Abstract: Implementations relate to enabling of authorization of certain automated assistant functions via one or more modalities available within a vehicle. Implementations can eliminate wasting of computational and communication resources by at least allowing other users to authorize execution of certain input commands from a user, without requesting the user to re-submit the commands. The vehicle can include a computing device that provides access to restricted data, which can be accessed in order for an action to be performed by the automated assistant. However, when a restricted user requests that the automated assistant perform an action involving accessing the restricted data, the automated assistant can be authorized or unauthorized to proceed with fulfilling the request via a modality controlled by an unrestricted user.

Abstract: Technology of the disclosure may facilitate user discovery of various voice-based action queries that can be spoken to initiate computer-based actions, such as voice-based action queries that can be provided as spoken input to a computing device to initiate computer-based actions that are particularized to content being viewed or otherwise consumed by the user on the computing device. Some implementations are generally directed to determining, in view of content recently viewed by a user on a computing device, at least one suggested voice-based action query for presentation via the computing device. Some implementations are additionally or alternatively generally directed to receiving at least one suggested voice-based action query at a computing device and providing the suggested voice-based action query as a suggestion in response to input to initiate providing of a voice-based query via the computing device.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for using selectable elements to invoke an automated assistant at a computing device. While operating the computing device, a user may not be aware that the automated assistant can be invoked according to certain invocation phrases. In order to inform the user of the functionality of the automated assistant, the user can be presented with selectable elements that can initialize the automated assistant when selected. Furthermore, a selectable element can provide an invocation phrase in textual form so that the user is aware of their ability to invoke the automated assistant by speaking the invocation phrase. The selectable element can be presented at different devices associated with the user, and the automated assistant can be initialized at a device that is separate from the device where the selectable element is presented.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for storing incomplete dialog sessions between a user and an automated assistant in order that the dialog sessions can be completed in furtherance of certain actions. While interacting with an automated assistant, a user can become distracted and not complete the interaction to the point of the automated assistant performing some action. In response, the automated assistant can store the interaction as a dialog session. Subsequently, the user may express interest, directly or indirectly, in completing the dialog session, and the automated assistant can provide the user with a selectable element that, when selected, causes the dialog session to be reopened. The user can then continue the dialog session with the automated assistant in order that the originally intended action can be performed by the automated assistant.

Abstract: Dynamically adapting provision of notification output to reduce distractions and/or to mitigate usage of computational resources. In some implementations, an automated assistant application predicts a level of engagement for a user and determines, based on the predicted level of engagement (and optionally future predicted level(s) of engagement), provisioning (e.g., whether, when, and/or how) of output that is based on a received notification. For example, the automated assistant application can, based on predicted level(s) of engagement, determine whether to provide any output based on a received notification, determine whether to suppress provision of output that is based on the received notification (e.g.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for resuming a partially completed action that is to be performed by an automated assistant. The action can require the automated assistant to prompt the user to provide information that the automated assistant can use to complete the action. During a dialog session in which the user is providing the information, an event can occur that interferes with the completion of the action. In response, the automated assistant can cause any information obtained during the dialog session to be stored locally, in order that the automated assistant can resume completing the action at a later time. For instance, the user can be prompted by the automated assistant to complete the action, or the user can independently invoke the automated assistant to complete the action at a time that is convenient for the user.

Abstract: Implementations relate to enabling of authorization of certain automated assistant functions via one or more modalities available within a vehicle. Implementations can eliminate wasting of computational and communication resources by at least allowing other users to authorize execution of certain input commands from a user, without requesting the user to re-submit the commands. The vehicle can include a computing device that provides access to restricted data, which can be accessed in order for an action to be performed by the automated assistant. However, when a restricted user requests that the automated assistant perform an action involving accessing the restricted data, the automated assistant can be authorized or unauthorized to proceed with fulfilling the request via a modality controlled by an unrestricted user.

Abstract: A method includes determining, by an assistant executing at one or more processors, a default group of actions that the assistant is configured to execute in response to receiving a particular audible command. The method includes determining, by the assistant, based on the default group of actions and a user profile associated with a particular user, a custom group of actions that the assistant is configured to execute in response to receiving the particular audible command from the particular user. The method also includes receiving, by the assistant, an indication of the particular audible command, and determining, by the assistant, whether the indication of particular audible command originated from the particular user. The method further includes, responsive to determining that the indication of particular audible command originated from the particular user, executing, by the assistant, each action from the custom group of actions.

Abstract: An assistant executing at, at least one processor, is described that determines content for a conversation with a user of a computing device and selects, based on the content and information associated with the user, a modality to signal initiating the conversation with the user. The assistant is further described that causes, in the modality, a signaling of the conversation with the user.

Abstract: Methods, systems, apparatus, including computer programs encoded on a computer storage medium, for a user device to learn offline voice actions. In one aspect, the method includes actions of detecting, by the user device, an utterance at a first time when the user device is connected to a server by a network, providing, by the user device, the utterance to the server using the network, receiving, by the user device and from the server, an update to the grammar of the user device, detecting, by the user device, a subsequent utterance of the utterance at a second time when the user device is not connected to the server by a network, and in response to detecting, by the user device, the subsequent utterance of the utterance at the second time, identifying, by the user device, an operation to perform based on (i) the subsequent utterance, and (ii) the updated grammar.

