Health Informatics
Improving the ability to access, understand, and make use of health information.
Research Projects
P3 (Pregnancy and Postpartum/Preconception) EQUATE (Enhancing Access and Quality to Achieve Equitable Maternal and Infant Health) Network
Principal Investigator(s): Jasmine Garland McKinney
Funder: American Heart Association Other Non-Federal
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Information Justice, Human Rights, and Technology Ethics
This project validates the Prepartum Form for Evaluating Race-Related Psychological Stressors (PP-FERRPS)©, a screening tool designed to measure how race-related stressors affect Black perinatal women’s mental health. By refining this tool, the study aims to address gaps in traditional assessments and improve clinical support in maternal care.
Principal Investigator(s): Jasmine Garland McKinney
Funder: American Heart Association Other Non-Federal
Research Areas: Accessibility and Inclusive Design > Data Science, Analytics, and Visualization > Health Informatics > Information Justice, Human Rights, and Technology Ethics
This project validates the Prepartum Form for Evaluating Race-Related Psychological Stressors (PP-FERRPS)©, a screening tool designed to measure how race-related stressors affect Black perinatal women’s mental health. By refining this tool, the study aims to address gaps in traditional assessments and improve clinical support in maternal care.
CAREER: Self-Directed Human-LLM Coordination for Language Learning and Information Seeking
Principal Investigator(s): Ge Gao
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Health Informatics > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
This project uses AI-powered digital tutors to help individuals with limited majority-language proficiency improve their language skills for real-world information seeking. By enabling users to design personalized tutoring systems, the study advances language learning, AI literacy, and human-computer interaction.
Principal Investigator(s): Ge Gao
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Health Informatics > Human-Computer Interaction > Information Justice, Human Rights, and Technology Ethics > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
This project uses AI-powered digital tutors to help individuals with limited majority-language proficiency improve their language skills for real-world information seeking. By enabling users to design personalized tutoring systems, the study advances language learning, AI literacy, and human-computer interaction.
Human-Like Coaching for Home PT Exercises
Principal Investigator(s): Galina Madjaroff Reitz
Funder: Maryland Industrial Partnerships UMD Funded
Research Areas: Health Informatics > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Researchers are developing an AI-powered physical therapy coach that uses real-time motion tracking and personalized feedback to improve exercise adherence and outcomes. By simulating human-like interaction and emotional engagement, the project aims to make home-based rehabilitation more effective and accessible.
Principal Investigator(s): Galina Madjaroff Reitz
Funder: Maryland Industrial Partnerships UMD Funded
Research Areas: Health Informatics > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Researchers are developing an AI-powered physical therapy coach that uses real-time motion tracking and personalized feedback to improve exercise adherence and outcomes. By simulating human-like interaction and emotional engagement, the project aims to make home-based rehabilitation more effective and accessible.
Faculty
Staff
Recent News
From leveraging AI for pedestrian safety to creating better touchscreen kiosks, the Maryland Initiative for Digital Accessibility brings together scientists across campus to transform existing and emerging tech for people with disabilities. (Illustration by iStock) Photo via Maryland Today.
Maryland Today: Making Tech Accessible—With Benefits for All
INFO faculty lead groundbreaking research to make kiosks, PDFs, AI, and everyday technologies accessible for all
A lack of access to solid information has bred cynicism, depression and willingness to bend rules among the estimated 400 million people nationwide battling long COVID, according to new UMD research. Illustration by Adobe Stock via Maryland Today.
Maryland Today: COVID ‘Long-Haulers’ Lack Reliable Information, UMD Study Shows
INFO's Beth St. Jean finds long COVID patients face info gaps, fueling distrust and risky decisions