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Assessing Human Likeness by Eye Contact in an Android Testbed

Bibliographic Data

ID8084493
AuthorsStephen J Cowley (0000-0002-5374-9889, corresponding author), Shivam Gupta (0000-0003-0633-3917), Hiroshi Ishiguro (0000-0002-0805-7648), Shoji Itakura (0000-0003-1713-2002), Karl F Macdorman (0000-0003-1093-4184), Takashi Minato (0000-0003-4071-1352), Michihiro Shimada
Year2005
Volume27
Issue27
Pages44-6
Publication date2005-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueProceedings of the Annual Meeting of the Cognitive Science Society (JOURNAL)
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/15265161.2013.872314
PMID24521339
OpenAlexW24521339
LanguageEN
Citations received10
References cited10

The development of robots that closely resemble human beings enables us to investigate many phenomena related to human interactions that could not otherwise be investigated with mechanical-looking robots.This is because more humanlike devices are in a better position to elicit the kinds of responses people direct at each other.In particular, we cannot ignore the role of appearance in giving us a subjective impression of social presence or intelligence.However, this impression is influenced by behavior and the complex relationship between it and appearance.As Masahiro Mori observed, a humanlike appearance does not necessarily give a positive impression.We propose a hypothesis as to how appearance and behavior are related and map out a plan for android research to investigate this hypothesis.We then examine a study that evaluates the behavior of androids according to the patterns of gaze fixations they elicit in human subjects.Studies such as these, which integrate the development of androids with the investigation of human behavior, constitute a new research area fusing engineering and science

Android (operating system · Eye contact · Gaze · Robot · Testbed · Uncanny valley · World Wide Web · Computer Science · Face Recognition and Perception · Psychology · Social Robot Interaction and HRI · Visual Attention and Saliency Detection · Artificial Intelligence · Communication

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Unique citing works10
Citations per year0,56
Citation span2008 - 2020 (13)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 10

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