Copresence permission model

• US 9,769,624 B1
• Filed: 06/24/2015
• Issued: 09/19/2017
• Est. Priority Date: 06/24/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Aharony, Nadav, Bunner, Andrew Ames, Gardner, III, Alan Lee, Kadous, Mohammed Waleed, Williams, Brian Patrick, Stogaitis, Marc, Duff, Brian, Getreuer, Pascal Tom, Sun, Zhentao, Alva, Daniel Estrada, Patel, Ami, Razon, Benjamin, Webb, Richard Daniel, Weber, Tony, Chao, Thomas Yuchin, Cressman, Ralph Jacob, Ho, Denise, Tran, Liem, Farfel, Joseph A.
• Primary Examiner(s): Patel, Ajit
• Assistant Examiner(s): PEREZ, JULIO R
• Application Number:
  US14/749,450
• Time in Patent Office: 818 Days
• Field of Search: 4554561, 455 412
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

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.

Claims

1. A computer-implemented method comprising:

identifying, using one or more processors, a first copresence detection setting for a first user device, the first copresence detection setting including a first type of location where copresence detection is automatically enabled for the first user device;

determining, using the one or more processors, first coarse grain location data of the first user device;

detecting, using the one or more processors, whether the first coarse grain location data of the first user device fulfills the first type of location;

responsive to detecting that the first coarse grain location data of the first user device fulfills the first type of location, automatically enabling the copresence detection for the first user device based on the first copresence detection setting;

determining, using the one or more processors, second coarse grain location data of a second user device;

determining, using the one or more processors, whether the second user device is within a first proximate distance of the first user device based on the first coarse grain location data and the second coarse grain location data;

responsive to determining that the second user device is within the first proximate distance of the first user device, determining that the second user device is in coarse grain copresence with the first user device; and

initiating fine grain copresence detection of the second user device by the first user device within a second proximate distance that is shorter than the first proximate distance based on the first copresence detection setting.

2. The computer-implemented method of claim 1, wherein initiating the fine grain copresence detection of the second user device by the first user device comprises:

selecting the second user device in the coarse grain copresence with the first user device based on the first copresence detection setting;

transmitting a signal to the second user device to alert the second user device to begin listening for a fine grain copresence token;

initiating transmission of the fine grain copresence token from the first user device to the second user device; and

receiving an indication that the second user device has received the fine grain copresence token.

3. The computer-implemented method of claim 2, wherein the first coarse grain location data includes one from a group of GPS data and Wi-Fi data.

4. The computer-implemented method of claim 2, wherein the fine grain copresence token is transmitted from the first user device to the second user device using one from a group of inaudible audio, audible audio, Bluetooth, Bluetooth Low Energy (BLE), Wi-Fi, and near field communication.

5. The computer-implemented method of claim 2, wherein responsive to receiving the indication that the second user device has received the fine grain copresence token, confirming that the second user device is in fine grain copresence with respect to the first device.

6. The computer-implemented method of claim 5, further comprising notifying the first user device that the second user device is copresent based on the fine grain copresence.

7. The computer-implemented method of claim 5, further comprising pre-loading content on the second user device based on the fine grain copresence.

8. The computer-implemented method of claim 1, wherein the first copresence detection setting includes an access control list and automatically enabling the copresence detection for the first user device includes making a copresence of the first user device be detectable to a third user device included in the access control list.

9. The computer-implemented method of claim 1, wherein responsive to detecting that the first coarse grain location data of the first user device fulfills the first type of location:

identifying a second copresence detection setting previously enabled on the first user device, the second copresence detection setting including a second type of location where the copresence detection is automatically enabled for the first user device; and

automatically switching the copresence detection for the first user device from the second copresence detection setting to the first copresence detection setting.

10. The computer-implemented method of claim 1, wherein the first copresence detection setting includes a type of social connection of the first user for making a copresence of the first user device be detectable to a third user device of the type of social connection.

11. A computer program product comprising a non-transitory computer usable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

identify a first copresence detection setting for a first user device, the first copresence detection setting including a first type of location where copresence detection is automatically enabled for the first user device;

determine first coarse grain location data of the first user device;

detect whether the first coarse grain location data of the first user device fulfills the first type of location;

responsive to detecting that the first coarse grain location data of the first user device fulfills the first type of location, automatically enable the copresence detection for the first user device based on the first copresence detection setting;

determine second coarse grain location data of a second user device;

determine whether the second user device is within a first proximate distance of the first user device based on the first coarse grain location data and the second coarse grain location data;

responsive to determining that the second user device is within the first proximate distance of the first user device, determine that the second user device is in coarse grain copresence with the first user device; and

initiate fine grain copresence detection of the second user device by the first device within a second proximate distance that is shorter than the first proximate distance based on the first copresence detection setting.

12. The computer program product of claim 11, wherein to initiate the fine grain copresence detection of the second user device by the first user device, the computer readable program is further configured to cause the computer to:

select the second user device in the coarse grain copresence with the first user device based on the first copresence detection setting;

transmit a signal to the second user device to alert the second user device to begin listening for a fine grain copresence token;

initiate transmission of the fine grain copresence token from the first user device to the second user device; and

receive an indication that the second user device has received the fine grain copresence token.

13. The computer program product of claim 12, wherein the first coarse grain location data includes one from a group of GPS data and Wi-Fi data.

14. The computer program product of claim 12, wherein the fine grain copresence token is transmitted from the first user device to the second user device using one from a group of inaudible audio, audible audio, Bluetooth, Bluetooth Low Energy (BLE), Wi-Fi, and near field communication.

15. The computer program product of claim 12, wherein responsive to receiving the indication that the second user device has received the fine grain copresence token, the computer readable program is further configured to cause the computer to confirm that the second user device is in fine grain copresence with respect to the first user device.

16. The computer program product of claim 15, wherein the computer readable program is further configured to notify the first user device that the second user device is copresent based on the fine grain copresence.

17. The computer program product of claim 15, wherein the computer readable program is further configured to pre-load content on the second user device based on the fine grain copresence.

18. The computer program product of claim 11, wherein the first copresence detection setting includes an access control list and automatically enabling the copresence detection for the first user device includes making a copresence of the first user device be detectable to a third user device included in the access control list.

19. The computer program product of claim 11, wherein responsive to detecting that the first coarse grain location data of the first user device fulfills the first type of location, the computer readable program is further configured to cause the computer to:

identify a second copresence detection setting previously enabled on the first user device, the second copresence detection setting including a second type of location where the copresence detection is automatically enabled for the first user device; and

automatically switch the copresence detection for the first user device from the second copresence detection setting to the first copresence detection setting.

20. The computer program product of claim 11, wherein the first copresence detection setting includes a type of social connection of the first user for making a copresence of the first user device be detectable to a third user device of the type of social connection.