NDLI: Exploring human mental models of robots through explicitation interviews

Content Provider	IEEE Xplore Digital Library
Author	Syrdal, D.S. Dautenhahn, K. Kheng Lee Koay Walters, M.L. Otero, N.R.
Copyright Year	2010
Description	Author affiliation: Department of Information Systems, University of Minho, Guimaraes, Portugal (Otero, N.R.) \|\| Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, Hatfield, Herts, UK (Syrdal, D.S.; Dautenhahn, K.; Kheng Lee Koay; Walters, M.L.)
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.
Starting Page	638
Ending Page	645
File Size	477840
Page Count	8
File Format	PDF
ISBN	9781424479917
ISSN	19449445
e-ISBN	9781424479900
DOI	10.1109/ROMAN.2010.5598688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-13
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cognitive science Interviews Humans Robot vision systems Cameras Dogs
Content Type	Text
Resource Type	Article

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