Automated measurement of infant and mother Duchenne facial expressions in the Face‐to‐Face/Still‐Face.

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 expr...

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Publicado en:Infancy Vol. 28; no. 5; pp. 910 - 930
Autores principales: Ahn, Yeojin Amy, Önal Ertuğrul, Itir, Chow, Sy‐Miin, Cohn, Jeffrey F., Messinger, Daniel S.
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell Sep2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2023
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1111/infa.12556
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        atl: Automated measurement of infant and mother Duchenne facial expressions in the Face‐to‐Face/Still‐Face.
      aug:
        au:
          Ahn, Yeojin Amy
          Önal Ertuğrul, Itir
          Chow, Sy‐Miin
          Cohn, Jeffrey F.
          Messinger, Daniel S.
        affil: Department of Psychology, University of Miami, Coral Gables Florida,, USA
      sug:
        subj:
          Automation
          Facial Expression Evaluation
          Facial Expression Evaluation
          Mother-Infant Relations
          Human
          Infant
          Mothers
          Young Adult
          Adult
          Male
          Female
          Funding Source
          Software
          Criterion-Related Validity
          Crying
          Face Perception Evaluation
          Infant: 1-23 months
          Adult: 19-44 years
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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