Protocol for measuring context-dependent cost-benefit decision-making in humans using a web application

We present a protocol for measuring naturalistic and normalized decision-making in humans across four contexts (approach-avoid, moral, social, and probabilistic) using a web application. We describe steps for session setup, eye tracker calibration, and heart rate monitoring. In each session, a participant encounters a story, rates rewards and costs relevant within that context, and then evaluates various cost-reward pairings in context. For complete details on the use and execution of this protocol, please refer to Rakocevic et al.¹