Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices
By Chin-Chang Ho, Karl Frederic MacDorman. Computers in Human Behavior, 2010
483 citations recorded by the source corpus.
Subfields: Clinical Psychology, Experimental and Cognitive Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/ad6de2d9a36f851da4bef2c9f576a24ac502920a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Clinical Psychology
In Experimental and Cognitive Psychology
- Steven O. Entezari
- ChrisD . Frith
- Jon Driver
- Minglong Li
- Karl Frederic MacDorman
- Steven J. Stroessner
- Charles Spence
- J. Good
In Sociology and Political Science
- Steven O. Entezari
- Hailian Qiu
- Boyang Shu
- ChrisD . Frith
- Minglong Li
- Karl Frederic MacDorman
- Michael A. Perez
- Billy Bai
Citations in the corpus
- The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions (2011, background): “Contribution to the understanding of the uncanny valley The uncanny valley has many potential dimensions (MacDorman and Ishiguro, 2006; Ho and MacDorman, 2010; Pollick, 2009).”
- The Robotic Social Attributes Scale (RoSAS): Development and Validation (2017, background): “Warmth has been shown to be a focal underlying dimension of robot perception as well [4].”
- Individual differences predict sensitivity to the uncanny valley (2015, methodology): “Additional inclusion criteria were 18 or older, native English speaker, and 20/40 vision or better with correction.”
- Enhancing hospitality experience with service robots: the mediating role of rapport building (2019, background): “Uncanny valley theory suggests that the increasing level of anthropomorphism will fi rst improve the impression of robots by humans and then cause hatred or fear after anthropomorphism reaches a certain point (Ho & MacDorman, 2010).”