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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
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Social presence and the composite face effect.

Teresa Garcia-Marques1, Alexandre Fernandes1, Ricardo Fonseca1

  • 1ISPA - Instituto Universitário, Rua Jardim do Tabaco, 34, 1100 Lisboa, Portugal.

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Summary

Social presence enhances face recognition by reducing the composite face effect. This occurs because social contexts improve monitoring of automatic response interference, not by increasing reliance on holistic processing.

Keywords:
co-actioncomposite face effectcontextual effectsfacial perceptionholistic processingsocial facilitation

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Area of Science:

  • Social Psychology
  • Cognitive Neuroscience
  • Human Perception

Background:

  • Social psychology research consistently shows that social contexts influence performance, leading to inhibition or facilitation.
  • Holistic face perception is crucial for recognizing individuals, but its modulation by social factors remains less understood.

Purpose of the Study:

  • To investigate the impact of social presence on holistic face perception processes.
  • To determine if social presence affects the composite face effect and the underlying mechanisms.

Main Methods:

  • Participants completed the composite face task in two conditions: alone and in the presence of others (mere co-action).
  • Performance was assessed by measuring bias and discrimination in face recognition and the magnitude of the composite face effect.

Main Results:

  • Social presence led to improved face recognition, characterized by less bias and higher discrimination accuracy.
  • The composite face effect was significantly reduced under conditions of social presence.
  • Performance improvements were linked to increased monitoring of automatic response interference, not enhanced holistic processing.

Conclusions:

  • Social presence positively modulates holistic face perception, enhancing face recognition accuracy.
  • The findings suggest that social presence alters cognitive control mechanisms, specifically improving the monitoring of interfering automatic responses.