University of Utrecht researcher Itir Onal Ertugrul, University of Miami researchers Yeojin Amy Ahn and Daniel Messinger along with others published a study on automated facial action recognition in infants – which focuses on training Action Unit detectors.
In early 2020, in-person data collection dramatically slowed or was completely halted across the world as many labs were forced to close due to the COVID-19 pandemic. Developmental researchers who assess looking time (especially those who rely heavily on in-lab eye-tracking or live coding techniques) were forced to re-think their methods of data collection. Read more “Remote Data Collection During a Pandemic: A New Approach for Assessing and Coding . . .”
Infant attachment is a critical indicator of healthy infant social-emotional functioning, which is typically measured using the gold-standard Strange Situation Procedure (SSP). However, expert-based attachment classifications from the SSP are time-intensive (with respect both to expert training and rating), and do not provide an objective, continuous record of infant behavior. Read more “Continuous Measurement of Attachment Behavior: A Multimodal View of the Strange Situation Procedure”