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
Link To Document :
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