Empower Lab

JITAI for Mental Health

Delivering just-in-time adaptive interventions for adolescent mental health

Description

This project explores the design of just-in-time adaptive interventions (JITAIs) to support adolescent mental health, with a particular focus on anxiety in girls. Drawing from a lineage of work that began with iCoach (a self-curation system) and evolved through collaborations on social media-based prediction and delivery of JITAIs, the project has grown into a broader initiative on technology-assisted mental health support.

The project is now anchored in a DCIS COBRE grant focused on adolescent anxiety, bringing together an interdisciplinary team of researchers in HCI, clinical psychology, and computer science. Our work examines how mobile and wearable technologies can detect early signals of distress and deliver timely, personalized interventions to support young people's well-being.

Collaborators

Bill Hudenko, Sarah Preum, Steve Voida, Clayton Lewis, Ben Genzel

Keywords

mental health

anxiety

adolescents

girls

JITAI

social media

machine learning

Team Members

Emma Ricci-De Lucca

Emma Ricci-De Lucca

Allen Song

Allen Song

Vafa Batool

Vafa Batool

Dylan Moore

Dylan Moore

Liz Murnane

Liz Murnane

Sonny Tao

Sonny Tao

Pape Sow Traoré

Pape Sow Traoré

Ajwa Shahid

Ajwa Shahid