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The HoneyComb Paradigm for Research on Collective Human Behavior

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Spatial and temporal proximity of objects for maximal crowding.

Susana T L Chung¹, Saumil S Patel²

¹School of Optometry, University of California, Berkeley, Berkeley, CA, USA.

Vision Research

|January 18, 2022

Summary

Maximal crowding does not occur when visual objects are closest in space and time. A computational model explains crowding by considering response latencies in visual pathways.

Keywords:

Crowding Flash-lag effect Perceptual proximity Physical proximity

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Area of Science:

Visual perception
Computational neuroscience

Background:

Crowding is a phenomenon where nearby objects impair visual processing.
Understanding the spatial and temporal factors influencing crowding is crucial for visual science.

Purpose of the Study:

To investigate whether maximal crowding occurs at the closest spatial and temporal proximity between target and flanker stimuli.
To determine the relationship between retinal and perceptual proximity and the occurrence of maximal crowding.

Main Methods:

A T-stimulus target was presented at varying spatial and temporal offsets relative to revolving flanking T-stimuli.
Observers performed orientation judgment (crowding task) and position judgment (flash-lag task).
Experiments also manipulated simultaneous and collinear presentations to isolate spatial and temporal proximity effects.

Main Results:

Maximal crowding was not consistently observed at the closest retinal or perceptual spatial and temporal proximity.
Performance in crowding and flash-lag tasks varied non-linearly with spatio-temporal conditions.

Conclusions:

Neither retinal nor perceptual proximity alone explains maximal crowding.
A feed-forward interaction model incorporating differential response latencies in visual pathways successfully predicts crowding behavior across various spatio-temporal conditions.