DETERMINING DATA ASSOCIATED WITH PROXIMATE COMPUTING DEVICES

• US 20150207701A1
• Filed: 02/10/2014
• Published: 07/23/2015
• Est. Priority Date: 01/23/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Faaborg, Alexander, Cohen, Gabriel Aaron
• Granted Patent: US 9,882,996 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

A computing system is described that determines a location of a first computing device at a particular time. Responsive to determining that a second computing device is located within a threshold distance of the location of the first computing device at the particular time, the computing system identifies, based on contextual information associated with a user of the first computing device and contextual information associated with a user of the second computing device, at least one data file that the user of the first computing device is likely to access at the particular time. The computing system then outputs, for transmission to the first computing device, an indication of the at least one data file.

Claims

1. A method, comprising:

determining, by a first computing device, a location of the first computing device at a particular time;

responsive to determining that a second computing device is located within a threshold distance of the location of the first computing device at the particular time, identifying, by the first computing device and based on contextual information associated with a user of the first computing device and contextual information associated with a user of the second computing device, at least one data file that the user of the first computing device is likely to access at the particular time; and

outputting, by the first computing device, for display, a graphical indication of the at least one data file.

2. The method of claim 1, wherein identifying the at least one data file comprises:

determining, by the first computing device, that an attribute of the at least one data file indicates that the user of the first computing device and the user of the second computing device each accessed the at least one data file at a time prior to the particular time; and

identifying, by the first computing device and based on the attribute, the at least one data file.

3. The method of claim 1, wherein identifying the at least one data file comprises responsive to determining that a portion of content of the at least one data file is related to a calendar event associated with at least one of the user of the first computing device and the user of the second computing device, identifying, by the first computing device, the at least one data file, wherein the calendar event is associated with the particular time.

4. The method of claim 1, wherein identifying the at least one data file comprises responsive to determining that a portion of content of the at least one data file is related to the location of the first computing device, identifying, by the first computing device, the at least one data file.

5. The method of claim 1, wherein determining that the second computing device is located within a threshold distance of the location of the first computing device at the particular time further comprises:

detecting, by the first computing device, a wireless communication signal associated with the second computing device;

determining, by the first computing device, based on the wireless communication signal, a maximum detectable range associated with the wireless communication signal;

responsive to determining that the maximum detectable range does not exceed a threshold distance, determining, by the first computing device, that the second computing device is located within the threshold distance of the location of the first computing device at the particular time.

6. The method of claim 1, wherein identifying the at least one data file further comprises:

responsive to detecting a wireless communication signal associated with the second computing device, determining, by the first computing device, based on the wireless communication signal, a device identifier associated with the second computing device;

determining, by the first computing device, based on the device identifier associated with the second computing device, that an attribute of the at least one data file indicates that the second computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the second computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining, by the first computing device, that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

7. The method of claim 1, wherein identifying the at least one data file further comprises:

determining, by the first computing device, based on the contextual information associated with the user of the second computing device, a user identifier associated with at least one of the user of the second computing device and the user of the first computing device;

determining, by the first computing device, based on the user identifier associated with at least one of the user of the second computing device and the user of the first computing device, that an attribute of the at least one data file indicates that the user of the second computing device or the user of the first computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the user of the second computing device or the user of the first computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining, by the first computing device, that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

8. The method of claim 1, wherein the at least one data file is a first data file, the method further comprising:

determining, by the computing device, that a third computing device is located within the threshold distance of the location of the first computing device at the particular time;

determining, by the computing device, a ranking associated with the second and third computing devices, wherein the ranking is based on distance from the location of the first computing device;

identifying, by the first computing device and based on contextual information associated with the user of the first computing device and contextual information associated with a user of the third computing device, a second data file that the user of the first computing device is likely to access at the particular time; and

outputting, by the first computing device, for display and based on the ranking, a graphical indication of the first data file and the second data file.

9. The method of claim 1, further comprising:

outputting, by the first computing device, for display, a graphical user interface comprising a plurality of graphical indications of data files that are accessible to the user of the first computing device at the particular time, the plurality of graphical indications including the graphical indication of the at least one data file, wherein the graphical indication of the at least one data file is different from each, other graphical indication of the plurality of graphical indications.

