Using Biometrics to Understand AI-Assisted Coding Performance and its Perception
A multisite neurophysiological study reveals that AI-assisted programming fundamentally alters developers' cognitive processes differently than solo coding. Using EEG, eye-tracking, and biometric data, researchers found that AI assistance correlates with reduced cognitive engagement and changes how performance metrics align with physiological indicators, suggesting AI coding tools require distinct developer workflows and monitoring approaches.