• DocumentCode
    565805
  • Title

    Using bio-electrical signals to influence the social behaviours of domesticated robots

  • Author

    Saulnier, Paul ; Sharlin, Ehud ; Greenberg, Saul

  • Author_Institution
    Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2009
  • fDate
    11-13 March 2009
  • Firstpage
    263
  • Lastpage
    264
  • Abstract
    Several emerging computer devices read bio-electrical signals (e.g., electro-corticographic signals, skin biopotential or facial muscle tension) and translate them into computer- understandable input. We investigated how one low-cost commercially-available device could be used to control a domestic robot. First, we used the device to issue direct motion commands; while we could control the device somewhat, it proved difficult to do reliably. Second, we interpreted one class of signals as suggestive of emotional stress, and used that as an emotional parameter to influence (but not directly control) robot behaviour. In this case, the robot would react to human stress by staying out of the person´s way. Our work suggests that affecting behaviour may be a reasonable way to leverage such devices.
  • Keywords
    bioelectric potentials; brain-computer interfaces; human factors; human-robot interaction; motion control; psychology; service robots; skin; bio-electrical signals; brain-computer interaction; computer devices; direct motion command; domestic robot; domesticated robot social behaviours; electro-corticographic signals; emotional parameter; emotional stress; facial muscle tension; human stress; robot behaviour; skin biopotential; Computers; Humans; Muscles; Robots; Skin; Software; Stress; OCZ NIA™; Robots; bio-electric signals; emotional control; emotional instrument; iRobot® Roomba®;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on
  • Conference_Location
    La Jolla, CA
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-60558-404-1
  • Type

    conf

  • Filename
    6256055