We will perform the three data analyzes as required and described in the main protocol. Specifically, we will compute (1) a Chi-Square test comparing the percentage of correct identification in the experimental and control condition as well as (2) a Chi-square test comparing the ratio of the percentage selecting the wrong face (misidentification) to the percentage indicating “not present” across the experimental and control conditions. Finally, we will (3) compute a 2 (Condition: control vs. experimental) x 2 (line-up choice: correct vs. incorrect) ANOVA on confidence ratings.