Cross Race Research Articles

Do individuation instructions reduce the cross-race effect? A registered replication of

People usually have less accurate memory for cross-race (CR) than for same-race (SR) faces, a robust and consequential phenomenon known as the Cross-Race Effect (CRE). In an influential paper, Hugenberg et al. (2007) showed that the CRE can be eliminated when participants are instructed to individuate CR faces in order to avoid displaying this effect. This finding has received widespread attention, and many studies have attempted to replicate it, with mixed results. In the present research, we attempted to replicate the effect of the individuation instructions in eliminating the CRE (Hugenberg et al., 2007) in two pre-registered experiments in two different cultures – the United States and Portugal. The results of both experiments found no evidence that instructing participants to individuate CR faces eliminates or even attenuates the CRE. Additionally, we also examined and failed to find support for the idea that these individuation instructions are more effective for the participants who report greater contact with CR faces (Young & Hugenberg, 2012). Finally, we also did not find evidence that the cultural setting moderates the effect of the individuation instructions of the CRE. We critically discuss the potential reasons for the lack of impact on the individuation instructions in the CRE and its implications for a prominent motivational account of this effect.

Perceived importance of cross-race targets facilitates recall: Support for a motivated account of face memory

The cross-race effect (CRE) is the tendency to remember same-race (SR) faces better than cross-race (CR) faces. While there has been debate about the causes of the CRE, recent perspectives suggest that a lack of motivation to remember CR faces causes this effect. We provide direct support for this model across two studies manipulating the perceived importance of target faces. In Study 1 participants were outcome-dependent on a Black or White research partner. When participants were dependent on a Black partner compared with a White partner, the CRE was reduced through an increase in Black face recognition. In Study 2 we used a novel procedure to increase the perceptual size of target faces. According to conceptual metaphor theory, targets that appear subjectively large will be perceived as more important. We found that the CRE was eliminated when CR faces appeared larger than SR faces.

The importance of skin color and facial structure in perceiving and remembering others: An electrophysiological study

The own-race bias (ORB) is a well-documented recognition advantage for own-race (OR) over cross-race (CR) faces, the origin of which remains unclear. In the current study, event-related potentials (ERPs) were recorded while Caucasian participants age-categorized Black and White faces which were digitally altered to display either a race congruent or incongruent facial structure. The results of a subsequent surprise memory test indicated that regardless of facial structure participants recognized White faces better than Black faces. Additional analyses revealed that temporally-early ERP components associated with face-specific perceptual processing (N170) and the individuation of facial exemplars (N250) were selectively sensitive to skin color. In addition, the N200 (a component that has been linked to increased attention and depth of encoding afforded to in-group and OR faces) was modulated by color and structure, and correlated with subsequent memory performance. However, the LPP component associated with the cognitive evaluation of perceptual input was influenced by racial differences in facial structure alone. These findings suggest that racial differences in skin color and facial structure are detected during the encoding of unfamiliar faces, and that the categorization of conspecifics as members of our social in-group on the basis of their skin color may be a determining factor in our ability to subsequently remember them.

Power, individuation, and the cross-race recognition deficit

The well-known cross-race effect (CRE) in facial recognition is observed as better recognition for faces of one’s own race than faces of another race. Across two experiments, this very robust phenomenon was attenuated via an increase in cross-race (CR) recognition when CR targets were perceived as wielding power either because of their occupational roles (Experiment 1) or the behaviors in which they engaged (Experiment 2). Furthermore, evidence in Experiment 2 indicates that neither target stereotypicality nor target valence can easily explain the observed increase in CR recognition. These results conform closely to predictions derived from a social-cognitive model of the cross-race effect.

Categorization and individuation in the cross-race recognition deficit: Toward a solution to an insidious problem

Recent theory and evidence suggest that the Cross-Race Effect (better recognition for same-race (SR) faces than for cross-race (CR) faces) is due to social-cognitive processes of categorization of out-group members, causing perceivers to attend to category-specifying information of CR faces at the expense of individuating information. Three experiments seek to extend this social-cognitive explanation of the CRE by investigating the extent to which the Cross-Race Effect can be reduced by inducing perceivers to individuate rather than categorize CR faces. In all three experiments, participants who received warning of the Cross-Race Effect prior to encoding, and instructions to individuate out-group members, showed no CRE. Experiment 2 suggests that this elimination of the CRE was not due merely to increased motivation to process all stimuli. This is one of few empirical displays of an elimination of the CRE outside of visual training. Moreover, these results are congenial with Levin’s (2000) feature-selection model, which suggests that the CRE is due to differential social cognitions about in-group and out-group members, rather than to differences in perceptual expertise. By eliciting individuation of out-group members at encoding, the CRE can be eliminated.

