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Holistic ensemble perception.

Linfeng Han1, Allison Yamanashi Leib2, Zhimin Chen2

  • 1Department of Psychology, Tsinghua University, Beijing, 100084, China. hanlf@sas.upenn.edu.

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Summary
This summary is machine-generated.

Ensemble perception allows us to grasp gist characteristics from face crowds. This study confirms ensemble perception of facial emotional valence relies on holistic processing, even with challenging Mooney faces.

Keywords:
Ensemble perceptionFace inversionHolistic processingMooney faces

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Area of Science:

  • Cognitive Psychology
  • Visual Perception
  • Social Neuroscience

Background:

  • Ensemble perception enables rapid gist evaluation of crowds, like average emotion or family resemblance.
  • Previous research indicated ensemble percepts might rely on holistic and viewpoint-invariant information.
  • The role of feature-based analysis versus holistic processing in ensemble perception remains debated.

Purpose of the Study:

  • To confirm that ensemble perception of facial emotional valence can be extracted holistically.
  • To investigate if holistic processing is necessary for accurate ensemble perception of faces.
  • To determine if ensemble perception is robust even when feature-based analysis is limited.

Main Methods:

  • Utilized Mooney faces—two-tone, shadow-defined images requiring holistic processing for recognition.
  • Assessed observers' ability to report average emotional valence from crowds of Mooney faces.
  • Varied presentation methods (spatially distributed, rapid temporal sequence) and Mooney face recognition difficulty (inverted).

Main Results:

  • Observers successfully extracted average emotional valence from Mooney face crowds.
  • Performance remained high even when holistic processing was maximized by using difficult-to-recognize inverted Mooney faces.
  • Results indicate sensitivity to average emotional valence is preserved under conditions limiting part-based analysis.

Conclusions:

  • Ensemble perception of facial emotional valence selectively operates on holistic representations.
  • Holistic processing is a key mechanism for extracting gist information from face crowds.
  • This capacity persists even when feature-based information is impoverished or unavailable.