Abstract: Implementations set forth herein relate to pre-emptively initializing an automated assistant in a vehicle according to certain indications, in order to reduce latency while also seeking to preserve computational resources. In some implementations, data for effectuating one or more features of an automated assistant can be loaded into memory of a computing device based on vehicle interaction data. For example, the vehicle interaction data can characterize instances in which the user, from within their vehicle, invoked the automated assistant within a threshold period of time of an application completing an operation. Based on the vehicle interaction data, subsequent instances of the operation being completed while the user is in the vehicle can cause data to be loaded into memory in order to pre-emptively prepare the automated assistant to be utilized by the user.

Abstract: Technology of the disclosure may facilitate user discovery of various voice-based action queries that can be spoken to initiate computer-based actions, such as voice-based action queries that can be provided as spoken input to a computing device to initiate computer-based actions that are particularized to content being viewed or otherwise consumed by the user on the computing device. Some implementations are generally directed to determining, in view of content recently viewed by a user on a computing device, at least one suggested voice-based action query for presentation via the computing device. Some implementations are additionally or alternatively generally directed to receiving at least one suggested voice-based action query at a computing device and providing the suggested voice-based action query as a suggestion in response to input to initiate providing of a voice-based query via the computing device.

Abstract: Dynamically adapting provision of notification output to reduce distractions and/or to mitigate usage of computational resources. In some implementations, an automated assistant application predicts a level of engagement for a user and determines, based on the predicted level of engagement (and optionally future predicted level(s) of engagement), provisioning (e.g., whether, when, and/or how) of output that is based on a received notification. For example, the automated assistant application can, based on predicted level(s) of engagement, determine whether to provide any output based on a received notification, determine whether to suppress provision of output that is based on the received notification (e.g.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for using selectable elements to invoke an automated assistant at a computing device. While operating the computing device, a user may not be aware that the automated assistant can be invoked according to certain invocation phrases. In order to inform the user of the functionality of the automated assistant, the user can be presented with selectable elements that can initialize the automated assistant when selected. Furthermore, a selectable element can provide an invocation phrase in textual form so that the user is aware of their ability to invoke the automated assistant by speaking the invocation phrase. The selectable element can be presented at different devices associated with the user, and the automated assistant can be initialized at a device that is separate from the device where the selectable element is presented.

Abstract: Implementations relate to interactions, over a wireless communication modality, between an automated assistant of an automobile computer system, and separate client device(s). In some of those implementations, the client device(s) can be paired with the automobile computer system, and the client device(s) and the automobile computer system can include separate instances of an automated assistant, which can be associated with different user accounts. In some additional or alternative implementations, particular actions to be performed by a local application of a client device can be advanced via user interaction with the automobile automated assistant, despite a counterpart to the local application not being installed directly on automobile computer system.

Abstract: Implementing and applying a database with radio station information that is gathered from client devices as stations become available to a plurality of users (i.e., “crowd sourced” radio station information) and allowing for a client device to download only the radio station information that is pertinent to the travel route of the user and/or radio station selection criteria associated with the client device or the user. Radio station information can be rendered via a graphical interface of a client device to allow the user to informatively select a new radio station, either before or as a current radio signal degrades to the point of being unusable. Radio station information may be rendered to cause the user's terrestrial radio to tune to a new station.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for isolating at least one device, from multiple devices in an environment, for being responsive to assistant invocations (e.g., spoken assistant invocations). A process for isolating a device can be initialized in response to a single instance of a spoken utterance, of a user, that is detected by multiple devices. One or more of the multiple devices can be caused to query the user regarding identifying a device to be isolated for receiving subsequent commands. The user can identify the device to be isolated by, for example, describing a unique identifier for the device. Unique identifiers can be generated by each device of the multiple devices and/or by a remote server device. The unique identifiers can be presented graphically and/or audibly to the user, and user interface input. Any device that is not identified can become temporarily unresponsive to certain commands, such as spoken invocation commands.

Abstract: An assistant executing at, at least one processor, is described that determines content for a conversation with a user of a computing device and selects, based on the content and information associated with the user, a modality to signal initiating the conversation with the user. The assistant is further described that causes, in the modality, a signaling of the conversation with the user.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for resuming a partially completed action that is to be performed by an automated assistant. The action can require the automated assistant to prompt the user to provide information that the automated assistant can use to complete the action. During a dialog session in which the user is providing the information, an event can occur that interferes with the completion of the action. In response, the automated assistant can cause any information obtained during the dialog session to be stored locally, in order that the automated assistant can resume completing the action at a later time. For instance, the user can be prompted by the automated assistant to complete the action, or the user can independently invoke the automated assistant to complete the action at a time that is convenient for the user.

Abstract: A method includes determining, by an assistant executing at one or more processors, a default group of actions that the assistant is configured to execute in response to receiving a particular audible command. The method includes determining, by the assistant, based on the default group of actions and a user profile associated with a particular user, a custom group of actions that the assistant is configured to execute in response to receiving the particular audible command from the particular user. The method also includes receiving, by the assistant, an indication of the particular audible command, and determining, by the assistant, whether the indication of particular audible command originated from the particular user. The method further includes, responsive to determining that the indication of particular audible command originated from the particular user, executing, by the assistant, each action from the custom group of actions.