10. The method of claim 1, wherein the contextual information associated with the user of the first computing device and the contextual information associated with the user of the second computing device comprises ambient audio data detected by each of the first and second computing devices at the particular time, the method further comprising:

responsive to identifying corresponding portions of the ambient audio data detected by each of the first and second computing devices, determining, by the first computing device, that the second computing device is located within the threshold distance of the location of the first computing device at the particular time.

11. A first computing device, comprising:

at least one processor; and

at least one module operable by the at least one processor to;

determine a location of the first computing device at a particular time;

responsive to determining that a second computing device is located within a threshold distance of the location of the first computing device at the particular time, identify, based on contextual information associated with a user of the first computing device and contextual information associated with a user of the second computing device, at least one data file that the user of the first computing device is likely to access at the particular time; and

output, for display, a graphical indication of the at least one data file.

12. The first computing device of claim 11, wherein the at least one module is further operable by the at least one processor to identify the at least one data file by at least:

determining that an attribute of the at least one data file indicates that the user of the first computing device and the user of the second computing device each accessed the at least one data file at a time prior to the particular time; and

identifying, based on the attribute, the at least one data file.

13. The first computing device of claim 11, wherein the at least one module is further operable by the at least one processor to identify the at least one data file by at least:

responsive to determining that a portion of content of the at least one data file is related to a calendar event associated with at least one of the user of the first computing device and the user of the second computing device and occurring at the particular time, identifying the at least one data file, wherein the calendar event is associated with the particular time.

14. The first computing device of claim 11, wherein the at least one module is further operable by the at least one processor to identify the at least one data file by at least:

responsive to determining that a portion of content of the at least one data file is related to the location of the first computing device, identifying the at least one data file.

15. The first computing device of claim 11, wherein the at least one module is further operable by the at least one processor to determine that the second computing device is located within a threshold distance of the location of the first computing device at the particular time by at least:

detecting a wireless communication signal associated with the second computing device;

determining, based on the wireless communication signal, a maximum detectable range associated with the wireless communication signal;

responsive to determining that the maximum detectable range does not exceed a threshold distance, determining that the second computing device is located within the threshold distance of the location of the first computing device at the particular time.

16. The first computing device of claim 11, wherein the at least one module is further operable by the at least one processor to identify the at least one data file by at least:

responsive to detecting a wireless communication signal associated with the second computing device, determining, based on the wireless communication signal, a device identifier associated with the second computing device;

determining, based on the device identifier associated with the second computing device, that an attribute of the at least one data file indicates that the second computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the second computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

17. The first computing device of claim 11, wherein the at least one module is further operable by the at least one processor to identify the at least one data file that the user of the first computing device is likely to access at the particular time by at least:

determining, based on the contextual information associated with the user of the second computing device, a user identifier associated with at least one of the user of the second computing device and the user of the first computing device;

determining, based on the user identifier associated with at least one of the user of the second computing device and the user of the first computing device, that an attribute of the at least one data file indicates that the user of the second computing device or the user of the first computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the user of the second computing device or the user of the first computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

18. The first computing device of claim 11, wherein the at least one data file is a first data file wherein the at least one module is further operable by the at least one processor to:

determine that a third computing device is located within the threshold distance of the location of the first computing device at the particular time;

determine a ranking associated with the second and third computing devices, wherein the ranking is based on distance from the location of the first computing device;

predict, based on contextual information associated with the user of the first computing device and contextual information associated with a user of the third computing device, a second data file that the user of the first computing device is likely to access at the particular time; and

output, for display and based on the ranking, a graphical indication of the first data file predicted to be accessed by the user of the first computing device at the particular time and the second data file predicted to be accessed by the user of the first computing device at the particular time.

19. The first computing device of claim 11, wherein the at least one module is further operable by the at least one processor to:

output, for display, a graphical user interface comprising a plurality of graphical indications of data files that are accessible to the user of the first computing device at the particular time, the plurality of graphical indications including the graphical indication of the at least one data file, wherein the graphical indication of the at least one data file is different from each, other graphical indication of the plurality of graphical indications.

20. The first computing device of claim 11, wherein the contextual information associated with the user of the first computing device and the contextual information associated with the user of the second computing device comprises ambient audio data detected by each of the first and second computing devices at the particular time, the at least one module being further operable by the at least one processor to:

responsive to identifying corresponding portions of the ambient audio data detected by each of the first and second computing devices, determine that the second computing device is located within the threshold distance of the location of the first computing device at the particular time.

