UI Auto-Completion via Component Similarity Matching
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Solution Overview
Problem
Users face difficulty in finding suitable UI design examples among billions of existing designs, lacking an effective method to leverage these examples for creating their own UI designs.
Innovation Solution
A system and method for automatically completing a partially completed user interface design by identifying and incorporating similar UI components from example designs, using a combination score to categorize similarity and provide transformation costs for adding, deleting, or modifying components, with user confirmation for selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually search through billions of existing design examples to find suitable UI designs, then they can potentially find diverse design options, but the time and effort required becomes prohibitively large
Solution Approach 1:
The patent replaces the manual mechanical search process with an automated computer-based system that uses image processing and pattern recognition algorithms to automatically analyze and match UI components from design examples, eliminating the need for users to manually browse through billions of designs while maintaining access to diverse design options
Solution Approach 2:
The system enables self-service by automatically completing UI design tasks for users based on their partial inputs. The auto-completion feature autonomously searches, selects, and integrates appropriate UI components from the design example database without requiring active user intervention, thus resolving the contradiction between accessing diverse designs and spending excessive time
2Manufacturing precision
If the system incorporates more UI components from example designs into incomplete designs, then the completeness and quality of generated designs improve, but the complexity of the system increases
Solution Approach 1:
The patent segments the UI design completion process into distinct modular components: image processing module, pattern recognition module, component matching module, and integration module. Each module handles a specific aspect of the task independently, which maintains system completeness while managing complexity through functional decomposition
Solution Approach 2:
The system implements a universal component library and standardized matching algorithms that can handle multiple types of UI components (buttons, forms, layouts, etc.) through a single integrated framework. This multi-functional approach enables the system to achieve high design completeness across different component types without proportionally increasing system complexity
3Manufacturing precision
If the system provides more auto-complete suggestions and options to users, then the user's ability to create high-quality UI designs improves, but the ease of operation decreases due to more selection choices
Solution Approach 1:
The system applies partial action by providing a curated subset of the most relevant auto-complete suggestions rather than displaying all possible options. The pattern recognition algorithm ranks and filters suggestions to present only the top matches, thereby maintaining high design quality while avoiding overwhelming users with excessive choices
Solution Approach 2:
The system incorporates feedback mechanisms where user selections and modifications are analyzed to refine future suggestions. The system learns from user interactions to prioritize and personalize auto-complete options, improving design quality over time while gradually simplifying the selection process based on individual user preferences and behavior patterns
Data Source
AI summary
Techniques for automatically completing a partially completed UI design created by a user are described. A UI query including attributes of UI components in the partially completed UI design is created. Design examples with similar UI components are identified. UI components of one such design example are displayed to automatically complete the partially completed UI design (also called an “auto-complete suggestion”). The user can systematically navigate the design examples and accept auto-completed suggestions to include into the partially complete UI design.