Cooperative mobile analytics

• US 9,250,928 B2
• Filed: 12/29/2011
• Issued: 02/02/2016
• Est. Priority Date: 10/18/2011
• Status: Active Grant

• Current Assignee: McAfee, LLC
• Original Assignee: McAfee, Inc. (McAfee, LLC)
• Inventors: Pearcy, Derek Patton
• Primary Examiner(s): Kumar, Anil N
• Application Number:
  US13/340,341
• Publication Number:
  US 20130097518A1
• Time in Patent Office: 1,496 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 2209/545 Gui
• CPC Class Codes: G06F 9/452 Remote windowing, e.g. X-Window System, desktop virtualisation protocols for virtual reality H04L67/131
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

A first computing device running a particular program is used to identify a second computing device also running the particular program and substantially co-located with the first computing device in a particular physical location. The first computing device and the second computing device are joined in a use session of the particular program. It is determined that the first computing device displays a first user interface of the particular program at a first instance, the first user interface showing a first context in a plurality of contexts. The second computing device displays a second user interface of the particular program at the first instance based at least in part on the first user interface showing the first context, the second user interface showing a second context in the plurality of contexts.

Claims

1. At least one non-transitory machine accessible storage medium having instructions stored thereon, the instructions when executed on a machine, to cause the machine to:

identify, using a first computing device running a particular program comprising an analytics application, a second computing device running the particular program, wherein the second computing device is identified as substantially co-located with the first computing device in a particular physical location;

join the first computing device and the second computing device in a use session of the particular program, wherein the use session is a collaborative analytics session, wherein the particular program is to facilitate user analysis of a data set in the use session;

determine that the first computing device displays a first interactive user interface of the particular program at a first instance of time, the first user interface to display a representation of the data set in a first context in a plurality of contexts;

cause the second computing device to display a second interactive user interface of the particular program at the first instance of time based at least in part on the first user interface using the first context, the second user interface to display a representation of the data set in a different, second context in the plurality of contexts, wherein the second computing device displays the representation of the data set in the second context simultaneously with the first computing device displaying the representation of the data set in the first context;

receive user input at the first computing device, the user input resulting in the first computing device displaying a modified representation of the data set in the first context; and

in response to receiving the user input at the first computing device, cause the second computing device to display a modified representation of the data set in the second context, wherein the modified representation of the data set in the second context displayed by the second computing device is based on the user input received at the first computing device.

2. The storage medium of claim 1, wherein the instructions, when executed, further cause the machine to:

receive, at a second instance subsequent to the first instance, a first user input at the first computing device; and

communicate the first user input to the second computing device to effect a change on the second user interface of the particular program resulting in presentation of an updated second user interface on the second computing device.

3. The storage medium of claim 2, wherein the first user input also effects a particular change on the first user interface of the particular program resulting in presentation of an updated first user interface on the first computing device.

4. The storage medium of claim 2, wherein the first user input is received through the first user interface.

5. The storage medium of claim 1, wherein an analytics operation in the first context affects data included in the second context.

6. The storage medium of claim 5, wherein the analytics operation filters data within the first context to identify a first subset of data and the analytics operation affects data included in the second context by filtering the data included in the second context according to the filtering of data within the first context.

7. The storage medium of claim 6, wherein:

the analytics operation is performed using the first user interface at a second instance subsequent to a first instance and causes a change to the first user interface, the first user interface displaying a representation of the data within the first context at the first instance and a changed representation of the filtered data at the second instance, and

the filtering of data included in the second context in response to the analytics operation causes a change to the second user interface, the second user interface displaying a representation of the data within the second context at the first instance and a changed representation of the filtered data after the second instance.

8. The storage medium of claim 1, wherein each instance of the analytics application on the first and second computing devices accesses a particular data set and the collaborative analytics session involves analytics on the particular data set.

9. The storage medium of claim 8, wherein the particular data set is provided by a server remote from the first and second computing devices.

10. The storage medium of claim 8, wherein each instance of the analytics application on the first and second computing devices accesses the particular data set in a respective cache of the first and second computing devices.

11. The storage medium of claim 10, wherein the instructions, when executed, further cause the machine to coordinate the caches of the first and second computing devices so that the particular data set is accessible from each of the caches of the first and second computing devices.

