RESUMO
To better understand early positive emotional expression, automated software measurements of facial action were supplemented with anatomically based manual coding. These convergent measurements were used to describe the dynamics of infant smiling and predict perceived positive emotional intensity. Over the course of infant smiles, degree of smile strength varied with degree of eye constriction (cheek raising, the Duchenne marker), which varied with degree of mouth opening. In a series of three rating studies, automated measurements of smile strength and mouth opening predicted naïve (undergraduate) observers' continuous ratings of video clips of smile sequences, as well as naïve and experienced (parent) ratings of positive emotion in still images from the sequences. An a priori measure of smile intensity combining anatomically based manual coding of both smile strength and mouth opening predicted positive emotion ratings of the still images. The findings indicate the potential of automated and fine-grained manual measurements of facial actions to describe the course of emotional expressions over time and to predict perceptions of emotional intensity.
RESUMO
Infants with older siblings with Autism Spectrum Disorders (ASD-sibs) are at risk for socioemotional difficulties. ASD-sibs were compared to infants with typically developing older siblings (TD-sibs) using the face-to-face/still-face (FFSF) at 6 months and the Early Social Communication Scale (ESCS) at 8, 10, 12, 15, and/or 18 months. ASD-sibs smiled for a lower proportion of the FFSF than TD-sibs and lacked emotional continuity between episodes. With respect to TD-sibs, ASD-sibs engaged in lower rates of initiating joint attention at 15 months, lower rates of higher-level behavioral requests at 12 months, and responded to fewer joint attention bids at 18 months. The results suggest subtle, inconsistent, but multi-faceted deficits in emotional expression and referential communication in infants at-risk for ASDs.