When Humans Become Objects: Out-Group Effects in Real and Artificial Faces

Abstract

Out-group members are commonly viewed as being less human than in-group members. They are denied certain human characteristics and in turn become associated with machines or automata. Specifically, out-groups are attributed less naturally and uniquely human traits, and they are also seen as being less able to experience complex emotions in comparison to the in-group. Such dissociations have been demonstrated with real human faces but in our study, we aimed to test whether similar effects generalize to their artificial versions. Caucasian participants were presented with images of male Caucasian and Indian faces. Their task was to evaluate to what extent naturally and uniquely human traits, as well as primary and secondary emotions, can be attributed to them. In line with previous research, it was found that positive naturally human traits were attributed to a greater degree to the in-group than to the out-group, applying to both real and artificial faces. Moreover, negative naturally human traits and negative primary emotions were attributed more to the out-group. This indicates a positive bias towards the in-group and subtle out-group derogation. The results extend prior research based on real human faces and show that intergroup processes emerge similarly in response to artificial faces, which may have implications for the fields of computer graphics and animation. That is, even the most realistic face recognized as belonging to an out-group member may convey less humanness than that of an in-group member.