Contributions of shape and reflectance information to social judgments from faces

Dong Won Oh, Ron Dotsch, Alexander Todorov

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Face perception is based on both shape and reflectance information. However, we know little about the relative contribution of these kinds of information to social judgments of faces. In Experiment 1, we generated faces using validated computational models of attractiveness, competence, dominance, extroversion, and trustworthiness. Faces were manipulated orthogonally on five levels of shape and reflectance for each model. Both kinds of information had linear and additive effects on participants’ social judgments. Shape information was more predictive of dominance, extroversion, and trustworthiness judgments, whereas reflectance information was more predictive of competence judgments. In Experiment 2, to test whether the amount of visual information alters the relative contribution of shape and reflectance information, we presented faces – varied on attractiveness, competence, and dominance – for five different durations (33–500 ms). For all judgments, the linear effect of both shape and reflectance increased as duration increased. Importantly, the relative contribution did not change across durations. These findings show that that the judged dimension is critical for which kind of information is weighted more heavily in judgments and that the relative contribution of shape and reflectance is stable across the amount of visual information available.

Original languageEnglish (US)
Pages (from-to)131-142
Number of pages12
JournalVision Research
Volume165
DOIs
StatePublished - Dec 2019

All Science Journal Classification (ASJC) codes

  • Ophthalmology
  • Sensory Systems

Keywords

  • Computational models
  • Face perception
  • Social cognition
  • Social perception

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