ArticleJournal of vision2021
Creepy cats and strange high houses: Support for configural processing in testing predictions of nine uncanny valley theories.
Article in Journal of vision, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Article
- A review of level-1 visual perspective-taking: potential relationship with the uncanny valley effect.Frontiers in psychology · 2024Review
- Asynchrony enhances uncanniness in human, android, and virtual dynamic facial expressions.BMC research notes · 2023Article
- The inversion effect on the cubic humanness-uncanniness relation in humanlike agents.Frontiers in psychology · 2023Article
- Familiarity, orientation, and realism increase face uncanniness by sensitizing to facial distortions.Journal of vision · 2022Article
- Designing Man's New Best Friend: Enhancing Human-Robot Dog Interaction through Dog-Like Framing and Appearance.Sensors (Basel, Switzerland) · 2022Article
- The deviation-from-familiarity effect: Expertise increases uncanniness of deviating exemplars.PloS one · 2022Article
- Robot Voices in Daily Life: Vocal Human-Likeness and Application Context as Determinants of User Acceptance.Frontiers in psychology · 2022Article
- Chikamatsu, Mori, and the uncanny valley.i-PerceptionArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 1970, Masahiro Mori proposed the uncanny valley (UV), a region in a human-likeness continuum where an entity risks eliciting a cold, eerie, repellent feeling. Recent studies have shown that this feeling can be elicited by entities modeled not only on humans but also nonhuman animals. The perceptual and cognitive mechanisms underlying the UV effect are not well understood, although many theories have been proposed to explain them. To test the predictions of nine classes of theories, a within-subjects experiment was conducted with 136 participants. The theories' predictions were compared with ratings of 10 classes of stimuli on eeriness and coldness indices. One type of theory, configural processing, predicted eight out of nine significant effects. Atypicality, in its extended form, in which the uncanny valley effect is amplified by the stimulus appearing more human, also predicted eight. Threat avoidance predicted seven; atypicality, perceptual mismatch, and mismatch+ predicted six; category+, novelty avoidance, mate selection, and psychopathy avoidance predicted five; and category uncertainty predicted three. Empathy's main prediction was not supported. Given that the number of significant effects predicted depends partly on our choice of hypotheses, a detailed consideration of each result is advised. We do, however, note the methodological value of examining many competing theories in the same experiment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.