• DocumentCode
    1362237
  • Title

    A Computational Model of Acoustic Packaging

  • Author

    Schillingmann, Lars ; Wrede, Britta ; Rohlfing, Katharina J.

  • Author_Institution
    Fac. of Technol., Bielefeld Univ., Bielefeld, Germany
  • Volume
    1
  • Issue
    4
  • fYear
    2009
  • Firstpage
    226
  • Lastpage
    237
  • Abstract
    In order to learn and interact with humans, robots need to understand actions and make use of language in social interactions. The use of language for the learning of actions has been emphasized by Hirsh-Pasek and Golinkoff (MIT Press, 1996), introducing the idea of acoustic packaging . Accordingly, it has been suggested that acoustic information, typically in the form of narration, overlaps with action sequences and provides infants with a bottom-up guide to attend to relevant parts and to find structure within them. In this article, we present a computational model of the multimodal interplay of action and language in tutoring situations. For our purpose, we understand events as temporal intervals, which have to be segmented in both, the visual and the acoustic modality. Our acoustic packaging algorithm merges the segments from both modalities based on temporal overlap. First evaluation results show that acoustic packaging can provide a meaningful segmentation of action demonstration within tutoring behavior. We discuss our findings with regard to a meaningful action segmentation. Based on our future vision of acoustic packaging we point out a roadmap describing the further development of acoustic packaging and interactive scenarios it is employed in.
  • Keywords
    acoustic signal processing; computer aided instruction; human-robot interaction; robot vision; speech synthesis; acoustic modality; acoustic packaging; action demonstration; action segmentation; computational model; human-robot interaction; multimodal action interplay; multimodal language interplay; robots; temporal intervals; temporal overlap; tutoring behavior; visual modality; Acoustic packaging; action representation; action segmentation; robot action learning; tutoring situation;
  • fLanguage
    English
  • Journal_Title
    Autonomous Mental Development, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1943-0604
  • Type

    jour

  • DOI
    10.1109/TAMD.2009.2039135
  • Filename
    5357457