Human-Computer Interaction
Developing advanced user-focused interfaces and design methods that are shaping the future of technology.
Research Projects
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.
Enhancing Performance and Communication for Distributed Teams During Lunar Spacewalks
Principal Investigator(s): Susannah Paletz
Funder: NASA - Johnson Space Center Other Federal
Research Areas: Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): Susannah Paletz
Funder: NASA - Johnson Space Center Other Federal
Research Areas: Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Quantum Choreobotics: Democratizing Quantum Computing Through Interactive Dance/ Theater Performance, With On-Body Robots
Principal Investigator(s): Bill Kules
Funder: UMD Funded
Research Areas: Data Science, Analytics, and Visualization > Health Informatics > Human-Computer Interaction
Principal Investigator(s): Bill Kules
Funder: UMD Funded
Research Areas: Data Science, Analytics, and Visualization > Health Informatics > Human-Computer Interaction
Faculty
Recent News
Led by the University of Maryland, TRAILS was launched in May 2023 with a $20 million award from the National Science Foundation and the National Institute of Standards and Technology. The institute is focused on developing, building and modeling participatory research that—over time—will increase trust in AI. Illustration courtesy of TRAILS. Image via Maryland Today.
Maryland Today: $750K in Seed Grants Awarded by UMD-Led Coalition on Trustworthy AI
Six INFO faculty are among researchers awarded $750K+ in TRAILS funding to advance trustworthy, human-centered AI innovation
Working in the Small Artifacts (SMART) Lab, Assistant Professor of computer science Huaishu Peng (left) and doctoral students Zining Zhang (center) and Jiasheng Li discuss technology that can assist sight-impaired people. Photo by Mike Morgan Photography. Photo via Maryland Today.
Maryland Today: Blind People Struggle With Nonverbal Cues, A UMD-Cornell AI Project Could Help
INFO's Ge Gao is helping develop AI to assist blind professionals interpret nonverbal workplace cues
Photo licensed by Adobe Stock via InfiniteFlow