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Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior
Published on: November 14, 2018
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Prediction-learning in infants as a mechanism for gaze control during object exploration
Matthew Schlesinger1, Scott P Johnson2, Dima Amso3
1Department of Psychology, Southern Illinois University Carbondale, Carbondale IL, USA.
Frontiers in Psychology
|June 7, 2014
Summary
Infants
Area of Science:
- Cognitive Science
- Developmental Psychology
- Computational Neuroscience
Background:
- Infant visual exploration is hypothesized to involve predictable gaze sequences.
- Previous work showed infant gaze patterns are more learnable than adult or model patterns.
- This study investigates gaze patterns in a specific object perception task.
Purpose of the Study:
- To test if infants' gaze sequences during an object perception task are predictable.
- To compare the learnability of infant gaze data against artificial models.
- To explore the role of temporal structure in infant visual learning.
Main Methods:
- Collected center-of-gaze (COG) data from 3-month-olds viewing an occluded object.
- Generated simulated COG sequences using image-saliency and random-gaze models.
- Trained simple recurrent networks (SRNs) on infant and model COG data to assess learnability.
Main Results:
- Infant COG sequences were learned faster by SRNs than artificial model sequences.
- Resetting recurrent layer activity increased prediction errors, indicating temporal structure.
- Findings support the hypothesis of sequentially predictable gaze production in infants.
Conclusions:
- Infant object perception involves predictable gaze sequences, aiding learning.
- Temporal structure in gaze is crucial for developing predictive models of the environment.
- This research links predictive coding principles to early visual development.
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