represent a state machine having a plurality of candidate states of the personal assistant module. Each candidate state may be potentially responsive to the request. Resources local to the resource-constrained device may be analyzed to ascertain signal(s) unavailable to the online semantic processor. The personal assistant module may then transition to a given state of the plurality of candidate states. The given state may be selected based on the signal(s).

    REGULATING ASSISTANT RESPONSIVENESS ACCORDING TO CHARACTERISTICS OF A MULTI-ASSISTANT ENVIRONMENT

    公开(公告)号:US20240013783A1

    公开(公告)日:2024-01-11

    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:US20210304764A1

    公开(公告)日:2021-09-30

    申请号:US17346797

    申请日:2021-06-14

    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.

    REGULATING ASSISTANT RESPONSIVENESS ACCORDING TO CHARACTERISTICS OF A MULTI-ASSISTANT ENVIRONMENT

    公开(公告)号:US20200302925A1

    公开(公告)日:2020-09-24

    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.

    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.

    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.

    Providing a personal assistant module with a selectively-traversable state machine

    公开(公告)号:US10694344B2

    公开(公告)日:2020-06-23

    申请号:US16585054

    申请日:2019-09-27

    Applicant: Google LLC

    Abstract: Techniques are described herein for leveraging an online semantic processor to generate a finite state machine to be delivered to and implemented on a resource-constrained device. In various implementations, a user request may be received by a personal assistant module. Data indicative of the user request may be uploaded, e.g., by the personal assistant module, to an online semantic processor. Data may be received, e.g., by the personal assistant module, from the online semantic processor. The received data may represent a state machine having a plurality of candidate states of the personal assistant module. Each candidate state may be potentially responsive to the request. Resources local to the resource-constrained device may be analyzed to ascertain signal(s) unavailable to the online semantic processor. The personal assistant module may then transition to a given state of the plurality of candidate states. The given state may be selected based on the signal(s).

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