PROVIDING CONTEXTUAL AUTOMATED ASSISTANT ACTION SUGGESTION(S) VIA A VEHICLE COMPUTING DEVICE

    公开(公告)号:US20250006194A1

    公开(公告)日:2025-01-02

    申请号:US18882604

    申请日:2024-09-11

    Applicant: GOOGLE LLC

    Abstract: Implementations set forth herein relate to an automated assistant that can provide suggestions for a user to interact with the automated assistant to control applications while in a vehicle. The suggestions can be provided to encourage hands-free interactions with the applications, by suggesting an assistant input that invokes the automated assistant to operate as an interface between the user and the applications. Assistant suggestions can be based on a context of a user and/or a context of the vehicle, such as content of a display interface of a device that the user is accessing while in the vehicle. For instance, the automated assistant can determine that an action that the user has employed an application to perform can be initialized more safely and/or in less time by utilizing a particular assistant input. This particular assistant input can then be rendered at an interface of a vehicle computing device.

    METHOD(S) AND SYSTEM(S) TO ENABLE AN IMPROVED AUTOMATED ASSISTANT SUGGESTION SERVICE FOR VEHICLE(S)

    公开(公告)号:US20230230425A1

    公开(公告)日:2023-07-20

    申请号:US17579170

    申请日:2022-01-19

    Applicant: GOOGLE LLC

    Abstract: Implementations described herein relate to various techniques that enable an improved automated assistant suggestion service for vehicle(s). For example, implementations can initialize and perform a recurring system health check service to ensure a connection is maintained between at least an OEM application of an in-vehicle computing device of a given vehicle and the suggestion service accessible by the in-vehicle computing device of the given vehicle. By ensuring this connection is maintained, the suggestion service is less prone to failure and suggestion(s) may still be provided in situations when the suggestion service does fail. Additionally, or alternatively, implementations can utilize a versioning API to ensure compatibility between at least the OEM application and the suggestion service. By ensuring this compatibility, the suggestion service for the vehicle(s) is more robust to version updates and the applications need not be fully compatible.

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