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Human-Like Robots and the Uncanny Valley : A Meta-Analysis of User Responses Based on the Godspeed Scales
Mara, Martina; Appel, Markus; Gnambs, Timo (2022): Human-Like Robots and the Uncanny Valley : A Meta-Analysis of User Responses Based on the Godspeed Scales, in: Zeitschrift für Psychologie = Journal of psychology, Göttingen: Hogrefe, Jg. 230, Nr. 1, S. 33–46, doi: 10.1027/2151-2604/a000486.
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Title of the Journal:
Zeitschrift für Psychologie = Journal of psychology
ISSN:
2190-8370
2151-2604
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Year of publication:
2022
Volume:
230
Issue:
1
Pages:
Language:
English
Abstract:
In the field of human-robot interaction, the well-known uncanny valley hypothesis proposes a curvilinear relationship between a robot’s degree of human likeness and the observers’ responses to the robot. While low to medium human likeness should be associated with increased positive responses, a shift to negative responses is expected for highly anthropomorphic robots. As empirical findings on the uncanny valley hypothesis are inconclusive, we conducted a random-effects meta-analysis of 49 studies (total N = 3,556) that reported 131 evaluations of robots based on the Godspeed scales for anthropomorphism (i.e., human likeness) and likeability. Our results confirm more positive responses for more human-like robots at low to medium anthropomorphism, with moving robots rated as more human-like but not necessarily more likable than static ones. However, because highly anthropomorphic robots were sparsely utilized in previous studies, no conclusions regarding proposed adverse effects at higher levels of human likeness can be made at this stage.
GND Keywords: ; ;
Humanoider Roboter
Akzeptanz
Mensch-Maschine-Kommunikation
Keywords: ; ; ; ;
uncanny valley
humanoid robot
anthropomorphism
likeability
meta-analysis
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Type:
Article
Activation date:
January 24, 2024
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https://fis.uni-bamberg.de/handle/uniba/93008