Using eye tracking to test for individual differences in attention to attractive faces

Christian Valuch, Lena Pflüger, Bernard Wallner, Bruno Laeng, Ulrich Ansorge

Publications: Contribution to journalArticlePeer Reviewed

Abstract

We assessed individual differences in visual attention toward faces in relation to their attractiveness via saccadic reaction times. Motivated by the aim to understand individual differences in attention to faces, we tested three hypotheses: (a) Attractive faces hold or capture attention more effectively than less attractive faces; (b) men show a stronger bias toward attractive opposite-sex faces than women; and (c) blue-eyed men show a stronger bias toward blue-eyed than brown-eyed feminine faces. The latter test was included because prior research suggested a high effect size. Our data supported hypotheses (a) and (b) but not (c). By conducting separate tests for disengagement of attention and attention capture, we found that individual differences exist at distinct stages of attentional processing but these differences are of varying robustness and importance. In our conclusion, we also advocate the use of linear mixed effects models as the most appropriate statistical approach for studying inter-individual differences in visual attention with naturalistic stimuli.

Original languageEnglish
Article number42
Number of pages13
JournalFrontiers in Psychology
Volume6
DOIs
Publication statusPublished - 2 Feb 2015

Austrian Fields of Science 2012

  • 106051 Behavioural biology

Keywords

  • BEAUTY
  • BIAS
  • EVOLUTIONARY PSYCHOLOGY
  • GENDER-DIFFERENCES
  • INHIBITION
  • REWARD
  • STIMULI
  • attention
  • attractiveness
  • dot probe
  • eye color
  • faces
  • gap effect
  • gender
  • linear mixed effects models
  • Eye color
  • Dot probe
  • Gap effect
  • Attention
  • Attractiveness
  • Gender
  • Linear mixed effects models
  • Faces

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