AI UI Generation From Chat Data for Real-Time Personalization
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Solution Overview
Problem
Conventional user interfaces (UIs) are not dynamically generated based on user chat data, lacking adaptability and personalization.
Innovation Solution
An AI-based system that analyzes user chat data to generate UI components using machine learning and blockchain technology, incorporating historical data and linguistic profiles for culturally sensitive and secure UI generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional static GUIs are used, then the interface structure is simple and easy to implement, but the adaptability to user preferences and cultural context is poor
Solution Approach 1:
The patent replaces conventional mechanical UI generation methods with AI-based machine learning models that automatically generate interfaces based on user chat data and linguistic profiles, eliminating the need for manual programming of adaptive UI logic
Solution Approach 2:
The system enables self-service by allowing the UI generation model to automatically analyze user chat data, extract features, and generate appropriate interfaces without requiring developer intervention or manual configuration of adaptation rules
2Productivity
If dynamic UIs with pre-set conditions are used, then some adaptability is achieved, but true real-time generation based on user chat data is not possible
Solution Approach 1:
The system continuously monitors and processes user chat data in real-time, maintaining an ongoing interaction loop where user input immediately triggers feature extraction, model inference, and UI generation without interruption or pre-set condition delays
Solution Approach 2:
The patent replaces conventional mechanical condition-based UI switching with AI machine learning models that continuously learn from user chat data and generate interfaces in real-time, enabling true adaptive response rather than pre-programmed reactions
3Adaptability or versatility
If AI-based real-time UI generation is implemented, then personalization and adaptability are significantly improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing user chat data to extract key classifying features and retrieving relevant historical chat data from databases before the actual UI generation occurs, reducing the computational burden during real-time inference
Solution Approach 2:
The patent extracts only the essential key classifying features from the user chat data, separating the important information from the bulk data, which allows the machine learning model to process only the critical features needed for UI generation, significantly reducing processing time
Data Source
AI summary
A system for an automated user interface (UI) generation based on analysis of chat-related data including a processor of a UI generation server node configured to host a machine learning (ML) module and connected to at least one user-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire user chat data from the at least one user-entity node; parse the user chat data to extract a plurality of key classifying features; query a UI database to retrieve local historical chats'-related data based on the plurality of key classifying features; generate at least one classifier vector based on the plurality of key classifying features and the local historical chats'-related data; provide the at least one classifier feature vector to the ML module configured to generate a predictive model for producing a set of UI generation recommendation parameters; and generate at least one UI component based on the set of UI generation recommendation parameters.