Stopper AI: What can we predict?

AI-Based Visual Intelligence

Stopper AI evaluates visual and video content through artificial intelligence and computational analysis, following the Stopper methodology. It does not only produce a score; it aims to explain the reasons behind attention performance.

The current system runs on nine analytic layers.

• Eye Tracking & Attention Simulation
• EEG Attention Simulation
• Saliency
• Composition & Hierarchy
• Heatmap
• Typography
• Color & Contrast
• Negative Space
• Analyze Layer

Why does this visual attract attention, or why does it not?

Stopper AI predictions are compared with real human responses measured in Stopper Lab. Over time this comparison feeds model validation and better Stopper models.