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Automated detections reveal the social information in the changing infant view

Abstract

How do postural developments affect infants’ access to social information? We recorded egocentric and third-person video while infants and their caregivers (N = 36, 8- to 16-month-olds, N = 19 females) participated in naturalistic play sessions. We then validated the use of a neural network pose detection model to detect faces and hands in the infant view. We used this automated method to analyze our data and a prior egocentric video dataset (N = 17, 12-month-olds). Infants’ average posture and orientation with respect to their caregiver changed dramatically across this age range; both posture and orientation modulated access to social information. Together, these results confirm that infant’s ability to move and act on the world plays a significant role in shaping the social information in their view.

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Posted in: Journal Article Abstracts on 12/20/2021 | Link to this post on IFP |
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