Breaking face processing tasks apart to improve their predictive value in the real world: A comment on Ramon,Bobak, and White (2019)

In this commentary, I will expand on three aspects suggested by Ramon et al. (2019, British Journal of Psychology, 110, 461) to improve the predictive value of laboratory‐based tasks in real‐world applications. There are potential benefits that may arise from three interrelated considerations, particularly in terms of predicting agents’ susceptibility to errors in operational settings. The first is a proposal to conduct a detailed examination of performance on face processing tests rather than only analysing overall accuracy scores. The second involves considering non‐face‐related cognitive and meta‐cognitive sub‐processes involved in face processing tasks. The third highlights the contribution of superior recognisers in creating challenging tests that simulate difficult real‐world situations.