21. A method, comprising:

determining, by a computing system, a location of a first computing device at a particular time;

responsive to determining that a second computing device is located within a threshold distance of the location of the first computing device at the particular time, identifying, by the computing system, based on contextual information associated with a user of the first computing device and contextual information associated with a user of the second computing device, at least one data file that the user of the first computing device is likely to access at the particular time; and

outputting, by the computing system, for transmission to the first computing device, an indication of the at least one data file.

22. The method of claim 21, wherein identifying the at least one data file comprises:

determining, by the computing system, that an attribute of the at least one data file indicates that the user of the first computing device and the user of the second computing device each accessed the at least one data file at a time prior to the particular time; and

identifying, by the computing system, based on the attribute, the at least one data file.

23. The method of claim 21, wherein identifying the at least one data file comprises:

determining, by the computing system, based on the contextual information associated with the user of the second computing device, a user identifier associated with the user of the second computing device;

determining, by the computing system, based on the user identifier associated with the user of the second computing device, that an attribute of the at least one data file indicates that the user of the second computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the user of the second computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining, by the computing system, that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

24. The method of claim 21, wherein identifying the at least one data file comprises:

determining, by the computing system, based on the contextual information associated with the user of the first computing device, a user identifier associated with the user of the first computing device;

determining, by the computing system, based on the user identifier associated with the user of the first computing device, that an attribute of the at least one data file indicates that the user of the first computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the user of the first computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining, by the computing system, that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

25. The method of claim 21, further comprising:

receiving, by the computing system, from each of the first computing device and the second computing device, ambient audio data detected by each of the first and second computing devices at the particular time;

comparing, by the computing system, the ambient audio detected by the first computing device to the ambient audio detected by the second computing device; and

responsive to identifying corresponding portions of the ambient audio data detected by each of the first and second computing devices, determining, by the computing system, that the second computing device is located within the threshold distance of the location of the first computing device at the particular time.

26. A computing system comprising:

at least one processor; and

at least one module operable by the at least one processor to;

determine a location of a first computing device at a particular time;

responsive to determining that a second computing device is located within a threshold distance of the location of the first computing device at the particular time, identify, based on contextual information associated with a user of the first computing device and contextual information associated with a user of the second computing device, at least one data file that the user of the first computing device is likely to access at the particular time; and

output, for transmission to the first computing device, an indication of the at least one data file.

27. The computing system of claim 26, wherein the at least one module is further operable by the at least one processor to identify the at least one data file by at least:

determining that an attribute of the at least one data file indicates that the user of the first computing device and the user of the second computing device each accessed the at least one data file at a time prior to the particular time; and

identifying, based on the attribute, the at least one data file.

28. The computing system of claim 26, wherein the at least one module is further operable by the at least one processor to identify the at least one data file by at least:

determining, based on the contextual information associated with the user of the second computing device, a user identifier associated with the user of the second computing device; and

determining, based on the user identifier associated with the user of the second computing device, that an attribute of the at least one data file indicates that the user of the second computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the user of the second computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

29. The computing system of claim 26, wherein the at least one module is further operable by the at least one processor to identify the at least one data file by at least:

determining, based on the contextual information associated with the user of the first computing device, a user identifier associated with the user of the first computing device; and

determining, based on the user identifier associated with the user of the first computing device, that an attribute of the at least one data file indicates that the user of the first computing device previously accessed the at least one data file at an earlier time prior to the particular time; and

responsive to determining that the attribute of the at least one data file indicates that the user of the first computing device previously accessed the at least one data file at the earlier time prior to the particular time, determining that the at least one data file is likely to be accessed by the user of the first computing device at the particular time.

30. The computing system of claim 26, wherein the at least one module is further operable by the at least one processor to:

receive ambient audio data detected by each of the first and second computing devices at the particular time;

compare the ambient audio detected by the first computing device to the ambient audio detected by the second computing device; and

responsive to identifying corresponding portions of the ambient audio data detected by each of the first and second computing devices, determine that the second computing device is located within the threshold distance of the location of the first computing device at the particular time.