Cognitive UI

A neural interface system that learns user behavior patterns to optimize UI layouts in real-time.

View All Projects

Overview

Concept

Cognitive UI is an AI-driven interface that dynamically adjusts layouts based on user behavior analytics. By observing how users interact with digital content, it automatically optimizes element placement and flow for maximum usability.

  • Adaptive layout adjustments in real-time
  • Predicts user attention patterns
  • Machine learning trained on over 100k interactions

Technology

Neural Network (LSTM)
Real-time Behavioral Tracking
Dynamic Element Placement

Trained with TensorFlow.js using 5 million user interaction patterns

How it Works

1

Data Collection

Tracks cursor movement, click patterns, and attention focus through browser events.

2

Pattern Recognition

Processes data through a neural network to detect interface interaction patterns.

3

Adaptive Layout

Applies learned patterns to automatically adjust UI elements for increased usability.

Experience Cognitive UI

Interactive Demo

Explore how the interface adapts by hovering and scrolling around this demo area. Watch how elements rearrange to match perceived user focus.

[LOADING]

Why Cognitive UI Matters

Cognitive UI represents a major advancement in human-computer interaction. By making interfaces responsive to real-time user behavior, we create digital experiences that adapt rather than disrupt - creating a more natural flow for users while maintaining optimal information density.

86%

Increased task completion rate

42%

Reduced user errors in interface navigation

3.8x

Faster learning curve acquisition

Ready to Experience the Future of UI?

Join our early access program to test Cognitive UI in your applications.

* We'll notify you when public beta begins