• DocumentCode
    2028677
  • Title

    Understanding embodied visual attention in child-parent interaction

  • Author

    Bambach, Sven ; Crandall, David J. ; Chen Yu

  • Author_Institution
    Sch. of Inf. & Comput., Indiana Univ., Bloomington, IN, USA
  • fYear
    2013
  • fDate
    18-22 Aug. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A key component of the human visual system is our attentional control - the selection of which visual stimuli to pay attention to at any moment in time. Understanding visual attention in children could yield new insight into how the visual system develops during formative years and how their visual attention and selection play a role in development and learning. We use head-mounted cameras to record first-person video from interacting children and parents, giving a good approximation of the contents of their visual fields of view, and collect gaze direction data to record where they look within the visual field. We data-mine this data to study the distributions of gaze patterns within the first-person visual frame for both children and adults. We also study the ability of visual saliency to predict visual attention, as a function of the tasks, actions, and interactions that the participants perform. We find significant differences in the results between children and parents, indicating substantial differences in how their bodily actions are coupled with their visual attention between developing (child) and developed (adult) visual systems.
  • Keywords
    cognition; data mining; visual perception; attentional control; child-parent interaction; data mining; developed visual systems; developing visual systems; embodied visual attention; first-person video; first-person visual frame; gaze direction; head-mounted cameras; human visual system; learning; visual field; visual saliency; visual stimuli; Cameras; Context; Face; Heating; Pediatrics; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Development and Learning and Epigenetic Robotics (ICDL), 2013 IEEE Third Joint International Conference on
  • Conference_Location
    Osaka
  • Type

    conf

  • DOI
    10.1109/DevLrn.2013.6652555
  • Filename
    6652555