Adaptive UI Generation Using LLMs for Cross-Platform Native Experiences
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Solution Overview
Problem
Existing user interfaces, particularly for mobile devices, are inflexible and require hard-coded mappings and predefined rules, leading to inconsistent user experiences across different devices and the need for separate application development and updates.
Innovation Solution
Implement a system that utilizes a large language model (LLM) to dynamically generate user interface screens by caching UI responses and determining triggering conditions, generating key-value pairs with priority levels to create adaptive and dynamic UI displays based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hard-coded mappings and predefined rules are used to design user interface screens, then the user interface can provide a convenient and intuitive user experience, but the user interface becomes inflexible and requires separate development and maintenance for different operating systems
Solution Approach 1:
The patent implements a universal user interface system that can adapt to multiple operating systems (iOS, Android, Windows) through a single codebase. The system uses an LLM to dynamically generate platform-specific UI configurations based on the detected operating system, eliminating the need for separate applications while maintaining native appearance and function across all platforms.
Solution Approach 2:
The patent introduces dynamic adaptability by using a large language model to generate user interface configurations in real-time based on the detected operating system. Instead of static hard-coded mappings, the system dynamically adjusts UI parameters, layout rules, and interaction patterns to match the specific platform requirements, enabling a single application to behave natively across different operating systems.
2Reliability
If separate applications are built and maintained for different operating systems to provide native appearance and function, then each application can be optimized for its specific platform, but the development complexity and maintenance burden increase
Solution Approach 1:
The patent creates a single universal application that can run on multiple operating systems (iOS, Android, Windows) by using an LLM to generate platform-specific UI configurations. This eliminates the need to develop and maintain separate applications for each platform while still achieving native appearance and function through dynamic adaptation to each operating system's conventions.
Solution Approach 2:
The patent introduces a large language model as an intermediary between the core application logic and the various operating systems. The LLM detects the target platform and generates appropriate UI configurations, acting as a mediator that translates the universal application logic into platform-specific implementations, thereby reducing development complexity while maintaining native integration.
3Productivity
If updates to an application's user interface are sent via an application marketplace, then users can receive updated functionality, but users must manually update the application to enable the updated user interface
Solution Approach 1:
The patent implements preliminary action by pre-configuring multiple operating system-specific user interface templates and rules within the application. When the application is updated, these pre-configured templates are automatically detected and applied by the LLM based on the user's platform, eliminating the need for users to manually update or configure anything. The system proactively handles the entire update process in the background.
Solution Approach 2:
The patent enables self-service by allowing the application to automatically detect the operating system platform and self-configure the appropriate UI parameters and layout rules using the embedded LLM. The system performs updates autonomously without requiring user intervention, automatically adapting the interface to match the platform conventions while maintaining consistency across different operating systems.
Data Source
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AI summary
Certain aspects of the disclosure provide an adaptive content management system configured to generate dynamic user interfaces. In certain aspects, methods for adaptive content management include caching user interface data, including user interface responses to user interaction with the user interface, and other user interface data and providing such cached user interface data to a large language model (LLM) to generate a dynamic user interface screen based on a plurality of key-value pairs indicating user interface objects for display on the dynamic user interface screen.