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Profiles on the Orientation Discrimination Processing of Human Faces.

Carmen Moret-Tatay1, Inmaculada Baixauli-Fortea2, M Dolores Grau-Sevilla2

  • 1Escuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir, San Agustín 3, 46002 València, Spain.

International Journal of Environmental Research and Public Health
|August 14, 2020
PubMed
Summary

This study on face recognition found two distinct performance profiles based on face position, differing in reaction times but not accuracy. Results suggest a potential leftward bias in visual face recognition tasks.

Keywords:
Karolinska Directed Emotional Facescluster analysisface recognitionorientation discriminationorientation encoding of faces

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Public Health

Background:

  • Socialization and citizenship are linked to face recognition abilities.
  • Effective face recognition involves discriminating familiar faces and rejecting unfamiliar ones.
  • Face position can influence cognitive load in recognition tasks.

Purpose of the Study:

  • To investigate face recognition performance profiles based on face position.
  • To analyze reaction times and accuracy in a face recognition task.
  • To identify potential biases in face perception.

Main Methods:

  • Utilized the Karolinska Directed Emotional Faces (KDEF) dataset for stimuli.
  • Conducted a face recognition task measuring reaction times and accuracy.
  • Employed cluster analysis to identify distinct performance profiles.

Main Results:

  • Identified two distinct face recognition profiles based on performance.
  • Profiles differed significantly in reaction times related to face position.
  • No significant differences in accuracy were observed between profiles or positions.
  • A bias towards the left was suggested in recognition performance.

Conclusions:

  • Face recognition performance can be categorized into profiles based on reaction time and face position.
  • Reaction times, not accuracy, differentiate these profiles.
  • Findings may inform the development of targeted training programs for face recognition skills.