• DocumentCode
    1771355
  • Title

    Social implications of agent-based planning support for human teams

  • Author

    Wenchao Jiang ; Fischer, Joel E. ; Greenhalgh, Chris ; Ramchurn, Sarvapali D. ; Feng Wu ; Jennings, Nicholas R. ; Rodden, Tom

  • Author_Institution
    Mixed Reality Lab., Univ. of Nottingham, Nottingham, UK
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Firstpage
    310
  • Lastpage
    317
  • Abstract
    We present a field trial of how instructions from an intelligent planning agent are dealt with by distributed human teams, in a time-critical task setting created through a mixed-reality game. We conduct interaction analysis to examine video recorded field observations and game log data. The findings highlight the social process by which players interpret and negotiate the agent guidance as well as how these are intertwined with social dynamics of the teams. The insights can be used to develop an understanding of interactional issues around automated team instructions and inform the design of human-centred planning support systems.
  • Keywords
    multi-agent systems; planning (artificial intelligence); social sciences computing; agent guidance; agent-based planning support; automated team instructions; distributed human team social dynamics; game log data; human-centred planning support systems; intelligent planning agent; interaction analysis; mixed-reality game; social process; video recorded field observations; Computational modeling; Games; Legged locomotion; Planning; Resource management; Turning; Virtual reality; coalition formation; human-agent interaction; instructions; mixed reality game; planning support; team coordination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaboration Technologies and Systems (CTS), 2014 International Conference on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4799-5157-4
  • Type

    conf

  • DOI
    10.1109/CTS.2014.6867582
  • Filename
    6867582