Fig. 2
From: Masked face identification is improved by diagnostic feature training
Performance measures pre- and post-training for each training condition. a Area under the curve (AUC). b Response bias (criterion for declaring a match). c Sensitivity (d′), d overall accuracy (%). On all figures, unfilled circles represent individual data points (visualised in 1/30 bins by default), while the horizontal black lines represent the mean