A novel approach to studying strategic decisions with eye-tracking and machine learning
We propose a novel method of using eye-tracking to study strategic decisions.The conventional approach is to hypothesize what eye-patterns should be observed if a given model of decision-making was accurate, and then proceed to verify if this occurs.When such hypothesis specification is difficult a priori, we propose instead to expose subjects to a