Article

Using social face-space to estimate social variables in real and artificial faces

2019-05-13

Abstract excerpt

<p>Observers estimate a range of social characteristics from images of human faces. An important unifying framework for these judgments is the observation that a low-dimensional social face-space based on perceived valence and dominance captures most of the variance across a wide range of social evaluation judgments. However, it is not known whether or not this low-dimensional space can be used to infer the outcom...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3447036a-0d67-516b-9150-3b09cd4b1b66
DOI: 10.31234/osf.io/btv84

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Using social face-space to estimate social variables in real and artificial facesDOI 10.31234/osf.io/btv84Read

Computational modeling of social face perception in humans: Leveraging the active appearance modelSemantic proximity Read

Face ethnicity influences which features drive social judgmentsSemantic proximity Read

Spontaneous Content of Impressions of Naturalistic Face PhotographsSemantic proximity Read

A latent set of facial features unifies models of social trait perceptionSemantic proximity Read

Broadening the Stimulus Set: Introducing the American Multiracial Faces DatabaseSemantic proximity Read

AI-Faces by Illinois: A Database of AI-Generated Faces Depicting ChildrenSemantic proximity Read

Perceived Artificiality Markedly Reduces Trustworthiness but Only Minimally Affects Attractiveness in AI-Synthetic FacesSemantic proximity Read

The Israeli Face Database (IFD): A Multi-Ethnic Database of Faces with Supporting Social Norming DataSemantic proximity Read