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Underestimation of the number of hidden objects
Hui Men1,2, Anna Altin1,3, Alexander C Schütz1,4,5
1Allgemeine und Biologische Psychologie, Philipps-Universität Marburg, Marburg, Germany.
Our perception often underestimates hidden objects, even when visible cues are clear. This study reveals that our visual system inaccurately infers the quantity of unseen items, impacting environmental complexity understanding.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Visual Perception
Background:
- Perceptual representation involves inferring hidden environmental aspects.
- Amodal completion fills in contours behind occluding objects for a complete visual representation.
- Existing research supports completion for simple patterns, but its extension to complex ones is unclear.
Purpose of the Study:
- To investigate if amodal completion mechanisms extend to inferring the numerosity of complex, hidden objects.
- To determine if observers accurately estimate the number of hidden objects based on visible cues and occlusion proportions.
- To explore how the arrangement of visible objects influences the estimation of hidden object numerosity.
Main Methods:
- Behavioral experiments presenting partially occluded surfaces with varying numbers and arrangements of objects.
- Observers were asked to estimate the total number of objects, including hidden ones.
- Analysis of how visible object count, occlusion proportion, and object arrangement affected numerosity estimations.
Main Results:
- The number of hidden objects was consistently underestimated.
- Observers did not accurately use visible object counts or occlusion proportions for inference, despite perceiving these accurately.
- Object arrangement influenced estimations: a line of objects across the occluder increased hidden object estimates, while a line outside decreased them.
- Confidence in numerosity estimation was similar for fully visible and partially occluded surfaces.
Conclusions:
- Perceptual inferences about hidden objects are often inaccurate.
- The visual system tends to underestimate the complexity of hidden environmental elements.
- The arrangement of visible cues significantly modulates the estimation of unseen quantities, suggesting sophisticated, albeit imperfect, inferential processes.
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