Usability Study of an Explainable AI-driven Risk Assessment Tool for the Prediction of Postpartum Depression

The focus of the research is on the challenges associated with achieving explainability in analytics and AI powered approaches applied in risk predictions in maternal health. As part of this research, we aim to conduct a usability study of an AI-driven postpartum depression risk assessment tool engaging healthcare providers - including doctors, nurses, and midwives - as participants. The usability study will assess healthcare provider's interactions and engagement with the web-based tool, measured by the System Explainability Scale (SES) Score, which quantifies its overarching Explainability, considering the dimensions of understandability, trust, and usability.