Learning gaze following in space: a computational model Studienarbeit im Diplomstudiengang Informatik

نویسندگان

  • Boris Lau
  • Jochen Triesch
چکیده

Following another person's gaze in order to achieve joint attention is an important skill in human social interactions. This work analyzes geometric aspects of 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. It demonstrates that the succession of different " stages " of gaze following competence observed in infants can be explained with a single, generic learning mechanism.

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تاریخ انتشار 2006