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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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How do people perceive the variability of multifeature objects?

Jinhyeok Jeong1, Sang Chul Chong2

  • 1The Graduate Program in Cognitive Science, Yonsei University.

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Summary
This summary is machine-generated.

Humans perceive object variability using multiple features, not just individual ones. Spatial arrangement influences how features combine, suggesting a general variance processor for ensemble perception.

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Area of Science:

  • Cognitive psychology
  • Visual perception
  • Computational neuroscience

Background:

  • Humans can perceive summary statistics of object features.
  • Ensemble perception for multifeature objects is not fully understood.
  • Investigating how multiple features are integrated for variability judgments is crucial.

Purpose of the Study:

  • To investigate ensemble perception of variability in multifeature objects.
  • To determine if perceived variability relies on marginal or joint distributions.
  • To explore the role of interfeature correlation and spatial regularity.

Main Methods:

  • Participants estimated overall variability of stimuli with varying orientations and colors.
  • Interfeature correlation was manipulated to test distribution models.
  • Spatial arrangement of similar features was varied.

Main Results:

  • Most participants considered both orientation and color for variability estimation.
  • Interfeature correlation did not affect perceived variability based on marginal distributions.
  • Spatial regularity modulated feature integration, reducing perceived variability when features were adjacent.

Conclusions:

  • Multiple feature information contributes to variability perception.
  • Perceived variability relies on marginal distributions, not joint distributions, unless spatial regularity is present.
  • Findings support a domain-general variance processor for ensemble perception.