Abstract: Implementations set forth herein relate to interactions, between vehicle computing devices and mobile computing devices, that reduce duplicative processes from occurring at either device. Reduction of such processes can be performed, in some instances, via communications between a vehicle computing device and a mobile computing device in order to determine, for example, how to uniquely render content at an interface of each respective computing device while the user is driving the vehicle. These communications can occur before a user has entered a vehicle, while the user is in the vehicle, and/or after a user has left the vehicle. For instance, just before a user enters a vehicle, a vehicle computing device can be primed for certain automated assistant interactions between the user and their mobile computing device. Alternatively, or additionally, the user can authorize the vehicle computing device to perform certain processes immediately after leaving the vehicle.

Abstract: Methods and apparatus for detecting hazardous vehicle events and encouraging usage of driving optimized application features to mitigate occurrence of the hazardous vehicle events. The driving optimized application features can address unsafe driving events that are determined to be correlated with certain distracting application features. For example, an application of a computing device can determine that a user is occupying a vehicle and is driving toward a destination. While driving, data available to the application can indicate that an unsafe driving event, such as a hard braking event, has occurred while the user was interacting with another application. Thereafter, and based on this data, the application can render an output characterizing the correlation between the hard braking event and the other application, and/or provide the user with an option to interact with the other application via driving optimized feature(s).

Abstract: Methods and apparatus for detecting hazardous vehicle events and encouraging usage of driving optimized application features to mitigate occurrence of the hazardous vehicle events. The driving optimized application features can address unsafe driving events that are determined to be correlated with certain distracting application features. For example, an application of a computing device can determine that a user is occupying a vehicle and is driving toward a destination. While driving, data available to the application can indicate that an unsafe driving event, such as a hard braking event, has occurred while the user was interacting with another application. Thereafter, and based on this data, the application can render an output characterizing the correlation between the hard braking event and the other application, and/or provide the user with an option to interact with the other application via driving optimized feature(s).

Abstract: Implementations set forth herein relate to an automated assistant that can operate according various driving-optimized modes depending on a degree of confidence that a user is predicted to be traveling in a vehicle. For instance, the automated assistant can automatically operate according to a driving-optimized mode when a prediction that the user is traveling corresponds to a certain degree of confidence. Alternatively, when a prediction that a user is traveling corresponds to lesser degree of confidence, the automated assistant may not operate according to the driving-optimized mode until the user expressly selects to transition the automated assistant into the driving-optimized mode. When the user selects the driving-optimized mode, a driving mode GUI can be rendered with a navigation interface that may include directions to a predicted destination of the user and/or another interface with content suggestions for the user.

Abstract: Implementations set forth herein relate to interactions, between vehicle computing devices and mobile computing devices, that reduce duplicative processes from occurring at either device. Reduction of such processes can be performed, in some instances, via communications between a vehicle computing device and a mobile computing device in order to determine, for example, how to uniquely render content at an interface of each respective computing device while the user is driving the vehicle. These communications can occur before a user has entered a vehicle, while the user is in the vehicle, and/or after a user has left the vehicle. For instance, just before a user enters a vehicle, a vehicle computing device can be primed for certain automated assistant interactions between the user and their mobile computing device. Alternatively, or additionally, the user can authorize the vehicle computing device to perform certain processes immediately after leaving the vehicle.

Abstract: Methods and apparatus for detecting hazardous vehicle events and encouraging usage of driving optimized application features to mitigate occurrence of the hazardous vehicle events. The driving optimized application features can address unsafe driving events that are determined to be correlated with certain distracting application features. For example, an application of a computing device can determine that a user is occupying a vehicle and is driving toward a destination. While driving, data available to the application can indicate that an unsafe driving event, such as a hard braking event, has occurred while the user was interacting with another application. Thereafter, and based on this data, the application can render an output characterizing the correlation between the hard braking event and the other application, and/or provide the user with an option to interact with the other application via driving optimized feature(s).