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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
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Published on: December 24, 2015

Information compression trumps accuracy when viewing groups of faces.

Li L-Miao1, Yu R Dandan2, Changsheng Chen3

  • 1Laboratoire de Sciences Cognitives et Psycholinguistique (LSCP), Département d'Études Cognitives, l'École Normale Supérieure (ENS), PSL University, Centre National de la Recherche Scientifique (CNRS), Paris, France; Univ. Lille, CNRS, UMR9193 - SCALab - Sciences Cognitives et Sciences Affectives, F-59000 Lille, France; Faculty of Psychology and Educational Sciences, KU Leuven @Kulak, Kortrijk, Belgium.

Consciousness and Cognition
|July 2, 2026
PubMed
Summary
This summary is machine-generated.

Even with clear visibility, people often underreport the number of faces in small groups. This face detection error suggests the brain prioritizes information compression over accuracy with redundant visual stimuli.

Keywords:
Face detectionFace perceptionSpatial visionVisual information compression

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Human face detection is typically highly accurate, even under challenging conditions.
  • Faces are critical visual stimuli for human recognition and processing.

Purpose of the Study:

  • To investigate face detection accuracy in small, grouped arrays.
  • To determine if face underreporting occurs even with minimal group sizes and clear visibility.

Main Methods:

  • Participants viewed arrays of 3 to 6 identical faces in the visual periphery.
  • Tasks included reporting the number of faces and, in a separate experiment, face orientation.

Main Results:

  • Faces were systematically underreported, even in groups of three.
  • Face orientation identification remained accurate, indicating a specific numerical underreporting issue.
  • Errors occurred despite spacing well above visual resolution.

Conclusions:

  • The visual system may err in face detection when presented with redundant information.
  • Information compression may be prioritized over numerical accuracy to optimize processing resources.
  • Unexpected detection-like errors highlight limitations in processing highly salient stimuli like faces.