Natural Language UI Tuning for Personalized Interface Generation

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Solution Overview

Problem

The development of user interfaces is hindered by misalignment among team members due to varying interpretations of design specifications, leading to user dissatisfaction, functional errors, and project delays, and lacks personalization to cater to diverse user needs and preferences.

Innovation Solution

Systems and methods for generating and editing user interfaces using natural language and sketches, enabling hyper-personalization by analyzing textual inputs and sketches to create tailored user interfaces for individual users, and allowing iterative modifications through chat-based interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If multiple cross-functional team members collaborate on user interface development, then the quality and functionality of the user interface is improved, but communication misalignment and project complexity increase

Engineering Contradiction:
Improveuser interface qualityVSAvoidproject complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent introduces an AI system as an intermediary that all team members interact with through natural language. This mediator translates diverse team inputs into consistent design decisions, maintaining high UI quality while reducing direct communication complexity among team members.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements continuous feedback loops where the AI analyzes team inputs, generates recommendations, and allows iterative refinement. This structured feedback mechanism aligns team interpretations while maintaining design quality without requiring complex direct negotiations.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If manual techniques are used to create user interfaces, then customization to user needs is possible, but the development process is lengthy and resource-intensive

Engineering Contradiction:
Improveuser personalizationVSAvoiddevelopment speed
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent enables users to directly interact with the AI system to generate and customize their own user interfaces through natural language descriptions. This self-service approach allows high personalization without requiring manual intervention from developers, thus maintaining adaptability while dramatically improving productivity.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The AI system pre-processes user requirements and generates initial interface designs automatically before any manual refinement. This preliminary action captures the essence of user needs early, enabling rapid personalization while reducing subsequent development time and resources.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If a single final version of user interface is produced for all users, then development resources are conserved, but user satisfaction and engagement are reduced

Engineering Contradiction:
Improvedevelopment efficiencyVSAvoiduser satisfaction
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent generates user interfaces with locally optimized qualities for different user segments or individuals. The AI system analyzes specific user characteristics and tailors interface elements accordingly, maintaining development efficiency through automated generation while achieving high user satisfaction through personalized local adaptations.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250342019A1Tuning User Interfaces via Natural Language
Publication Date: 2025.11.06 TWEAK COMMERCE INC
  • US20250342019A1 patent drawing
  • US20250342019A1 patent drawing
  • US20250342019A1 patent drawing

AI summary

Systems, methods and non-transitory computer readable media for generating and editing user interfaces via natural language inputs are provided. Digital data associated with a first version of a design of a user interface may be received. The first version may be associated with a level. The digital data may be used to cause a first presentation of the user interface, based on the first version of the design, to an individual. An input in a natural language may be received from the individual. The input may be associated with a desire of the individual to adjust the level. The input may be analyzed to generate a second version of the design of the user interface. The second version may be associated with an adjusted level. A second presentation of the user interface to the individual, based on the generated second version of the design, may be caused.