REACT II: Researching Eye Tracking to Assess Community Trust
We aim to understand the relationship between an individual's perceived trust in a source and eye tracking metrics, enabling public health institutions to improve dissemination of important messaging and alerts. By using survey methods, collecting eye tracking data, and conducting analysis using python, we will investigate the impact of gain-framed and loss-framed public health messaging on trust.
Intern: Pallavi Deroy and Kavya Zaveri
Mentor: Julie Burroughs, Anna McCulloh, and Jorge Rivera (AOS)