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Facial Mimicry and Metacognition in Facial Emotion Recognition1114Figure 3. Predicted confidence in emotion recognition depending on (A) social anxiety trait levels and (B) autistic trait levels by emotion category (anger, fear, sadness, surprise happiness, neutral). For illustrative purposes, predicted accuracies for mean values as well as mean values +/- 1 SD of the continuous variables social anxiety traits and autistic traits are depicted. Whiskers represent confidence intervals and significant effects are marked with an asterisk. The dashed horizontal line indicates mean predicted confidence (across all categories and trait levels).Facial Electromyography (fEMG) ResultsFacial Mimicry in Emotion RecognitionSocial anxiety traits. There was no significant interaction between corrugator activity and social anxiety traits in predicting emotion recognition accuracy of negative facial expressions, (i.e., anger, fear, and sadness, see Tables S11, S13 and S14 for the three model fits). The model on sad expressions did, however, reveal that accuracy was higher when the corrugator muscle was more strongly activated, %u03c72(1) = 4.631, p = 0.031, OR = 1.585. Furthermore, both zygomaticus activity as well as its interaction with social anxiety traits were significant predictors in the model on happy expressions, %u03c72(1) = 4.331, p = .037, OR = 6.240, and %u03c72(1) = -2.017, p = .044, OR = 0.213 respectively (Table S12 in the Supplemental Material). Hence,