/Composition Of Complex Content Via User Interaction With An Automated Assistant
Abstract

Implementations set forth herein relate to an automated assistant that facilitates the creation of complex messages from user input(s) to the automated assistant. Each message can be created according to a respective template that is selected based on user input that directs the automated assistant to communicate a message to a recipient. Furthermore, sections of a template can be designated for certain content based on prior messages communicated by one or more users to one or more recipients. In this way, in response to a user requesting that the automated assistant send a message, the automated assistant can select a related template and fill out the template accordingly. In some instances, content that is assigned to certain sections of the selected template can come from a variety of different sources and/or may not be explicitly specified in the request from the user to the automated assistant.

Full Text

What is claimed is:

Implementations set forth herein relate to an automated assistant that facilitates the creation of complex messages from user input(s) to the automated assistant. Each message can be created according to a respective template that is selected based on user input that directs the automated assistant to communicate a message to a recipient. Furthermore, sections of a template can be designated for certain content based on prior messages communicated by one or more users to one or more recipients. In this way, in response to a user requesting that the automated assistant send a message, the automated assistant can select a related template and fill out the template accordingly. In some instances, content that is assigned to certain sections of the selected template can come from a variety of different sources and/or may not be explicitly specified in the request from the user to the automated assistant.
Timeline
Filed
04/13/2026
Published
08/13/2026
Granted
Not Available
IPC Codes(3)
H04L 51/02:using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
G10L 15/06:Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice (takes precedence G10L 15/14)
G10L 15/22:Procedures used during a speech recognition process, e.g. man-machine dialog