Project Overview

Next-day prenatal stress prediction algorithms have recently been developed, inferring personal moments of stress before they afflict the pregnant person and their child. However, for these machine learning (ML) algorithms, and the Just in Time Adaptive Interventions (JITAIs) leveraging them, to better align with pregnant peoples’ needs and goals, we must engage pregnant people in defining system requirements.

Process and Methods

Storyboards to discuss key ML and JITAI aspects with lay persons, Semi-structured interviews, 20 Design sessions (scenario, reflective activities, and prototype feedback) with pregnant people, Affinity Diagrams, Quantitative and qualitative survey analysis, Thematic analysis; essentially, User-centered design (UCD), ML + Design work, and Multi-lingual research (English and Spanish)

Deliverables

Design method to discuss ML with lay persons, academic posters and papers. This multi-year project is part of my PhD dissertation—more updates to come.

⚠️ Jan 2025: Under construction, more details to come soon