A Bayesian Framework for Modeling Confidence in Perceptual Decision MakingA Bayesian Framework for Modeling Confidence in Perceptual Decision MakingKhalvati, Koosha and Rao, Rajesh P.2015
Paper summarynipsreviewsThe authors' model confidence data from two experiments (conducted by others and previously published in the scientific literature) using a POMDP. In both experiments, subjects saw a random-dot kinematogram on each trial and made a binary choice about the dominant motion direction. The first experiment used monkeys as subjects and stimuli had a fixed duration. The second experiment used people as subjects and stimuli continued until a subject made a response. The paper reports that the POMDP model does a good job of fitting the experimental data, both the accuracy data and the confidence data.