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Ensemble animacy perception relies on mid-level visual features like shape and texture, not high-level object recognition. This study demonstrates that observers can perceive the average animacy of image sets using only these mid-level cues.

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AnimacyEnsemble summary statisticsMid-level features

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Area of Science:

  • Cognitive Science
  • Visual Perception
  • Psychology

Background:

  • Object animacy perception is crucial for understanding the environment.
  • Previous research suggests mid-level features contribute to object animacy.
  • The role of feature level in ensemble animacy perception remains unclear.

Purpose of the Study:

  • To investigate whether ensemble animacy perception is based on high-level or mid-level visual features.
  • To determine if mid-level features alone are sufficient for ensemble animacy judgment.

Main Methods:

  • Utilized five image types: color, grayscale, silhouettes, texforms (preserving mid-level texture/shape), and scrambled images.
  • Conducted Experiments 1 (10-point animacy rating for single/set images) and 2 (2-alternative forced-choice task for set comparison).
  • Employed behavioral tasks to assess participants' perception of animacy from different image representations.

Main Results:

  • Participants could accurately report the mean animacy of texform image sets.
  • This perception occurred without explicit access to high-level object features.
  • Results were consistent across both rating and forced-choice paradigms.

Conclusions:

  • Ensemble animacy perception can be effectively driven by mid-level visual features, specifically shape and texture.
  • High-level object information is not necessary for judging the average animacy of a set of images.
  • The findings support the hypothesis that mid-level features are fundamental to ensemble animacy processing.