Uncanny but not confusing: Multisite study of perceptual category confusion in the Uncanny Valley

@article{Mathur2020UncannyBN,
  title={Uncanny but not confusing: Multisite study of perceptual category confusion in the Uncanny Valley},
  author={Maya B. Mathur and David B. Reichling and Francesca Lunardini and Alice Geminiani and Alberto Antonietti and Peter A. M. Ruijten and Carmel A. Levitan and Gideon Nave and Dylan Manfredi and Brandy Bessette-Symons and Attila Szuts and Balazs Aczel},
  journal={Comput. Hum. Behav.},
  year={2020},
  volume={103},
  pages={21-30}
}
Abstract Android robots that resemble humans closely, but not perfectly, can provoke negative feelings of dislike and eeriness in humans (the “Uncanny Valley” effect). We investigated whether category confusion between the perceptual categories of “robot” and “human” contributes to Uncanny Valley aversion. Using a novel, validated corpus of 182 images of real robot and human faces, we precisely estimated the shape of the Uncanny Valley and the location of the perceived robot/human boundary. To… Expand
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