Dynamic User Interface Generation for Enhanced Human-Computer
Interaction Using Variational Autoencoders
Dynamic User Interface Generation for Enhanced Human-Computer
Interaction Using Variational Autoencoders
This study presents a novel approach for intelligent user interaction interface generation and optimization, grounded in the variational autoencoder (VAE) model. With the rapid advancement of intelligent technologies, traditional interface design methods struggle to meet the evolving demands for diversity and personalization, often lacking flexibility in real-time adjustments to enhance …