Natural Language UI Framework for Automated Component Generation

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Solution Overview

Problem

User interface design and development is inefficient and time-consuming due to the need for specific programming or design for each component, and existing interfaces lack contextual support, requiring users to open multiple windows or tabs to cross-reference information.

Innovation Solution

Integrating user interfaces and user interface builder tools with natural language models, allowing components to be specified and generated using natural language, and providing contextual information dynamically updated based on user interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional programming and design methods are used for each user interface component, then customization and precision are improved, but development time and complexity increase

Engineering Contradiction:

Improvecomponent customization precisionVSAvoiddevelopment time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent replaces traditional mechanical programming processes with an AI language model-based system. Instead of manually coding each UI component with specific programming languages and design tools, the system uses natural language processing to generate component code automatically. This substitution dramatically reduces development time while maintaining customization capabilities through the AI model's ability to interpret natural language requirements and generate precise component implementations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service UI development where the AI language model autonomously generates, modifies, and optimizes user interface components based on natural language input. The model serves itself by automatically translating design requirements into functional code without requiring manual programming intervention, thereby reducing both development time and the need for specialized programming expertise while maintaining component precision.

Inventive Principle:

Principle #25Self-service

2Loss of information

If multiple windows or tabs are opened to cross-reference information between applications, then contextual support is improved, but memory consumption and computing resources increase

Engineering Contradiction:

Improvecontextual information availabilityVSAvoidmemory consumption

Core Design Contradiction:

Loss of informationVSUse of energy by moving object

Solution Approach 1:

The patent merges the functionality of multiple separate application windows into a single integrated user interface. The system consolidates contextual information from what would traditionally require multiple tabs or windows into one unified interface, allowing users to access related information across applications without opening separate windows. This merging reduces memory consumption while maintaining comprehensive contextual support through the integrated display of cross-referenced information.

Inventive Principle:

Principle #5Merging (Combining)

3Reliability

If traditional user interface design methods are used, then component functionality is achieved, but design efficiency and productivity are reduced

Engineering Contradiction:

Improvecomponent functionalityVSAvoiddesign efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent replaces traditional manual UI design mechanics with AI-based automated generation. The language model automatically generates functional UI components from natural language descriptions, eliminating the need for manual programming while ensuring reliable functionality through the model's trained understanding of UI patterns and best practices. This substitution maintains component reliability while dramatically improving design efficiency and developer productivity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs preliminary action by pre-training the language model on extensive UI design patterns, coding standards, and functional requirements. This preliminary preparation enables the model to rapidly generate reliable, functional UI components without requiring developers to perform time-consuming manual design and coding tasks. The pre-trained knowledge base allows the system to produce reliable components efficiently, improving both functionality assurance and design productivity.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250028759A1User Interface Framework for Enhancing Content with Language Model Interactions

Publication Date: 2025.01.23 SERVICENOW INC

AI summary

An example may involve receiving a request to generate a user interface component, wherein the request indicates data usable to populate the user interface component; generating a prompt for a natural language model based on the request and the data; receiving, from the natural language model, a representation of the user interface component based on the prompt; and providing the representation of the user interface component for display.