repl.et - v1.0 – Initial Public Release: Reproducible Eye Tracking Framework

🚀 Repl.ET v1.0 – Initial Public Release

This is the first public release of Repl.ET, a framework to support the design, documentation, and replication of eye-tracking experiments in Software Engineering and HCI contexts.

🔧 What's Included

• 📁 Structured repository template
  Organize your experiment into standardized folders for metadata, stimuli, AOIs, raw/processed data, scripts, and results.

• 📑 JSON Schemas
  Formal, machine-readable definitions for:

  • Participant metadata
    
  • Task descriptions
    
  • Experimental setup
    
  • AOIs and stimuli
    
  • Metrics and results

• 🧪 Demo projects
  Example experiments illustrating best practices in documentation and replicability.

• 📜 README + usage guide
  Instructions for setting up a new study, filling out schemas, and exporting reproducible packages.

• 🧬 FAIR and Open Science alignment
  Structure designed to support transparency, interoperability, and reusability.

🧭 Who Is This For?

• Researchers using eye tracking in empirical studies
  
• Reviewers evaluating replicability and method transparency
  
• Educators teaching experimental design in SE or HCI
  
• Developers of replication tools and benchmarks

- Python
Published by fratelus 7 months ago