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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Misaligned and Polarity-Reversed Faces Determine Face-specific Capacity Limits.

Volker Thoma1, Neil Ward1, Jan W de Fockert2

  • 1School of Psychology, University of East London London, UK.

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|October 13, 2016
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Summary

Peripheral distracter faces are automatically processed. However, visual processing capacity limits for faces are determined by face parts, not configural properties, when non-target faces are present.

Keywords:
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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Peripheral distracter faces are automatically processed during central face target classification.
  • Face-specific capacity limits in visual processing exist, as evidenced by interference effects.
  • These limits are modulated by the nature of stimuli in the central search task.

Purpose of the Study:

  • To investigate whether manipulating the format of non-target faces influences face-specific capacity limits.
  • To determine if face-specific capacity limits are based on configural face processing or individual face parts.
  • To explore the role of non-target face stimuli in modulating peripheral distracter interference.

Main Methods:

  • Utilized flanker paradigms with central search tasks involving target and non-target stimuli.
  • Manipulated the format of non-target faces (e.g., misaligned parts, reversed polarity) in high-load conditions.
  • Measured distracter interference effects to assess processing capacity for peripheral faces.

Main Results:

  • Replicated findings that distracter faces are processed in high-load name search tasks.
  • Demonstrated that high load with non-target faces eliminates peripheral distracter interference, exhausting processing capacity.
  • Showed reduced distracter processing when non-target faces were replaced with misaligned face parts or reversed polarity images.

Conclusions:

  • Face-specific capacity limits are not determined by configural face processing but by the processing of individual face parts.
  • The presence and format of non-target faces significantly impact the allocation of visual processing resources.
  • These findings contribute to understanding the mechanisms underlying face perception and attentional capacity.