• DocumentCode
    2528271
  • Title

    Exploring human mental models of robots through explicitation interviews

  • Author

    Syrdal, Dag Sverre ; Dautenhahn, Kerstin ; Kheng Lee Koay ; Walters, Michael L. ; Otero, Nuno R.

  • Author_Institution
    Adaptive Syst. Res. Group, Univ. of Hertfordshire, Hatfield, UK
  • fYear
    2010
  • fDate
    13-15 Sept. 2010
  • Firstpage
    638
  • Lastpage
    645
  • Abstract
    This paper presents the findings of a qualitative study exploring how mental models of a mechanoid robot using dog-inspired affective cues behaviour emerges and impacts the evaluation of the robot after the viewing of a video of an assistive robotics scenario interaction with the robot. It discusses this using contrasting case studies based on the analysis of explicitation interviews with three participants. The analysis suggests that while for some users zoomorphic cues may aid in initial interactions, they need to be framed in an authentic interaction, highlighting the actual capabilities of the robot as a technological artifact, and how these impact the everyday life and interests of the potential user.
  • Keywords
    human-robot interaction; service robots; assistive robotics scenario; dog-inspired affective cues behaviour; explicitation interview; human mental model; human-robot interaction; mechanoid robot; user zoomorphic cues; Cameras; Cognitive science; Dogs; Humans; Interviews; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RO-MAN, 2010 IEEE
  • Conference_Location
    Viareggio
  • ISSN
    1944-9445
  • Print_ISBN
    978-1-4244-7991-7
  • Type

    conf

  • DOI
    10.1109/ROMAN.2010.5598688
  • Filename
    5598688