Learning gaze following in space: a computational model

Following another person’s gaze in order to achieve joint attention is an important skill in human social interactions. This paper analyzes the gaze following problem and proposes a learning-based computational model for the emergence of gaze following skills in infants. The model acquires advanced gaze following skills by learning associations between caregiver head poses and positions in space, and utilizes depth perception to resolve spatial ambiguities.

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