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A Meta-analysis of the Uncanny Valley's Independent and Dependent Variables

Source record diel-2022-uv-meta · 2022 · ACM Transactions on Human-Robot Interaction
Evidence tier: A (peer-reviewed-journal) · Verification: verified-abstract (compiler confidence: high)
Bottom line: Across 72 studies the uncanny valley effect was large (Hedges' g = 1.01); face distortion produced the largest effect (g = 1.46), followed by distinct entities, realism rendering and morphing.

Citation

Alexander Diel, Sarah Weigelt, Karl F. MacDorman (2022). A Meta-analysis of the Uncanny Valley's Independent and Dependent Variables. ACM Transactions on Human-Robot Interaction, 11(1), Article 1. https://doi.org/10.1145/3470742

Verification entry (identifiers, resolvers, claims with source locations): /data/citations.json#diel-2022-uv-meta

Study design

Field Value
Design Meta-analysis: 72 of 468 screened studies; 247 effect sizes; moderator analysis by stimulus-creation technique and measure
Modality robot, cg-face, android
Stimuli 10 stimulus-creation techniques; 39 affect measures; 14 indirect measures
Participants (N) not recorded
N detail 72 studies, 247 effect sizes; published online 2021
Topics uncanny-valley, meta-analysis, mechanisms, measurement

Results

Metric Value Note
Overall effect Hedges' g = 1.01 [0.80, 1.22] 247 effect sizes
Face distortion g = 1.46 [0.69, 2.24] largest
Distinct entities g = 1.20 [1.02, 1.38]
Realism render g = 0.99 [0.62, 1.36]
Morphing g = 0.94 [0.64, 1.24]
Largest-effect affect measures threatening, likable, aesthetics, familiarity, eeriness
Largest-effect indirect measures dislike frequency, categorization RT, like frequency, avoidance, viewing duration

Moderators

Mechanism relevance

atypicality, perceptual-mismatch

Limitations

Cited in

Verification

Field Value
Status verified-abstract
Compiler confidence high
Checked on 2026-10-07
Via Semantic Scholar API abstract

Values on this page have not all been checked against the full text. Confirm them against the primary source before high-stakes use.