Free-Text UI Editing for Faster Personalized Interface Design
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Solution Overview
Problem
The development of user interfaces is hindered by misalignment among cross-functional teams, resource intensity, and the inability to cater to diverse user needs, leading to subpar experiences and project failures.
Innovation Solution
Systems and methods for generating and editing user interfaces using free text and sketches, enabling hyper-personalization by analyzing textual inputs and sketches to create tailored user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user interfaces are manually developed by cross-functional teams, then the interfaces can be functionally complete, but the development process becomes lengthy and resource-intensive
Solution Approach 1:
The patent replaces the manual mechanical process of UI development by cross-functional teams with an automated AI system. The system uses natural language processing and machine learning models to automatically generate, personalize, and update user interfaces based on user feedback and behavior data, eliminating the need for manual coding and design iterations.
Solution Approach 2:
The system enables user interfaces to serve themselves by automatically adapting and personalizing based on user interactions. The AI model continuously learns from user feedback and autonomously generates personalized interface variations without requiring manual intervention from developers or designers for each customization.
2Ease of manufacture
If a single final version of user interface is produced for all users, then the development process is simplified, but diverse user needs and preferences are overlooked
Solution Approach 1:
The patent applies local quality by allowing different portions of the user interface to be customized according to individual user preferences and behaviors. The system generates personalized variations of specific UI elements (layout, color scheme, content prioritization) while maintaining the core functional structure, enabling tailored experiences without complete interface redesign for each user.
Solution Approach 2:
The system transforms static user interfaces into dynamic, adaptive interfaces that automatically adjust based on real-time user feedback and behavior patterns. The AI model continuously generates and updates personalized interface versions, allowing the UI to evolve and adapt to each user's unique needs and preferences over time.
3Adaptability or versatility
If hyper-personalization of user interfaces is implemented manually, then individual user needs can be addressed, but the complexity and scale make it impractical
Solution Approach 1:
The patent creates a universal AI-powered platform that handles multiple personalization functions simultaneously. The system processes user feedback, analyzes behavior patterns, generates personalized interfaces, and manages A/B testing all through a single integrated system, eliminating the need for separate manual processes for each personalization task and making hyper-personalization scalable.
4Manufacturing precision
If cross-functional teams collaborate extensively, then design vision can be accurately translated, but communication problems lead to misalignment and project failures
Solution Approach 1:
The patent introduces an AI system as an intermediary between user needs and interface implementation. The system accurately captures user feedback through natural language processing and systematically translates it into UI modifications, eliminating communication gaps and misalignment that occur in manual cross-functional team collaborations.
Data Source
AI summary
Systems, methods and non-transitory computer readable media for editing user interfaces from free text and/or sketches are provided. Digital data associated with a design of a user interface may be received. A presentation of the user interface based on the design may be caused. A selection of a portion of the user interface may be received. A textual input in a natural language and/or a sketch may be received. The textual input and/or the sketch may be analyzed to determine at least one change to a portion of the design of the user interface corresponding to the selected portion of the user interface. The determined at least one change may be implemented to generate a modified design of the user interface. A second presentation of the user interface based on the modified design may be caused.