Crossed-categorization, evaluation, and face recognition

We investigated the relationship between evaluative intergroup bias and biased errors in intergroup face recognition after crossed-categorization (the combination of two social categories in defining a target of perception). Although evaluative bias and recognition bias often operate in parallel, we draw on two previously unconnected literatures to predict a divergence between these two processes after crossed-categorization. We tested this hypothesis by assessing participants’ evaluations of and recognition of targets who shared two ingroups with participants, targets who shared only one ingroup with participants, and targets who shared neither ingroup. Consistent with predictions, targets’ shared and unshared group memberships combined additively to affect evaluation, but targets who shared two ingroup memberships were better recognized than all other category combinations. These results document the relationship between evaluative bias and recognition bias after crossed-categorization and indicate that crossed-categorization affects evaluative bias and recognition bias in different ways.