The topography of the uncanny valley and individuals’ need for structure: A nonlinear mixed effects analysis
Lischetzke, Tanja
;
Izydorczyk, David
;
Hüller, Christina
;
Appel, Markus
DOI:
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https://doi.org/10.1016/j.jrp.2017.02.001
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URL:
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http://www.sciencedirect.com/science/article/pii/S...
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Additional URL:
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https://www.researchgate.net/publication/313464532...
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Document Type:
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Article
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Year of publication:
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2017
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The title of a journal, publication series:
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Journal of Research in Personality
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Volume:
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68
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Page range:
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96-113
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Place of publication:
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Amsterdam [u.a.]
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Publishing house:
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Elsevier
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ISSN:
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0092-6566 , 1095-7251
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Publication language:
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English
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Institution:
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Außerfakultäre Einrichtungen > Graduiertenkolleg "Statistical Modeling in Psychology" (SMiP)
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Subject:
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150 Psychology
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Keywords (English):
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Androids , Eeriness , Human-robot interaction , Need for structure , Uncanny valley
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Abstract:
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The uncanny valley hypothesis suggests that robots that closely resemble humans elicit feelings of eeriness. We focused on individual differences in the uncanny valley experience, which have been largely neglected to date. Using a mixed effects modelling approach, we tested whether individual differences in the need for structure predict uncanny valley sensitivity. Two experiments (Ns=226 and 336) with morphed stimuli confirmed the uncanny valley effect. A moderator effect of need for structure was found in Experiment 2, which used a fine-grained manipulation of human likeness, but not in Experiment 1, which used a 3-step manipulation. The results provide tentative evidence that individuals who respond negatively to a lack of structure show a more pronounced (“deeper”) uncanny valley effect.
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| Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation. |
Search Authors in
BASE:
Lischetzke, Tanja
;
Izydorczyk, David
;
Hüller, Christina
;
Appel, Markus
Google Scholar:
Lischetzke, Tanja
;
Izydorczyk, David
;
Hüller, Christina
;
Appel, Markus
ORCID:
Lischetzke, Tanja, Izydorczyk, David ORCID: https://orcid.org/0000-0002-8792-0795, Hüller, Christina and Appel, Markus
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