• DocumentCode
    1928895
  • Title

    Investigating the emergence of shared attention through an embodied computational modeling approach: a progress report

  • Author

    Triesch, Jochen ; Carlson, Eric ; Deák, Gedeon ; Movellan, Javier

  • Author_Institution
    Cognitive Sci. Dept., UC San Diego, La Jolla, CA, USA
  • Volume
    4
  • fYear
    2003
  • fDate
    20-24 July 2003
  • Abstract
    Summary form only given. We present a simple computational model of the emergence of gaze following behavior in infant caregiver interactions. We regard gaze following as a skill that infants acquire because they learn that monitoring their caregiver\´s direction of gaze allows them to predict where interesting objects/events in their environment are (Moore, 1996). In particular, we propose a specific "basic set" of mechanisms that are sufficient for gaze following to emerge (Fasel and Deak, 2002). This basic set comprises perceptual and motivational biases and habituation mechanisms driving the infant to look at and shift attention between "interesting" visual stimuli, a generic learning mechanism that learns behavioral strategies to satisfy these preferences, and a structured environment providing correlations between where caregivers look and where interesting stimuli are. We formalize these ideas in a simple model based on temporal difference learning. We analyze the model and demonstrate that a) the proposed basic set of mechanisms is indeed sufficient for gaze following to emerge and b) alterations of parameters of some of the basic set mechanisms motivated by findings on developmental disorders lead to impairments in the learning of gaze following that are typical of these disorders.
  • Keywords
    behavioural sciences; learning systems; psychology; developmental disorders; embodied computational modeling approach; gaze following behavior; generic learning mechanism; habituation mechanisms; infant caregiver interactions; motivational biases; perceptual biases; shared attention; structured environment; temporal difference learning; visual stimuli; Autism; Cognitive science; Computational modeling; Computer Society; Jacobian matrices; Learning systems; Monitoring; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2003. Proceedings of the International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7898-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2003.1224009
  • Filename
    1224009