• DocumentCode
    615167
  • Title

    Laughter induction techniques suitable for generating motion capture data of laughter associated body movements

  • Author

    McKeown, Gary ; Curran, William ; McLoughlin, Ciaran ; Griffin, Harry J. ; Bianchi-Berthouze, Nadia

  • Author_Institution
    Sch. of Psychol., Queen´s Univ. Belfast, Belfast, UK
  • fYear
    2013
  • fDate
    22-26 April 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Laughter is a frequently occurring social signal and an important part of human non-verbal communication. However it is often overlooked as a serious topic of scientific study. While the lack of research in this area is mostly due to laughter´s non-serious nature, it is also a particularly difficult social signal to produce on demand in a convincing manner; thus making it a difficult topic for study in laboratory settings. In this paper we provide some techniques and guidance for inducing both hilarious laughter and conversational laughter. These techniques were devised with the goal of capturing motion information related to laughter while the person laughing was either standing or seated. Comments on the value of each of the techniques and general guidance as to the importance of atmosphere, environment and social setting are provided.
  • Keywords
    image motion analysis; social sciences computing; conversational laughter; hilarious laughter; human nonverbal communication; laughter associated body movement; laughter induction technique; motion capture data generation; motion information capture; social signal; Atmosphere; Databases; Games; Materials; Tongue; Videos; YouTube;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-5545-2
  • Electronic_ISBN
    978-1-4673-5544-5
  • Type

    conf

  • DOI
    10.1109/FG.2013.6553806
  • Filename
    6553806