Human-likeness assessment for the Uncanny Valley Hypothesis

• Autorzy: Łupkowski P , Rybka M. , Dziedzic D. , Włodarczyk W.

Identyfikatory

DOI

10.1515/bams-2017-0008

• Języki publikacji: EN

Abstrakty

EN

The Uncanny Valley Hypothesis (UVH, proposed in the 1970s) suggests that looking at or interacting with almost human-like artificial characters would trigger eeriness or discomfort. We studied how well subjects can assess degrees of human likeness for computer-generated characters. We conducted two studies, where subjects were asked to assess human likeness of given computergenerated models (Study 1) and to point the most typical model for a given category (Study 2). The results suggest that evaluation of the way human likeness is assessed should be an internal part of UVH research.

Słowa kluczowe

EN

categorization; computer-generated model; human likeness; Uncanny Valley Hypothesis

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; De Gruyter
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2017
• Tom: Vol. 13, no. 3
• Strony: 125--131
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Łupkowski P

• Department of Logic and Cognitive Science, Institute of Psychology, Reasoning Research Group, Adam Mickiewicz University, ul. H. Wieniawskiego 1, Poznań, Poland

autor

Rybka M.

• Institute of Psychology, Reasoning Research Group, Adam Mickiewicz University, ul. H. Wieniawskiego 1, Poznań, Poland

autor

Dziedzic D.

• Department of Logic and Cognitive Science, Institute of Psychology, Adam Mickiewicz University, ul. H. Wieniawskiego 1, Poznań, Poland

autor

Włodarczyk W.

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University, ul. H. Wieniawskiego 1, Poznań, Poland

Bibliografia

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