Modelling subjectivity and uncertainty in "real world" settings

Abstract

TOpen peer commentary on the article "Modeling Subjects' Experience While Modeling the Experimental Design: A Mild-Neurophenomenology-Inspired Approach in the Piloting Phase" by Constanza Baquedano & Catalina Fabar. Upshot: The authors show in their pilots how open it is to participants not to obey the instructions during an experiment. Their findings leave us to choose between two options: either we (a) accept that subjective confounds are inevitable and stronger than we think, but in this case, why should we continue trying to measure subjective experience?; or (b) strive at designing better experiments in order to control for these fluctuations. I will argue for option (b) and propose an alternative model to go beyond the first- and third-person data gap, namely "predictive processing."