File:Developing-Bayesian-adaptive-methods-for-estimating-sensitivity-thresholds-(d′)-in-Yes-No-and-Video3.ogv

English: The qYNR method applied in rated detection. The upper panels present the true and estimated psychometric functions (left), the trial sequence (middle), and calculation of the pre-trial stimulus selection algorithm (right). The lower panels represent sensitivity and decision parameter estimates, via the 2-d marginal pdfs defined over (1) sensitivity parameters (threshold and steepness), and (2) decision criteria: the strict criterion, and the z-score difference between the strict and lax criteria. In the upper left panel, the true empirical psychometric functions (Yes and No; blue) are presented with updating qYNR estimates (red). In the trial sequence, the signal contrast selected for each trial is represented by the dot's position on the ordinate, and the trial's outcome (Yes, No, and Not Sure responses) is represented by dot's color (red, blue, and green). The shaded regions represent the 65% (dark red) and 95% (lighter red) confidence intervals for sensitivity threshold estimates, as a function of trial number.