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
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