The uncanny valley: a focus on misaligned cues

Lianne F. S. Meah*, Roger K. Moore

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

18 Citations (Scopus)


Increasingly, humanoid robots and androids are easing into society for a wide variety of different uses. Previous research has shown that careful design of such robots is crucial as subtle flaws in their appearance, vocals and movement can give rise to feelings of unease in those interacting with them. Recently, the Bayesian model for the uncanny has suggested that conflicting or misaligned cues at category boundaries may be the main attributing factor of this phenomenon. The results from this study imply that this is indeed the case and serve as empirical evidence for the Bayesian theory.

Original languageEnglish
Title of host publicationSocial robotics
Subtitle of host publication6th International Conference, ICSR 2014 Sydney, NSW, Australia, October 27-29, 2014 proceedings
EditorsMichael Beetz, Benjamin Johnston, Mary-Anne Williams
Place of PublicationCham
PublisherSpringer, Springer Nature
Number of pages10
ISBN (Electronic)9783319119731
ISBN (Print)9783319119724
Publication statusPublished - 2014
Externally publishedYes
EventInternational Conference on Social Robotics (6th : 2014) - Sydney, Australia
Duration: 27 Oct 201429 Oct 2014

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer International Publishing
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherInternational Conference on Social Robotics (6th : 2014)
Abbreviated titleICSR 2014


  • Uncanny valley
  • social robotics
  • human-robot interaction


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