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Discrepancies in perceived humanness between spatially filtered and unfiltered faces and their associations with uncanny feelings.
Ito, Motohiro; Suzuki, Atsunobu.
Afiliação
  • Ito M; Chukyo University, Japan.
  • Suzuki A; The University of Tokyo, Japan.
Perception ; 53(8): 529-543, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38752230
ABSTRACT
Human and artificial features that coexist in certain types of human-like robots create a discrepancy in perceived humanness and evoke uncanny feelings in human observers. However, whether this perceptual mismatch in humanness occurs for all faces, and whether it is related to the uncanny feelings toward them, is unknown. We investigated this by examining perceived humanness for a variety of natural images of robot and human faces with different spatial frequency (SF) information that is, faces with only low SF, middle SF, and high SF information, and intact (spatially unfiltered) faces. Uncanny feelings elicited by these faces were also measured. The results showed perceptual mismatches that LSF, MSF, and HSF faces were perceived as more human than intact faces. This was particularly true for intact robot faces that looked slightly human, which tended to evoke strong uncanny feelings. Importantly, the mismatch in perceived humanness between the intact and spatially filtered faces was positively correlated with uncanny feelings toward intact faces. Given that the human visual system performs SF analysis when processing faces, the perceptual mismatches observed in this study likely occur in real life for all faces, and as such might be a ubiquitous source of uncanny feelings in real-life situations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Emoções / Reconhecimento Facial Limite: Adult / Female / Humans / Male Idioma: En Revista: Perception Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Emoções / Reconhecimento Facial Limite: Adult / Female / Humans / Male Idioma: En Revista: Perception Ano de publicação: 2024 Tipo de documento: Article