Getting Away with Fake IDs?: Effects of Decision Time and Difference Prevalence on Face-Matching Errors

Face matching is deciding whether two facial images depict the same person or different people. Two experiments examined effects of image-size disparity on face-matching accuracy, in conjunction with two ecologically-valid factors: limited decision time and low prevalence of different-people trials. Results are promising for catching fake IDs in real-world settings.