Research Team

Developing an AI enabled program that codes parent-infant interaction quality

Team Research

Award: 2020 Compassion and Technology Fellow

  • Artificial intelligence
  • Person-centered care

Optimal parent-child interactions are the foundation for healthy child development, including language, cognition and immune health. Many parents are challenged to engage optimal parent-child interactions due to stressors such as mental illness, addictions, trauma and pediatric hospitalization, putting their children’s health and development at risk. Identifying poor parent-infant interactions can enable targeted support for these infants and parents but current assessment methods are time-consuming and costly. The Group’s work will develop an AI enabled software program to rapidly code interactions so clinicians can provide timely feedback aimed at improving parent-child interactions, and child health and development.