Abstract
Although still-face effects are well-studied, little is known about the degree to which the Face-to-Face/Still-Face (FFSF) is associated with the production of intense affective displays. Duchenne smiling expresses more intense positive affect than non-Duchenne smiling, while Duchenne cry-faces express more intense negative affect than non-Duchenne cry-faces. Forty 4-month-old infants and their mothers completed the FFSF, and key affect-indexing facial Action Units (AUs) were coded by expert Facial Action Coding System coders for the first 30 s of each FFSF episode. Computer vision software, automated facial affect recognition (AFAR), identified AUs for the entire 2-min episodes. Expert coding and AFAR produced similar infant and mother Duchenne and non-Duchenne FFSF effects, highlighting the convergent validity of automated measurement. Substantive AFAR analyses indicated that both infant Duchenne and non-Duchenne smiling declined from the FF to the SF, but only Duchenne smiling increased from the SF to the RE. In similar fashion, the magnitude of mother Duchenne smiling changes over the FFSF were 2–4 times greater than non-Duchenne smiling changes. Duchenne expressions appear to be a sensitive index of intense infant and mother affective valence that are accessible to automated measurement and may be a target for future FFSF research.
Original language | English |
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Pages (from-to) | 910-929 |
Number of pages | 20 |
Journal | Infancy |
Volume | 28 |
Issue number | 5 |
DOIs | |
Publication status | Published - 1 Sept 2023 |
Bibliographical note
Funding Information:The project described was supported in part by National Institutes of Health grants MH096951, GM105004, U24 AA027684, UL1 TR002014‐06, IGE 1806874, SES 1823633, and National Science Foundation grant 1052736. We thank the families who participated. The authors declare no conflicts of interest with regard to the funding source for this study.
Publisher Copyright:
© 2023 International Congress of Infant Studies.
Funding
The project described was supported in part by National Institutes of Health grants MH096951, GM105004, U24 AA027684, UL1 TR002014‐06, IGE 1806874, SES 1823633, and National Science Foundation grant 1052736. We thank the families who participated. The authors declare no conflicts of interest with regard to the funding source for this study.
Funders | Funder number |
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National Science Foundation | 1052736 |
National Institutes of Health | U24 AA027684, MH096951, IGE 1806874, GM105004, UL1 TR002014‐06, SES 1823633 |