… triadic activity across the first year, de Barbaro and colleagues identified all instances of “maternal
bids” within mother–infant free-play interactions (de Barbaro, Johnson, Forster & Deák…

… Next, we cluster these users in an unsupervised fashion using K-Means (K=2) clustering. …
and evaluate multiple classification models, and use k-fold cross-validation (k=5). Finally, we …

Tonic and phasic differences in peripheral autonomic nervous system (ANS) indicators
strongly predict differences in attention and emotion regulation in developmental populations. …

… [see de Barbaro, Johnson, Forster, & Deák, under revision; for methodological considerations
for pursuing the distributed approach we describe here quantitatively, see de Barbaro, …

Recent advances in large-scale data storage and processing offer unprecedented
opportunities for behavioral scientists to collect and analyze naturalistic data, including from …

… Instead, they spend the majority of time (over 50% of a play episode) looking at objects being
manipulated either by their caregivers or themselves (de Barbaro, Johnson, & Deák, 2014; …

… We previously tested some of the behavioral predictions of the AJMA in a rich naturalistic
environment with many potential distractors (de Barbaro et al., 2011). We assessed 6- to 7-…

The temporal structure of behavior contains a rich source of information about its dynamic
organization, origins, and development. Today, advances in sensing and data storage allow …

… Although we cannot experimentally test those mechanisms in human infants, we can test
behavioral predictions in human or artificial infants (de Barbaro et al., 2011; Schlesinger & …

… de Barbaro, K. (2019). Automated sensing of daily activity: A new lens into … Yao X., Plötz T.,
Johnson M., de Barbaro K. (2019). Automated detection of infant holding … Kaya de Barbaro …