Google Inc.

Alan Lee Gardner, Iii

Nadav Aharony

George Cody Sumter

Mohammed Waleed Kadous

Brian Patrick Williams

Andrew Ames Bunner

Marc Stogaitis

Pascal Tom Getreuer

Zhentao Sun

Ami Patel

Thomas Chao

Richard Daniel Webb

Benjamin Razon

Tony Weber

Liem Tran

Joseph A Farfel

Brian Duff

Daniel Estrada Alva

Richard Francis Lyon

Ryan Michael Rifkin

Maurice Kyojin Chu

David Joseph Murphy

Denise Ho

Ariel Benjamin Sachter-Zeltzer

Lee Brandon Keely

Damon Seeley

Ralph Jacob Cressman

Wing Hang Calvin Ku

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information for a notification. Logical relationships between panels for a user interface of the one or more computing devices are identified. A set of interface patterns that correspond to different logical relationships between panels and describe different spatial relationships for arranging panels having the corresponding logical relationships are obtained. At least one of the logical relationships between the panels for the user interface is determined to match a logical relationship corresponding to a particular interface pattern. The particular interface pattern is selected from among the set of interface patterns to specify the arrangement of the panels of the user interface. The user interface having the panels arranged in the user interface according to the particular interface pattern that is selected is provided.

Dynamically adapting panels of a user interface

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for graphical icon manipulation. In one aspect, a method includes the actions of receiving a user input that corresponds to a selection of a graphical item that is located in a first portion of the graphical interface. The actions further include receiving a translation input that corresponds to a drag of the graphical item. The actions further include determining that a location of the selection input is in a second portion of the graphical interface. The actions further include updating the graphical item by providing, in place of the graphical item, a representation of a change to the graphical item based on the graphical item being placed in the second portion. The actions further include determining that the selection input has ceased. The actions further include providing, for output, the change to the graphical item.

Graphical icon manipulation

The disclosure includes a system and method for detecting proximity between users. The system includes a processor and a memory storing instructions that when executed cause the system to: determine a context associated with a first user device; query other user devices based on the context to create a set of other user devices that satisfy a query; generate a list of filtered devices by filtering the set of other user devices; notify the first user device of the list of filtered devices; and query for the list of filtered devices to determine which filtered devices are within proximity to the first user device.

Proximity detection

The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to: transmit a wakeup signal to a plurality of devices based on coarse grain location information; send a request to a first device of the plurality of devices to transmit a token using a first communication technology to determine fine grain copresence; receive a first token acknowledgment from a first subset of the plurality of devices; send a request to a second device of the first subset of the plurality of devices to transmit the token using a second communication technology to determine fine grain copresence; receive a second token acknowledgment from a second subset of the plurality of devices; and refine copresence based on receiving the first and second token acknowledgment.

Server orchestrated connectivity

The disclosure includes a system and method for summarizing social interactions between users. The system includes a processor and a memory storing instructions that when executed cause the system to: receive a signal stream from at least one of a hardware sensor and a virtual detector, filter the signal stream and outputting filtered signal stream including data defining human-understandable actions, identify activities associated with a first user from the filtered signal stream, generate a summary of the first user's activities, determine that the first user is within proximity to a second user, determine a degree of separation between the first user and the second user in a social network, determine a time elapsed since a last interaction between the first user and the second user, classify the first user's relationship with the second user as being a first type of relationship, a second type of relationship or a third time of relationship, responsive to having the first type of relationship, generate a first summary for the first user that includes a notification that the second user is nearby, a last interaction with the second user and recent interactions with the second user, responsive to having the second type of relationship, generate a second summary for the first user that includes the notification that the second user is nearby, the last interaction with the second user and events that the first user and the second user share in common, and responsive to having the third type of relationship, generate a third summary for the first user that includes the notification that the second user is nearby and events that the first user and the second user share in common.

Summarizing social interactions between users

A system and associated methods for generating a temporal event stream for a user is disclosed. The system includes a processor and a memory storing instructions that when executed cause the system to: receive a signal stream from a user device, determine one or more events from the signal stream, generate a first event stream based on the one or more events, generate one or more queries based on the signal stream, retrieve new events by applying the one or more queries against data stored by an event server and update the first event stream with the new events.

Event stream architecture for syncing events

The disclosure includes a system and method for creating event streams from raw data. The system includes a processor and a memory storing instructions that when executed cause the system to: receive a first event and a second event associated with a first user from a first user device; receive a third event associated with a second user from a second user device; determine one or more overlapping activities between the first event and the third event; update the first event using the third event to generate a first update event; update the third event using the first event to generate a second update event; generate a first event stream that includes the first update event and the second event for the first user; and generate a second event stream that includes the second update event for the second user.

Creating event streams from raw data

The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to receive user input regarding copresence detection settings for a first user device, the copresence detection settings comprising a location and/or a user access control list, and determine a current location of the first user device. The system may determine whether copresence detection of the first user device is enabled at the current location based on the copresence detection settings and the current location. Based on determining that copresence detection is enabled, the system may refine copresence and perform an action based on fine grain copresence of the first and second user device.

Copresence permission model

The disclosure includes a system and method for summarizing social interactions between users. The system includes a processor and a memory storing instructions that when executed cause the system to: receive a signal stream from at least one of a hardware sensor and a virtual detector, filter the signal stream and outputting filtered signal stream including data defining human-understandable actions, identify activities associated with a first user from the filtered signal stream, generate a summary of the first user's activities, determine that the first user is within proximity to a second user, determine a degree of separation between the first user and the second user in a social network, determine a time elapsed since a last interaction between the first user and the second user, classify the first user's relationship with the second user as being a first type of relationship, a second type of relationship or a third type of relationship, responsive to having the first type of relationship, generate a first summary for the first user that includes a notification that the second user is nearby, a last interaction with the second user and recent interactions with the second user, responsive to having the second type of relationship, generate a second summary for the first user that includes the notification that the second user is nearby, the last interaction with the second user and events that the first user and the second user share in common, and responsive to having the third type of relationship, generate a third summary for the first user that includes the notification that the second user is nearby and events that the first user and the second user share in common.

A computing device may identify one or more wireless broadcast signals that are each associated with a name that conforms to a specified wireless naming scheme. Responsive to identifying a particular wireless broadcast signal that is associated with a respective name conforming to the specified wireless naming scheme, the computing device may determine a signal strength of the particular wireless broadcast signal. The computing device may determine a likelihood that a remote device broadcasting the particular wireless signal is within a specified proximity of the computing device based at least in part on the signal strength of the particular wireless broadcast signal. Responsive to determining that the likelihood that the remote device is within the specified proximity of the computing device exceeds a specified threshold, the computing device may initiate an establishment of a wireless connection with the remote device.

Simulation of near-field communications

The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to: process one or more signals to determine coarse grain location information of a first device and a second device; determine whether the first device and the second device are copresent based on the coarse grain location information; in response to determining that the first device and the second device are copresent based on the coarse grain location information, transmit a signal to the second device to alert the second device to listen for a fine grain copresence token from the first device; and refine copresence based on receiving an indication that the second device has received the fine grain copresence token.

Growing community of inventors

Mountain View, CA, United States of America

Alan Lee Gardner, Iii