SYSTEMS AND METHODS FOR CAPTURING AND VISUALIZING USER INTERACTIONS ACROSS DEVICES

• US 20190227824A1
• Filed: 01/22/2018
• Published: 07/25/2019
• Est. Priority Date: 01/22/2018
• Status: Active Grant

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: KUCHOOR, Santhosh Kumar
• Granted Patent: US 10,713,070 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/283 Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: G06F 9/45512 Command shells

Abstract

Systems and methods are disclosed for providing visualizations across devices of user interactions with a data analytics service. User interactions with a data analytics user interface on a first device are detected. Device agnostic commands are generated for performing the user interactions on a second device. The device agnostic commands are transmitted to a second device for replicating the user interactions on the second device.

Claims

1. A method for providing visualizations across devices of user interactions with a data analytics service, comprising:

detecting, by one or more data processors, the user interactions with a data analytics user interface on a first device, the user interactions being related to performing data analytics operations on the first device;

generating, by the one or more data processors, device agnostic commands as metadata and pseudocode script for performing the data analytics operations on a second device;

storing the device agnostic commands as a script in a computer-implemented storage device; and

transmitting to a second device the stored device agnostic commands for replicating the detected user interactions on a data analytics user interface on the second device, the second device being a different type of processor-implemented device than the first device.

2. The method of claim 1 further comprising:

generating the device agnostic commands as a pseudocode script for processing by a dashboard on the second device.

3. The method of claim 1, the first device and second device being two different devices selected from a group that includes mobile computing platforms, mobile accessories, desktops, and tablets.

4. The method of claim 1 further comprising:

generating device agnostic commands as metadata and pseudocode script that indicate information provided to the data analytics service through the detected user interactions; and

storing the device agnostic commands using pseudocode script in in-memory or a non-volatile memory for transmitting to the second device.

5. The method of claim 1 further comprising:

generating device agnostic commands as metadata and pseudocode script that indicate selection of user interface controls on the user interface of the first device;

activating a start recording button to initiate the detecting of the user interactions; and

activating a stop recording button to cease the detecting of the user interactions.

6. The method of claim 1 further comprising:

transmitting over a common communication channel the stored device agnostic commands to the second device, the second device being associated with a user that is different than a user associated with the first device.

7. The method of claim 1 further comprising:

transmitting over a common communication channel the stored device agnostic commands to the second device, the second device being associated with a user that is the same as the user associated with the first device.

8. The method of claim 1 further comprising:

simultaneously replaying the stored device agnostic commands on different data sets in parallel for comparison analysis.

9. The method of claim 1, the transmitting being configurable to allow sharing of the stored device agnostic commands with other devices whose user interfaces are configurable to process directly the transmitted device agnostic commands.

10. The method of claim 9, the transmitted device agnostic commands being transmitted through a shared feed provided on the communication channel to which the other devices navigate;

the transmitted device agnostic commands being provided for automatic playback of the user interactions on the other devices.

11. A system comprising a hardware processor and non-transient computer readable media coupled to the processor for providing visualizations across devices of user interactions with a data analytics service, the non-transient computer readable media comprising instructions configurable to be executed by the processor to:

detect the user interactions with a data analytics user interface on a first device, the user interactions being related to performing data analytics operations on the first device;

generate device agnostic commands as metadata and pseudocode script for performing the data analytics operations on a second device;

store the device agnostic commands as a script in a computer-implemented storage device; and

transmit to a second device the stored device agnostic commands for replicating the detected user interactions on a data analytics user interface on the second device, the second device being a different type of processor-implemented device than the first device.

12. The system of claim 11, wherein the computer-implemented storage device stores the device agnostic commands as a pseudocode script for processing by a dashboard on the second device.

13. The system of claim 11, wherein the first device and second device are two different devices selected from a group that includes mobile computing platforms, mobile accessories, desktops, and tablets.

14. The system of claim 11, wherein the computer-implemented storage device stores the device agnostic commands as metadata and pseudocode script that indicate information provided to the data analytics service through the detected user interactions;

wherein the device agnostic commands using pseudocode script are stored in in-memory or a non-volatile memory for transmitting to the second device.

15. The system of claim 11, wherein the computer-implemented storage device stores generating device agnostic commands as metadata and pseudocode script that indicate selection of user interface controls on the user interface of the first device;

wherein the instructions configurable to be executed by the processor further comprise;

generating a start recording button to initiate the detecting of the user interactions; and

generating a stop recording button to cease the detecting of the user interactions.

16. The system of claim 11, wherein the second device is associated with a user that is different than a user associated with the first device.

17. The system of claim 11, wherein the second device is associated with a user that is the same as the user associated with the first device.

18. The system of claim 11,

the transmitting being configurable to allow sharing of the stored device agnostic commands with other devices whose user interfaces are configurable to process directly the transmitted device agnostic commands.

19. The system of claim 18,

the transmitted device agnostic commands being transmitted through a shared feed provided on the communication channel to which the other devices navigate;

the transmitted device agnostic commands being provided for automatic playback of the user interactions on the other devices.

20. A non-transient computer readable storage media comprising computer instructions configurable to be executed by a hardware processor to cause a data analytics system to implement a method comprising:

detecting, by one or more data processors, the user interactions with a data analytics user interface on a first device, the user interactions being related to performing data analytics operations on the first device;

generating, by the one or more data processors, device agnostic commands as metadata and pseudocode script for performing the data analytics operations on a second device;

storing the device agnostic commands as a script in a computer-implemented storage device; and

transmitting to a second device the stored device agnostic commands for replicating the detected user interactions on a data analytics user interface on the second device, the second device being a different type of processor-implemented device than the first device.