Research Projects
Filtered by: National Institutes of Health
Achieving Optimal Motor Function in Stroke Survivors via a Human-Centered Approach to Design an mHealth Platform
Principal Investigator(s): Eun Kyoung Choe
Funders: National Institutes of Health
Research Areas: Accessibility and Inclusive Design Health Informatics Human-Computer Interaction
Stroke rehabilitation, mHealth, Human-Computer Interaction
Partners: University of Massachusetts Amherst, Spaulding Rehabilitation Hospital, Formsense
Principal Investigator(s): Eun Kyoung Choe
Funders: National Institutes of Health
Research Areas: Accessibility and Inclusive Design Health Informatics Human-Computer Interaction
Stroke rehabilitation, mHealth, Human-Computer Interaction
Partners: University of Massachusetts Amherst, Spaulding Rehabilitation Hospital, Formsense
MAITC Pilot A34 – MAITC Pilot A: Empowering Caregivers of Individuals with Cognitive Impairment to Make Safe Nonprescription Drug Decisions
Principal Investigator(s): Eun Kyoung Choe
Funders: National Institute on Aging (NIH) National Institutes of Health
Research Areas: Accessibility and Inclusive Design Health Informatics Human-Computer Interaction Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project introduces Aidara, an AI-powered digital health system designed to help caregivers make safer over-the-counter medication decisions for individuals with cognitive impairments. By using large language models to simplify and present drug information through multimodal formats- including text, speech, and visuals- Aidara aims to enhance understanding, reduce health risks, and improve self-guided medication management.
Principal Investigator(s): Eun Kyoung Choe
Funders: National Institute on Aging (NIH) National Institutes of Health
Research Areas: Accessibility and Inclusive Design Health Informatics Human-Computer Interaction Machine Learning, AI, Computational Linguistics, and Information Retrieval
This project introduces Aidara, an AI-powered digital health system designed to help caregivers make safer over-the-counter medication decisions for individuals with cognitive impairments. By using large language models to simplify and present drug information through multimodal formats- including text, speech, and visuals- Aidara aims to enhance understanding, reduce health risks, and improve self-guided medication management.