Google Inc.

Dana Ritter

Mugurel-Ionut Andreica

Andre Elisseeff

Marcin M Nowak-Przygodzki

Cliff Kuang

Matthew Stokes

Radu Voroneanu

Diana Avram

Mathias Carlen

Lukasz Suder

Alice Liang

Ernest Galbrun

Torsten Marek

João Paulo Pagaime Da Silva

Adam Coimbra

Gökhan Hasan Bakir

Gökhan Bakir

Sneha Ashok

Marius Dumitran

Kyunghoon Lee

Deepak Goyal

Anton Berezin

Andrea D'olimpio

Florian Hasler

Implementations relate to identifying actions performed by a user while the user is interacting with multiple applications and providing a routine suggestion to the user based on the identified actions. While a user is interacting with one or more applications, the user actions are determined. The user actions are compared to one or more template routines and a template routine is selected that matches the actions of the user and provided to the user as a suggested routine. The suggested routine can be implemented by an automated assistant to perform the actions of the template by providing a corresponding command.

Automatically suggesting routines based on detected user actions via multiple applications

Implementations relate to determining a rendering type for an application that is executing automatically. Based on user interactions with an application that is associated with specified input from the user while the user is interacting with the application, a confidence metric is generated for each specified input and a rendering type is determined based on the confidence metrics. Subsequently, when the user requests that a sequence of actions be performed, the application will be displayed according to the rendering type.

Automatically executing application routines with user inputs

Implementations are described herein for analyzing existing interactive web sites to facilitate automatic engagement with those web sites, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those websites. For example, in various implementations, techniques described herein may be used to extract, validate, maintain, generalize, extend and/or distribute individual actions and 'traces' of actions that are useable to navigate through various interactive websites. Additionally, techniques are described herein for leveraging these actions and/or traces to automate aspects of interaction with a third party website. For example, in some implementations, techniques described herein may enable users to engage with an automated assistant (via a spoken or typed dialog session) to interact with the third party website without requiring the user to visually interact with the third party web site directly and without requiring the third party to implement their own third party agent.

Analyzing web pages to facilitate automatic navigation

Implementations are described herein for analyzing existing interactive web sites to facilitate automatic engagement with those web sites, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those websites. For example, in various implementations, techniques described herein may be used to abstract, validate, maintain, generalize, extend and/or distribute individual actions and 'traces' of actions that are useable to navigate through various interactive websites. Additionally, techniques are described herein for leveraging these actions and/or traces to automate aspects of interaction with a third party website. For example, in some implementations, techniques described herein may enable users to engage with an automated assistant (via a spoken or typed dialog session) to interact with the third party web site without requiring the user to visually interact with the third party web site directly and without requiring the third party to implement their own third party agent.

Growing community of inventors

Horgen, Switzerland

Dana Ritter