12. The storage medium of claim 1, wherein the instructions, when executed, further cause the machine to:

receive a request at the first computing device requesting that a user interface of the particular program present data in a particular context different from the first context in the plurality of contexts;

cause a particular user interface to be displayed on the first computing device presenting data in the particular context; and

cause the second user interface of the particular program to be changed, in response to the request at the first computing device, to a different user interface showing a context in the plurality of contexts different from the second context.

13. The storage medium of claim 12, wherein the particular user interface displayed on the first computing device presents data in the second context and the different user interface displayed on the second computing device shows the first context.

14. The storage medium of claim 13, wherein the particular user interface is the second user interface and the different user interface is the first user interface.

15. The storage medium of claim 12, wherein the instructions, when executed, further cause the machine to:

receive, through the particular user interface, a first user input at the first computing device; and

communicate the first user input to the second computing device to effect a change on the different user interface.

16. The storage medium of claim 1, wherein identifying that the second computing device is substantially co-located with the first computing device in the particular physical location includes determining whether the second computing device is within range of a particular wireless network.

17. The storage medium of claim 16, wherein the particular wireless network includes a Bluetooth network.

18. The storage medium of claim 1, wherein the first computing device is designated a lead device within the use session.

19. The storage medium of claim 18, wherein the instructions, when executed, further cause the machine to define permissions of at least the second computing device within the use session at the lead first computing device.

20. The storage medium of claim 1, wherein the second computing device displays the second user interface at a corresponding scale and resolution for the second device.

21. A method comprising:

identifying, using a first computing device running a particular program comprising an analytics application, a second computing device running the particular program, wherein the second computing device is identified as substantially co-located with the first computing device in a particular physical location;

joining the first computing device and the second computing device in a use session of the particular program, wherein the use session is a collaborative analytics session, wherein the particular program is to facilitate user analysis of a data set in the use session;

determining that the first computing device displays a first interactive user interface of the particular program at a first instance of time, the first user interface to display a representation of the data set, in a first context in a plurality of contexts; and

causing the second computing device to display a second interactive user interface of the particular program at the first instance of time based at least in part on the first user interface using the first context, the second user interface to display a representation of the data set, in a second context in the plurality of contexts, wherein the second computing device displays the representation of the data set in the second context simultaneously with the first computing device displaying the representation of the data set in the first context;

receiving user input at the first computing device, the user input resulting in the first computing device displaying a modified representation of the data set in the first context; and

in response to receiving the user input at the first computing device, causing the second computing device to display a modified representation of the data set in the second context, wherein the modified representation of the data set in the second context displayed by the second computing device is based on the user input received at the first computing device.

22. An apparatus comprising:

a memory configured to store data;

a processor operable to execute instructions associated with the data; and

an analytics application, adapted when executed by the at least one processor device to facilitate a cooperative analytics session by;

identifying a second computing device running a program compatible with the particular program, wherein the second computing device is identified as substantially co-located with the first computing device in a particular physical location;

joining the first computing device and the second computing device in a use session involving the particular program, wherein the use session is a collaborative analytics session, wherein the analytics application is to facilitate user analysis of a data set in the use session;

determining that the first computing device displays a first user interface of the particular program at a first instance of time, the first user interface to display a representation of the data set, in a first context in a plurality of contexts; and

causing the second computing device to display a second user interface at the first instance of time based at least in part on the first user interface using the first context, the second user interface to display a representation of the data set, in a second context in the plurality of contexts, wherein the second computing device displays the representation of the data set in the second context simultaneously with the first computing device displaying the representation of the data set in the first context;

receiving user input at the first computing device, the user input resulting in the first computing device displaying a modified representation of the data set in the first context; and

in response to receiving the user input at the first computing device, causing the second computing device to display a modified representation of the data set in the second context, wherein the modified representation of the data set in the second context displayed by the second computing device is based on the user input received at the first computing device.

23. The apparatus of claim 22, wherein the representation of the data set in the first context comprises first data based upon the data set and the representation of the data set in the second context comprises second data based upon the data set, the second data being different from the first data.

24. The apparatus of claim 22, wherein the user input specifies a data filtering operation to be performed on the data set.