Year: 2003
Type: article
Abstract: Our ability to recognize one another relies heavily on our capacity to extract identifying information from faces. Since most faces share the same basic features and configurations, we must attend to more subtle differences to successfully distinguish among them. Prior to identifying individual faces, we must be able to extract socially relevant information such as gender and age. Wild et al. (2000) showed that people can identify gender from faces in the absence of sex-stereotyped cues. Here we further this claim and show that both gender and age can be determined from information-scarce images of faces. A linear model reveals that the cues we use to estimate age overlap with those we use for gender identification.
Authors: Nicolas Davidenko, Michael Ramscar
Institution: Stanford University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2767761330