Health Informatics
Improving the ability to access, understand, and make use of health information.
Research Projects
Achieving Optimal Motor Function in Stroke Survivors via a Human-Centered Approach to Design an mHealth Platform
Principal Investigator(s): Eun Kyoung Choe
Funder: National Institutes of Health Other
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
Funder: National Institutes of Health Other
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
The POD-Vis Cloud-Based Platform Generates Actionable Insights from Complex Clinical Datasets
Principal Investigator(s):
Funder: University of Maryland Baltimore Other
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Health Informatics
Principal Investigator(s):
Funder: University of Maryland Baltimore Other
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Health Informatics
CAREER: Advancing Remote Collaboration: Inclusive Design for People with Dementia
Principal Investigator(s): Amanda Lazar
Funder: National Science Foundation
Research Areas: Health Informatics > Human-Computer Interaction > Social Networks and Online Communities
Technology increasingly provides opportunities to interact remotely with others. People with cognitive impairment can be excluded from these opportunities when technology is not designed with their needs, preferences, and abilities in mind.
Principal Investigator(s): Amanda Lazar
Funder: National Science Foundation
Research Areas: Health Informatics > Human-Computer Interaction > Social Networks and Online Communities
Technology increasingly provides opportunities to interact remotely with others. People with cognitive impairment can be excluded from these opportunities when technology is not designed with their needs, preferences, and abilities in mind.
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Recent News
Dr. Zubin Jelveh: Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It
Using arrest and victimization records from the Chicago PD, a machine learning model can predict the risk of being shot in the next 18 …
Dual video conferencing in the proposed remote study design. While interacting with a testbed on a smartphone, a blind participant wearing smart glasses communicates with the experimenter through dual video conferencing. Two video streams are being sent to the experimenter: one from the participant’s smart glasses (a pair of Vuzix blade with the camera located on the top right corner) and the other from a laptop camera facing the participant on the same Zoom call.
Covid-19 Pandemic Moves Research on Assistive Technologies From the Lab to People’s Homes
Dr. Hernisa Kacorri’s research on object recognizers with blind participants required a pivot to remote usability testing, leading he …
Created by Alex Pilon, Artistic Director, Including Disability