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Related Experiment Video

Updated: Dec 24, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Likeness, Familiarity, and the Ambient Portrait Average.

Susan Hayes1, Peter Caputi2, T S Zaracostas3

  • 1Centre for Archaeological Science, School of Atmospheric, Earth and Environmental Sciences, Faculty of Science Medicine and Health, University of Wollongong Australia, Wollongong, Australia; Red Point Artists Association, Port Kembla, Australia.

Perception
|April 9, 2020
PubMed
Summary

Portrait averages are shape accurate and perceived as good likenesses. However, familiar viewers prefer portraits exaggerating facial distinctiveness for a better likeness, not just accuracy.

Keywords:
distinctivenessface perceptiongeometric morphometricslikenessportraiturerecognition

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Area of Science:

  • Art and Perception
  • Psychology
  • Computer Vision

Background:

  • Facial likeness perception is complex.
  • Geometric morphometrics aids in analyzing facial shape accuracy.
  • Familiarity influences how viewers perceive portrait likeness.

Purpose of the Study:

  • To investigate the relationship between portrait accuracy, familiarity, and perceived likeness.
  • To compare viewer preferences for averaged portraits versus distinctively exaggerated portraits.
  • To extend previous findings on likeness, familiarity, and shape accuracy in portraiture.

Main Methods:

  • 10 visual artists created ambient portraits and averaged portraits of familiar and unfamiliar sitters.
  • Over 150 general public members assessed portrait likeness during an exhibition.
  • Geometric morphometrics was used to measure shape accuracy.

Main Results:

  • Portrait averages were highly shape accurate and generally perceived as good likenesses.
  • Unfamiliar viewers significantly favored shape-accurate depictions.
  • Familiar viewers preferred portraits with exaggerated facial distinctiveness and pose, provided proportionality was maintained.

Conclusions:

  • While portrait averages offer high shape accuracy, they do not guarantee the best likeness.
  • Viewer familiarity significantly impacts likeness perception, with a preference for distinctiveness over pure accuracy.
  • Facial distinctiveness and pose exaggeration, within proportional limits, enhance likeness for familiar viewers.