Optimal decision agents? Biases during voluntary information sampling using eye-tracking

This thesis aims to understand the policy by which humans sample information, and how this policy influences perceptual decision-making. We will address this question using a variety of methods, including behavioural measures, computational modelling, and eye tracking. First, we will highlight the importance of considering an explicit information sampling policy as an integral component of the decision-making process. Secondly, we will focus on the determinants of this information sampling policy. Finally, we will address potential methodological concerns and provide a novel analysis approach to combat these concerns.