Visual search for a socially defined feature: what causes the search asymmetry favoring cross-race faces?

Levin (1996, 2000) reported that white subjects search for black targets more quickly than they search for white targets, suggesting that black faces are perceived as having a feature that is lacking in white faces. Here we test one of the implications of this asymmetry by having subjects search for same-race (SR) and cross-race (CR) faces that are distorted to look less like each other (producing caricatures that enhance race-specifying features), or are distorted to look more like each other (a prototypical distortion expected to reduce the salience of race-specifying features). Experiments 1 and 2 show that caricaturing the feature-positive CR distractors speeds search for the SR face and that prototypical distortion slows this search. The same distortions in SR faces did not affect the search slopes. However, these distortions also eliminated the overall advantage for CR faces. Experiment 3 shows that trial-to-trial variation in the specific distractors in each display can eliminate the asymmetry and suggests that this asymmetry depends on the subjects' ability to set a consistent a priori perceptual criterion when searching for a CR target, while the distortion effects emphasize the importance of distractor-rejection processes in determining the form of a serial search asymmetry.

Race as a visual feature: using visual search and perceptual discrimination tasks to understand face categories and the cross-race recognition deficit.

One of the most familiar empirical phenomena associated with face recognition is the cross-race (CR) recognition deficit whereby people have difficulty recognizing members of a race different from their own. Most researchers assume that the CR deficit is caused by failure to generalize perceptual encoding expertise from same-race (SR) faces to CR faces. However, this explanation ignores critical differences in the social cognitions and feature coding priorities associated with SR and CR faces. On the basis of data from visual search and perceptual discrimination tasks, it appears that the deficit occurs because people emphasize visual information specifying race at the expense of individuating information when recognizing CR faces. In particular, it is possible to observe a paradoxical improvement in both detection and perceptual discrimination accuracy for CR faces that is limited to those who recognize them poorly. These findings support a new explanation for the CR recognition deficit based on feature coding differences between CR and SR faces, and appear incompatible with similarity-based models of face categories.

Race as a visual feature: Using visual search and perceptual discrimination tasks to understand face categories and the cross-race recognition deficit.

One of the most familiar empirical phenomena associated with face recognition is the cross-race (CR) recognition deficit whereby people have difficulty recognizing members of a race different from their own. Most researchers assume that the CR deficit is caused by failure to generalize perceptual encoding expertise from same-race (SR) faces to CR faces. However, this explanation ignores critical differences in the social cognitions and feature coding priorities associated with SR and CR faces. On the basis of data from visual search and perceptual discrimination tasks, it appears that the deficit occurs because people emphasize visual information specifying race at the expense of individuating information when recognizing CR faces. In particular, it is possible to observe a paradoxical improvement in both detection and perceptual discrimination accuracy for CR faces that is limited to those who recognize them poorly. These findings support a new explanation for the CR recognition deficit based on feature coding differences between CR and SR faces, and appear incompatible with similarity-based models of face categories.

Classifying faces by race: The structure of face categories.

This article explored the finding that cross-race (CR) faces are more quickly classified by race than same race (SR) faces. T. Valentine and M. Endo (1992) modeled this effect by assuming that face categories can be explained on the basis of node activations in a multidimensional exemplar space. Therefore, variations in exemplar density between and within face categories explain both facilitated classification of CR faces and the relationship between typicality and classification RT within face categories. The present findings from classification and visual search tasks suggest that speeded classification of CR faces is instead caused by a quickly coded race feature that marks CR but not SR faces. Also, systematic manipulations of facial typicality cause no variation in classifiability aside from slowed classification of very distinctive faces. These results suggest that the exemplar model cannot explain important aspects of face classification. Although face perception is usually studied from the standpoint of our amazing ability to differentiate a large number of faces, representations of face categories are also important. The process of categorizing individual faces has a number of implications both for general models of classification and for understanding face identification. The focus here is on the apparently paradoxical finding that participants are faster to classify faces they have difficulty recognizing. In the present case, this means that White participants classify Black or Asian faces faster than White faces (Levin, 1989; Valentine & Endo, 1992). In attempting to understand facilitated classification of cross-race faces (hereinafter referred to as the CR [cross-race] classification advantage), the present research considers explanations for the CR classification advantage as they relate to the basic structure of face categories, both in terms of discrimination between categories and in terms of their internal structure. Three explanations for the CR classification advantage are tested here. The first, stemming from Valentine's (1991) multidimensional space framework, places the advantage in the context of an exemplar model of face classification and recognition. This model uses simple assumptions based on