Dynamic User Interface Generation via Component Segmentation
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Solution Overview
Problem
Many entities lack the expertise to generate effective user interfaces, as they require both coding and design skills, limiting access to customized and high-quality interfaces.
Innovation Solution
A component-based system that automatically generates user interfaces using machine learning techniques, grouping and formatting user input data into known component types, allowing for customization without manual coding or design expertise, and identifying duplicate designs for merging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user interfaces are generated by multiple skilled designers using coding and design techniques, then the quality and customization of user interfaces are improved, but the complexity and cost of development increase
Solution Approach 1:
The patent segments the user interface development process into distinct components: template selection, data binding, and automatic generation. By dividing the complex task of UI creation into manageable segments, entities can customize interfaces by selecting and configuring individual components without needing comprehensive coding expertise.
Solution Approach 2:
The patent introduces an intermediary system (the automatic generation system) that mediates between the entity's requirements and the final user interface. This intermediary handles the complex coding and design transformations, allowing entities to specify their needs in simpler terms while the system translates these into professional-grade interfaces.
2Productivity
If generic templates are used for user interfaces, then the development time and cost are reduced, but the customization and quality are compromised
Solution Approach 1:
The patent enables local quality by allowing entities to maintain generic templates for standard interfaces while applying customized elements only where needed. The system supports mixing template-based generation with specific customizations in different parts of the interface, optimizing both efficiency and adaptability.
Solution Approach 2:
The patent implements preliminary action by pre-defining templates and component structures that can be reused across multiple interfaces. This preliminary preparation work is done once and then leveraged repeatedly, maintaining high productivity while allowing customization through configuration rather than recreation.
3Ease of operation
If entities without coding or design expertise attempt to generate user interfaces, then accessibility is improved, but the quality and effectiveness deteriorate
Solution Approach 1:
The patent implements self-service by enabling entities to generate their own user interfaces using the automatic generation system without requiring external design or coding expertise. The system provides tools and templates that allow non-experts to create professional-quality interfaces through configuration and selection rather than manual coding.
Solution Approach 2:
The patent replaces the mechanical system of manual coding and design with an automated generation system. Instead of requiring entities to physically write code and design layouts, the system automatically generates interfaces based on specified requirements, substituting complex manual processes with automated intelligence.
Data Source
AI summary
Techniques are disclosed relating to predicting events based on automation parameters and initiating a procedure to request user input. In some embodiments, the system automatically selects one or more component types to display an interface to request the user input, e.g., based on user interface elements associated with the procedure. These component-based techniques may be used to imitate another interface while automatically formatting the input data without a known template.