We designed an fMRI experiment comparing perception of human faces and robotic faces producing emotional expressions. The purpose of our experiment was to investigate engagement of different parts of the social brain by viewing these animate and inanimate agents. Both human and robotic face expressions evoked activity in face-responsive regions in the fusiform gyrus and STS and in the putative ...

Neandertal faces have been described as being derived with respect to their overall length or degree of anterior projection. A comparison of cranial and mandibular indicators of lower facial projection across archaic and modern Homo indicates that Neandertal facial lengths on average are similar to those of preceding archaic Homo and principally contrast with those of recent humans. Neandertal ...

Facial expression, resulting from movements of the facial muscles, is one of the most powerful, natural, and immediate means for human beings to communicate their emotions and intentions. Some examples of facial expressions are shown in Fig. 1. Darwin (1872) was the first to describe in detail the specific facial expressions associated with emotions in animals and humans; he argued that all mam...

The ability to quickly detect potential threat is an important survival mechanism for humans and other animals. Past research has established that adults have an attentional bias for the detection of threat-relevant stimuli, including snakes and spiders as well as angry human faces. Recent studies have documented that preschool children also detect the presence of threatening stimuli more quick...

Infant faces are very salient stimuli. The Kindchenschema describes specific features that characterize a cute infant face. In this study we used a visual adaptation paradigm to investigate the universality of the perceptual properties of the Kindchenschema. In Experiment 1, twenty-four participants adapted to cute and less cute human infant faces and in Experiment 2, twenty-four new participan...

Human faces diier in shape and texture. This paper describes a representation of grey-level images of human faces based on an automated separation of two-dimensional shape and texture. The separations were done using the point correspondence between the diierent images, which was established through algorithms known from optical ow computation. A linear description of the separated texture and ...

Human faces di er in shape and texture. This paper describes a representation of grey-level images of human faces based on an automated separation of two-dimensional shape and texture. The separations were done using the point correspondence between the di erent images, which was established through algorithms known from optical ow computation. A linear description of the separated texture and ...