• DocumentCode
    174468
  • Title

    Balancing human and inter-agent influences for shared control of bio-inspired collectives

  • Author

    Brown, Daniel S. ; Shin-Young Jung ; Goodrich, Michael A.

  • Author_Institution
    Inf. Directorate, AFRL, Rome, NY, USA
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    4123
  • Lastpage
    4128
  • Abstract
    Human interaction with bio-inspired collectives provides an interesting setting for studying shared control. A human will often have knowledge of global objectives and high-level plans, but the collective will often have more detailed lower-level knowledge about the particulars of the situation at hand. Thus it is important to understand how control can be appropriately shared between the human and the collective. We analyze human interaction with bio-inspired collectives using graph theory, and propose that there are two human-side elements that determine how well control is shared: span and persistence. We additionally propose that there is a collective-side element that determines how well control is shared: connectivity. We study two examples of shared-control between a human and a bio-inspired collective: shaping a spatial formation and causing a collective to switch between stable collective states. Our empirical results show that span, persistence, and connectivity combine to affect (1) how influence is shared between the human and the collective and (2) the resulting success of human-collective interactions.
  • Keywords
    graph theory; multi-agent systems; bioinspired collectives; collective-side element; global objectives; graph theory; high-level plans; human influence; human interaction; human-collective interactions; interagent influence; shared control; spatial formation; Laplace equations; Shape; Switches; Symmetric matrices; Topology; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974582
  • Filename
    6974582