Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. Based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. Unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for displaying information that includes a response to a query received by a device. The device receives a follow on query for an electronic conversation about a certain topic and generates a transcription of the follow on query. The device provides the transcription and data about the conversation to respective classifier modules of an assistant module. The assistant module uses a particular classifier module to identify the follow on query as either a query that corresponds to the topic, a query that deviates from the topic, or a query that is unrelated to the topic. The assistant module selects a template for displaying information that includes a response to the follow on voice query after the device causes information to be displayed that includes a response to a preceding voice query.

Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. Based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. Unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session.