• DocumentCode
    2922997
  • Title

    Social intelligence design for intercultural communication

  • Author

    Nishida, Toyoaki

  • Author_Institution
    Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    Research on social intelligence design aims at understanding and augmentation of social intelligence resulting from individual intelligence to coordinate one´s behaviors with others´ in a society and collective intelligence to solve problem and learn from experiences. It is assumed that social intelligence enables socially intelligent interactions at different levels of granularity: connectedness in the large, collaboration in the middle and natural interaction in the small. In this article, I discuss intercultural communication in the context of social intelligence design. I focus on empathy and argue for the sharing hypothesis: the more is shared, the more empathy is gained. I present how much the technology may contribute to enhance sharing in various aspects. I point out current limitations and prospect future research.
  • Keywords
    social networking (online); ubiquitous computing; collective intelligence; intercultural communication; social intelligence augmentation; social intelligence design; socially intelligent interaction; Artificial intelligence; Conferences; Humans; Mirrors; Neurons; Real time systems; Robots; empathy; immersive interaction environment; intercultural communication; learning by mimicking; sharing hypothesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122561
  • Filename
    6122561