AdaptiveWeb 🌐

Real-Time Intelligent UI Adaptation via Micro-Behavior Analysis

A modular browser extension + backend system that detects user micro-behaviors and adapts web interfaces in real time using rule-driven intelligence.

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📌 What is AdaptiveWeb?

AdaptiveWeb is an intelligent UI adaptation layer that observes user micro-behaviors (scrolling, hovering, cursor hesitation, dwell time) and dynamically adjusts web interfaces to reduce cognitive load and improve navigation efficiency.

Unlike traditional personalization tools, AdaptiveWeb:

• Works without user configuration
• Operates non-intrusively
• Adapts interfaces in real time
• Uses rule-based intent inference, not invasive tracking

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🎯 Core Capabilities

• Detects user intent from behavior signals
• Applies contextual UI adaptations
• Supports client-only mode and rule-driven backend mode
• Designed for high performance & privacy

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✨ Key Features

🎨 Hover Dwell Highlight

Highlights content the user is actively reading.

• Trigger: Hover > 1500 ms
• Effect: Soft highlight with fade-out
• Goal: Visual confirmation of focus

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📋 Scroll-Back Auto Summary

Displays a contextual summary when users scroll back.

• Trigger: Scroll down → quick scroll up
• Effect: Floating summary overlay
• Goal: Reduce re-reading effort

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⚡ Rapid Skimming (TL;DR Mode)

Condenses long content during fast scrolling.

• Trigger: Multiple rapid scrolls
• Effect: Paragraphs collapse with “Read more”
• Goal: Faster information scanning

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🤔 Cursor Hesitation Assistance

Detects uncertainty and offers guidance.

• Trigger: Low cursor variance / circular movement
• Effect: Suggestion bubble near cursor
• Goal: Reduce friction & confusion

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🧠 High-Level Architecture

Browser (Client)
 └─ Chrome Extension
     ├─ Behavior Detection Modules
     ├─ Intent Inference Engine
     ├─ UI Adaptation Layer
     ├─ Local Analytics Buffer
     └─ Upload Scheduler
          ↓
Backend (Optional)
 ├─ API Gateway
 ├─ Analytics Ingestion
 ├─ Pattern Analysis Jobs
 ├─ Rule Generator
 └─ MongoDB (Adaptation Rules)
          ↓
Partner Integration
 └─ AdaptiveWeb SDK / UI Adaptation Engine

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� Architecture Diagram

Full system flow including client, backend, jobs, and partner integration.

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🧱 Component Breakdown

Layer	Component	Responsibility
Client	Behavior Detection	Capture scroll, hover, cursor signals
Client	Intent Inference Engine	Rule-based intent classification
Client	UI Adaptation Layer	DOM & CSS mutations
Client	Local Storage	IndexedDB + Chrome Storage
Client	Upload Scheduler	Batched analytics uploads
Backend	API Gateway	Secure ingestion endpoint
Backend	Analytics Service	Event processing
Backend	Job Processing	Pattern analysis & rule generation
Backend	MongoDB	Adaptation rules & summaries
Partner	SDK / UI Engine	Rule-driven UI application

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📁 Project Structure

adaptiveweb/
├── extension/
│   ├── manifest.json
│   ├── content_script.js
│   ├── injected.js
│   ├── injected.css
│   └── icons/
│
├── backend/
│   ├── api-gateway/
│   ├── analytics-service/
│   ├── jobs/
│   └── database/
│
├── docs/
│   ├── PRD.md
│   ├── ARCHITECTURE.md
│   ├── SECURITY.md
│   └── TESTING.md
│
├── demo/
│   ├── index.html
│   └── test.js
│
└── README.md

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🚀 Installation (Chrome Extension)

git clone https://github.com/yourusername/adaptiveweb.git
cd adaptiveweb

1. Open chrome://extensions
2. Enable Developer Mode
3. Click Load unpacked
4. Select the extension/ directory

✅ AdaptiveWeb activates automatically on all pages.

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⚙️ Configuration

window.AdaptiveWeb.init({
  hoverDelay: 1500,
  highlightDuration: 3000,
  scrollBackWindow: 3000,
  skimScrollCount: 3,
  tldrLength: 120,
  cursorBufferSize: 20,
  varianceThreshold: 5000,
  debug: false
});

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📊 Performance Targets

Metric	Target
Script load	< 100 ms
Memory usage	< 5 MB
Scroll FPS	60 FPS
Event throttling	Yes
DOM safety	WeakMap-based

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🔒 Privacy & Security

• ✅ Client-side first architecture
• ✅ No raw user data stored
• ✅ No third-party trackers
• ✅ Batched + anonymized analytics
• ✅ API key validation (backend)

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🧪 Testing

cd demo
python -m http.server 8000

Test scenarios:

• Hover dwell → highlight
• Scroll back → summary
• Rapid scroll → TL;DR
• Cursor hesitation → suggestion

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🛣️ Roadmap

Phase 2

• ML-based intent scoring
• Personal behavior baselines
• Accessibility-focused adaptations

Phase 3

• Rule editor dashboard
• AI summarization (optional)
• Cross-site adaptation profiles

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🤝 Contributing

1. Fork the repo
2. Create a feature branch
3. Commit clean, documented code
4. Open a Pull Request

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📄 License

MIT License © AdaptiveWeb

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📬 Contact

For feedback, ideas, or collaboration — open an issue.

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AdaptiveWeb — Making the web adapt to humans, not the other way around. 🌐✨