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The Apemen Faces Database (ApeFD).

Zdzisław Lewandowski1, Slawomir Wacewicz2, Juan Olvido Perea-García3,4

  • 1Department of Human Biology and Cosmetology, Wroclaw University of Health and Sport Sciences, Wrocław, Poland.

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Summary
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The Apemen Faces Database offers 620 realistic, artificial hominin face images for behavioral biology and psychology research. This versatile dataset aids studies on face perception beyond human variation.

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Area of Science:

  • Behavioral Biology
  • Evolutionary Psychology
  • Cognitive Science
  • Primatology

Background:

  • Face perception research often relies on human faces, limiting studies on broader evolutionary and cognitive mechanisms.
  • A need exists for stimuli that are humanlike yet distinctly non-human to explore social attributions and perception beyond current human variation.

Purpose of the Study:

  • To introduce the Apemen Faces Database, a novel stimulus set for research in behavioral biology and evolutionary psychology.
  • To provide a versatile resource for investigating face perception, social cognition, and evolutionary psychology using artificial, generalized hominin facial images.

Main Methods:

  • The database comprises 620 photorealistic, artificially generated facial images of 31 generalized hominin models.
  • Images feature multiple ocular coloration variants and are paired with geometric morphometric data and perceptual ratings (Threat, Sociability, Trustworthiness, Health, Age, Masculinity).
  • Editable .psd files allow for the generation of diverse great ape eye phenotypes.

Main Results:

  • The dataset presents a unique 'humanlike but not human' design, facilitating research on face perception.
  • Stimuli are morphologically diverse, humanlike enough to elicit social attributions, yet clearly non-human.
  • Norming information includes perceptual ratings across key social constructs.

Conclusions:

  • The Apemen Faces Database is a valuable and versatile resource for studying face perception and social cognition in humans and non-human primates.
  • This novel dataset opens new avenues for research into the cognitive and perceptual mechanisms underlying social attributions.
  • Facilitates research exploring the boundaries of face perception beyond extant human variation.