Google Inc.

Ian Baker

Nikhil Rao

Anshul Mohan Gupta

Jay Akkad

Adam Coimbra

Hao Wu

Prithvi Balaram

David T Wang

Neil Dhillon

David Wang

Cliff Kuang

Sean Joseph Klassen

Stacy Cronin

Katrina Egert-Pecot

Simon Sok

Abraham Wallin

Caleb Misclevitz

Karan Patel

Ryan Allen

Secure communication in mobile digital pages is provided. The system receives an electronic document and validates the electronic document for storage in a cache server. The system receives a request for the electronic document and provides it to a viewer component on a client computing device. The viewer component loads the electronic document in an iframe. The viewer component executes a runtime component to receive, via a secure communication channel, a tag from the electronic document. The system receives the tag and selects a data value for transmission to the viewer component. The viewer components provides the data value to cause the runtime component to execute an action with the data value.

Secure communication in mobile digital pages

Secure digital assistant integration with web pages is provided. The system receives an intent manifest data structure that maps actions of a digital assistant with link templates of an electronic resource developed by a third-party developer device. The system validates the electronic resource based on the intent manifest data structure. The system receives, from a data exchange component of an iframe of the electronic resource loaded by a client computing device, an identifier of the client computing device. The system receives a foreground state of the electronic resource from an onsite state sharing API. The system selects a data value for a parameter based on the foreground state and the intent manifest data structure. The system provides the data value. An authorization component generates an authorization prompt, receives input, and transmits the data value to an onsite intent execution API of the electronic resource to execute an action.

Secure digital assistant integration in web pages

Some implementations relate to an automated assistant that can provide assistant suggestions based on content that the user has requested for the automated assistant to render at a computing device. In some instances, an assistant suggestion can correspond to a portion of the content that is not being rendered at the computing device but that is part of the content that the user is accessing. In other instances, an assistant suggestion can be based on data that can indicate how one or more users may have interacted with their automated assistant when viewing the content. Therefore, an assistant suggestion can correspond to an assistant operation that may have been initialized by another user who had previously viewed the content. In some implementations, an arrangement of the assistant suggestions can be modified according to which part of the content a user is viewing and/or user distance.

Dynamic assistant suggestions during assistant browsing

Interface and mode selection for digital action execution is provided. For example, a system loads a script library embedded in an electronic resource. The system determines a historic level of engagement between a client computing device and one or more digital assistants. The system selects, based on a first property of the client computing device and the historic level of engagement, a type of digital interface. The system generates, based on the type of digital interface, a digital interface with the call-to-action. The system determines, responsive to an instruction to execute the call-to-action, a mode of execution. The system selects a digital assistant and a second client device to execute the call-to-action. The system transmits the call-to-action to the second client device for execution.

Interface and mode selection for digital action execution

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Mountain View, CA, United States of America

Ian Baker