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Updated: Mar 8, 2026
07:34
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
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Categorization-based stranger avoidance does not explain the uncanny valley effect.
Karl F MacDorman1, Debaleena Chattopadhyay2
1Indiana University School of Informatics and Computing, 535 West Michigan St., Indianapolis, IN 46202, USA.
Cognition
|January 23, 2017
Summary
The uncanny valley effect, or eeriness from near-human entities, is not due to stranger categorization. Realism inconsistency theory better explains these negative feelings from conflicting perceptual cues.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Robotics
Background:
- The uncanny valley hypothesis suggests near-human entities evoke eeriness.
- Categorization-based stranger avoidance theory posits this is due to novel category assignment.
- Existing evidence and infant studies challenge the stranger avoidance explanation.
Purpose of the Study:
- To test the validity of categorization-based stranger avoidance theory for the uncanny valley.
- To investigate an alternative explanation: realism inconsistency theory.
Main Methods:
- Replicated an experiment using a more realistic 3D computer model.
- Analyzed viewer responses to near-human entities.
Main Results:
- The study found no support for categorization-based stranger avoidance theory.
- Realism inconsistency theory provides a more plausible explanation for uncanny valley phenomena.
Conclusions:
- The uncanny valley is likely caused by prediction errors arising from conflicting perceptual cues between categories.
- Realism inconsistency theory can explain negative responses to entities like computer-generated humans and even different species.
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