Natural Language Drawing Function Identification

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Solution Overview

Problem

In graphics applications, users face difficulties in identifying and applying appropriate drawing functions to implement suggested changes, leading to slowed collaboration and potential misapplication of functions due to complex menus and lack of user experience.

Innovation Solution

A machine learning model is used to identify drawing functions associated with suggested changes within comments, providing users with a presentation of the appropriate function and its parameters, reducing the need for manual search and increasing accuracy through confidence threshold validation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users manually search through complex menus to identify drawing functions, then they can find the required function, but the collaboration process is slowed down and user efficiency decreases

Engineering Contradiction:

Improvecollaboration efficiencyVSAvoidtime to identify drawing function

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent introduces an intermediary system (machine learning model and natural language processing interface) that translates user comments into identified drawing functions. This intermediary automatically matches comments with appropriate drawing functions, eliminating the need for users to manually search through complex menus and significantly reducing the time required to identify and apply the correct drawing function.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service by automatically analyzing user comments and autonomously identifying the appropriate drawing functions without requiring user intervention in the search process. The machine learning model independently processes comments, retrieves relevant drawing functions, and presents them to users, allowing the system to serve itself in the function identification task.

Inventive Principle:

Principle #25Self-service

2Productivity

If users apply drawing functions without sufficient experience or guidance, then the collaboration workflow continues, but the accuracy of function application decreases leading to potential misapplication

Engineering Contradiction:

Improvecollaboration workflow continuityVSAvoidaccuracy of drawing function selection

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent implements feedback mechanisms where the system analyzes user comments, identifies appropriate drawing functions, and presents them back to users for verification. This feedback loop allows users to see suggested functions and make corrections if needed, improving the accuracy of function selection while maintaining workflow continuity. The system learns from user corrections to improve future recommendations.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The intermediary system acts as a guide between the user and the complex drawing function library, translating natural language comments into accurate function identifications. This intermediary reduces the skill gap by providing intelligent suggestions that help inexperienced users select the correct functions without requiring deep knowledge of the application's extensive feature set.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If the drawing application provides extensive menus and drawing functions to handle diverse collaboration needs, then the system's versatility improves, but the complexity of the interface increases making it harder for users to find the right function

Engineering Contradiction:

Improverange of drawing functionsVSAvoidinterface complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts the function identification task from the complex interface and handles it through natural language processing. Instead of requiring users to navigate through extensive menus, the system extracts the essential intent from user comments and directly identifies the corresponding drawing functions, effectively removing the complexity of menu navigation while preserving access to the full range of drawing functions.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces the mechanical navigation system (mouse clicking through menus, manual searching) with an intelligent language processing system. Users communicate their needs through natural language comments, and the machine learning model translates these into function identifications, substituting the manual mechanical interaction with automated intelligent processing that simplifies the user experience while maintaining full functionality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12056800B1Drawing function identification in graphics applications

Publication Date: 2024.08.06 COREL CORP

AI summary

The subject matter of this specification can be implemented in, among other things, a method and a system to identify and apply drawing functions in graphics applications. The method includes receiving a comment having a suggested drawing change to an object in a document, where the comment includes natural language, and processing the comment to identify a drawing function associated with the suggested drawing change. The method further includes providing a drawing function for presentation to a user, receiving a user request to change a parameter associated with the drawing function, and changing the parameter of the drawing function to perform the suggested drawing change of the object in the document.