SYSTEM FOR ACCESSING SOFTWARE FUNCTIONALITY

• US 20140115456A1
• Filed: 03/15/2013
• Published: 04/24/2014
• Est. Priority Date: 09/28/2012
• Status: Abandoned Application

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: White, Brent-Kaan William, Vilrokx, Mark, Hackman, George Matthew Jr.
• Application Number:
  US13/842,982
• Publication Number:
  US 20140115456A1
• Time in Patent Office: Days
• US Class Current: 715/708
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A system and method for facilitating user access to software functionality, such as enterprise-related software applications and accompanying actions and data. An example method includes receiving natural language input; displaying electronic text representative of the natural language input, in a conversation flow illustrated via user interface display screen; interpreting the natural language input and determining a command representative thereof; employing the command to determine and display a prompt, which is associated with a predetermined set of one or more user selectable items; providing a first user option to indicate a user selection responsive to the prompt; and inserting a representation of the user selection in the conversation flow. In a more specific embodiment, the first user option is provided via an input selection mechanism other than natural language, e.g., via a touch gesture, such that the conversation flow includes text representing user input other than purely text or voice-based input.

Claims

1. A method for facilitating user access to software functionality, the method comprising:

receiving first natural language input;

displaying electronic text representative of the first natural language input, in a conversation flow illustrated via a user interface display screen;

interpreting the natural language input and determining a command representative thereof;

employing the command to determine and display a first prompt, which is associated with a predetermined set of one or more user selectable items;

providing a first user option to indicate a user selection responsive to the first prompt; and

inserting a representation of the user selection in the conversation flow.

2. The method of claim 1, wherein providing includes providing the first user option to indicate a user selection via an input mechanism that is adapted to receive input other than natural language.

3. The method of claim 2, wherein the input mechanism includes touch input applied to a displayed list of user selectable items.

4. The method of claim 2, wherein the representation of the user selection includes electronic text that is inserted after the electronic text representative of the first natural language input.

5. The method of claim 1, wherein providing includes providing the first user option to indicate a user selection via an input mechanism that includes natural language input.

6. The method of claim 1, further including displaying a second prompt inserted in the conversation flow after the representation of the user selection, and providing a second user option to provide user input responsive to the second prompt via second natural language input, and inserting a representation of the second natural language input into the conversation flow after the second prompt.

7. The method of claim 1, wherein interpreting further includes determining that the command represents a request to view data, and further includes determining a type of data that a user requests to view, and displaying a representation of requested data in response thereto.

8. The method of claim 7, wherein the type of data includes data pertaining to a customer, and opportunity, an appointment, task, interaction, or note.

9. The method of claim 1, wherein interpreting further includes determining that the user command represents a request to create a computing object, wherein the computing object includes data pertaining to a task, an appointment, a note, or an interaction.

10. The method of claim 1, wherein interpreting includes referencing a repository of user data, including speech vocabulary previously employed by the user, to facilitate estimating user intent represented by the first natural language input.

11. The method of claim 10, wherein employing includes referencing a previously accessed computing object to facilitate determining the prompt.

12. The method of claim 1, wherein the user selection identifies a computing object to be created, or data of which is to be displayed, wherein the computing object is maintained via an Enterprise Resource Planning (ERP) system.

13. The method of claim 12, further including providing one or more additional prompts adapted to query the user for input specifying one or more parameters for input to a Web service to be called to create a computing object.

14. The method of claim 13, further including employing one or more ERP servers to provide the Web service and employing a client computer to display the conversation flow and to receive natural language input.

15. The method of claim 14, wherein the method further including providing metadata from the server to the mobile computing device to adjust a user interface display screen illustrated via the mobile computing device.

16. The method of claim 1, further including associating one or more Web services with the conversation flow based on the natural language input, and wherein the prompt includes one or more questions, responses to which represent user selections that provide answers identifying one or more parameters to be included in one or more Web service requests.

17. The method of claim 16, wherein the one or more parameters includes a customer identification number, an opportunity identification number, or an indication of an interaction type.

18. The method of claim 1, further including:

determining a type of interaction to be implemented via the conversation flow based on the first natural language user input;

determining a form applicable to the type of interaction, wherein the form is associated with updatable metadata characterizing one or more fields of the form or data thereof;

ascertaining one or more user prompts to display via a client device in the conversation flow in response to user input responsive to the one or more prompts and based on the form and associated metadata;

populating the form with data based on the user input responsive to the one or more prompts and automatically generated form input based on the metadata; and

inputting data from the form to software that is adapted to implement an action associated with the type of interaction.

19. An apparatus comprising:

a digital processor coupled to a display and to a processor-readable storage device, wherein the processor-readable storage device includes one or more instructions executable by the digital processor to perform the following acts;

receiving natural language input;

displaying electronic text representative of the natural language input, in a conversation flow illustrated via user interface display screen;

interpreting the natural language input and determining a command representative thereof;

employing the command to determine and display a prompt, which is associated with a predetermined set of one or more user selectable items;

providing a first user option to indicate a user selection responsive to the prompt; and

inserting a representation of the user selection in the conversation flow.

20. A processor-readable storage device including instructions executable by a digital processor, the processor-readable storage device including one or more instructions for:

receiving natural language input;

displaying electronic text representative of the natural language input, in a conversation flow illustrated via user interface display screen;

interpreting the natural language input and determining a command representative thereof;

employing the command to determine and display a prompt, which is associated with a predetermined set of one or more user selectable items;

providing a first user option to indicate a user selection responsive to the prompt; and

inserting a representation of the user selection in the conversation flow.