Google Inc.

Angana Ghosh

Alexander James Faaborg

Marc Stogaitis

Behshad Behzadi

Zaheed Sabur

Yang Lu

Xu Liu

Steve Cheng

Gokay Baris Gultekin

Luv Kothari

Andrew Theodore Wansley

Akshay Kannan

Domenico Carbotta

Srikanth Pandiri

Qi Wang

Mohammed Waleed Kadous

Nicholas Julian Pelly

Maurice Kyojin Chu

Stephen David Zelinka

Francesco Nerieri

Jeff Brown

Irfan Sheriff

Reto Meier

Implementations set forth herein relate to an automated assistant that can selectively determine whether to incorporate a verbatim interpretation of portions spoken utterances into an entry field and/or incorporate synonymous content into the entry field. For instance, a user can be accessing an interface that provides an entry field (e.g., address field) for receiving user input. In order to provide input for entry field, the user can select the entry field and/or access a GUI keyboard to initialize an automated assistant for assisting with filling the entry field. Should the user provide a spoken utterance, the user can elect to provide a spoken utterance that embodies the intended input (e.g., an actual address) or a reference to the intended input (e.g., a name). In response to the spoken utterance, the automated assistant can fill the entry field with the intended input without necessitating further input from the user.

Voice-controlled entry of content into graphical user interfaces

Certain implementations of the disclosed technology may include systems and methods for providing notifications relating to context-based features of a mobile device. According to an example implementation, a method is provided for receiving an indication of contextual information and an indication of historical information. The method also includes determining an environmental context of the mobile device from the contextual information and the historical information. The method also includes determining whether a usage criteria associated with a context-based feature associated with the environmental context has been met. The method also includes outputting an indication of the determination that the context-based feature has not met the usage criteria, such that the mobile device outputs a notification related to the context-based feature.

Systems and methods for contextual discovery of device functions

Example methods and systems for determining media files based on activity levels are described. An example method includes receiving information indicative of a first speed of the computing device, and receiving information indicative of a geography of a location of the computing device. The method further includes determining, from a plurality of media files tagged with respective tempo identifiers, a first media file based on the geography of the location of the computing device and also having a tempo that substantially matches to the first speed of the computing device. The method includes providing an indication of the first media file to a media player, and based on a change in the first speed of the computing device to a second speed, determining from the plurality of media files tagged with respective tempo identifiers, a second media file having a tempo that substantially matches to the second speed.

Methods and devices for determining media files based on activity levels

A communication device may be configured to control access to geolocation services for applications on the communication device utilizing a first privacy access level setting that enables access to the geolocation services when selected, a second privacy access level setting that disables access to the geolocation services when selected, and other privacy access level settings that are different from, and fall between, the first privacy access level setting and the second privacy access level setting, and enable one time access to the geolocation services for the communication device when selected. The applications can include applications on the communication device that are managed and/or handled by a particular application service provider. The privacy access level settings comprise an anonymous one-time access and a non-anonymous one-time access.

Methods and systems for controlling levels of geolocation access

Mobile devices and associated systems and methods are described. According to one example, a mobile device may include a unique scan only mode in which a wireless communication component of the mobile device is prevented from connecting to wireless networks for data communication, but may still be used to scan for available wireless access points for location determination purposes. According to another example, a mobile device may select which of a plurality of location-determination components that the mobile device should use to determine a location of the mobile device based on whether the mobile device is configured in a unique scan only mode.

Configuring a mobile device to scan for available wireless access points when wireless data communication is disabled

Systems and methods for controlling access to a particular functionality of a wireless communication device are described. For example, a device can include a memory and a processor that is operatively coupled to the memory. The processor can be configured to display a list of entities that have applications installed on the device that can access a particular functionality of the device; display, for each entity, a complete list of applications associated with the corresponding entity and installed on the device, wherein each of the listed applications can access the particular functionality of the device; and provide a respective graphical switch for each entity and by which access is denied to the particular functionality of the device to all of the listed applications associated with the corresponding entity.

System and method for controlling access to a particular functionality of a wireless communication device

Certain embodiments of this disclosure include methods and devices for adjusting the precision of location information. According to one embodiment, a method is provided. The method may include: obtaining a request for location information from an application; determining that the location information needs to be adjusted; obtaining the location information; adjusting the location information, wherein the adjusting includes: (i) adding noise to the location information to obtain noisy location information, (ii) discretizing the noisy location information to obtain discretized location information, and (iii) hysteresizing the discretized location information to obtain adjusted location information. The adjusted location information may then be provided to the requesting application.

Methods and devices for adjusting the precision of location information

Certain embodiments of the disclosed technology may include systems and methods for automatically adjusting messaging quota. According to an implementation of the disclosed technology, a computer-implemented method is provided for determining a first user base size; determining a first push message volume corresponding to the first user base size; setting a push message quota based at least in part on the first push message volume; determining a second user base size; determining an estimated push message volume based at least in part on the second user base size and the first push message volume; determining a second push message volume corresponding to the second user base size; comparing the estimated push message volume to the second push message volume; and adjusting the push message quota based at least in part on the comparison of the estimated push message volume to the second push message volume.

Systems and methods for automatically adjusting messaging quota

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Sunnyvale, CA, United States of America

Angana Ghosh