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
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;
Conference_Titel :
RO-MAN, 2010 IEEE
Conference_Location :
Viareggio
Print_ISBN :
978-1-4244-7991-7
DOI :
10.1109/ROMAN.2010.5598688