Tracking contemporary digital behavior
Large language models analyze how users seek, scan, and share information, using computational analysis of public platforms to identify emerging engagement patterns.
 

Designing AI-driven engagement interfaces
Applying the model by designing new AI-assisted interfaces that operationalize and extend the Digital Engagement Model in real-world environments.
 

Testing and validating impact
Rigorously evaluating new audience data and interfaces through eye-tracking, controlled experiments, and iterative testing to measure attention, selection, and retention.