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Familiar objects benefit more from transsaccadic feature predictions.

Nedim Goktepe¹, Alexander C Schütz^2,3

¹AG Allgemeine und Biologische Psychologie, Philipps-Universität Marburg, Marburg, Germany. goektepe@staff.uni-marburg.de.

Attention, Perception & Psychophysics

|January 31, 2023

Summary

This summary is machine-generated.

Familiar objects enhance visual predictions between peripheral and foveal vision. This study shows familiar objects improve transsaccadic feature prediction and change detection compared to novel objects.

Keywords:

Object recognition Perceptual learning Saccades Transsaccadic prediction Visual stability

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Area of Science:

Cognitive Neuroscience
Visual Perception
Human Vision

Background:

Transsaccadic feature prediction links peripheral and foveal vision for object recognition.
It remains unclear if object familiarity is necessary for transsaccadic predictions.

Purpose of the Study:

To investigate whether object familiarity provides an advantage in peripheral-foveal matching and transsaccadic change detection.
To determine if prior experience with objects influences the transsaccadic feature prediction mechanism.

Main Methods:

Two experiments were conducted using peripheral-foveal matching and transsaccadic object change detection tasks.
Participants unknowingly completed a familiarization task before performing the main experiments.
Stimuli included familiar and novel objects presented in peripheral and foveal visual fields.

Main Results:

Familiar objects showed a performance advantage over novel objects in both tasks.
Foveal-peripheral associations explained familiarity effects in the matching task.
Peripheral-foveal associations were key for transsaccadic change detection, especially with a postsaccadic blank.

Conclusions:

Object familiarity enhances transsaccadic predictions, suggesting object-specific predictions aid visual processing.
The transsaccadic feature prediction mechanism benefits from experience with objects.
Postsaccadic visual experience further improves change detection for familiar objects.