Accessibility and Inclusive Design

Pioneering information technologies and solutions that are accessible and usable for people of all abilities.

Research Projects

RERC on Universal Access to ICT
Principal Investigator(s): J. Bern Jordan Hernisa Kacorri Amanda Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Human-Computer Interaction
Exploring and developing strategies to individualize generative artificial intelligence (AI) systems to make them provide better results tailored to each individual with a disability (starting with AI systems for visual question answering for blind people); identifying and more deeply understanding the failures in technology use by people who are older and developing design strategies to allow more seniors to understand products out of the box -- especially those technologies that are critical to independent living and engagement.
Accessible Visualization for Blind Users
Principal Investigator(s): Jonathan Lazar
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design
This project aims to enhance accessibility to large-scale data analysis for blind and low-vision individuals, bridging the gap in current tools and technologies. It focuses on creating cost-effective, user-friendly data representations based on sound, touch, and physical computing. The research involves understanding user needs and designing practical accessible data applications in collaboration with the blind community.

Recent News

Robot Companion

Integrating Robots in Homes to Support Autistic Youth

A TRAILS pilot study looks at how families can use AI robotic animal companions in support services for autistic children
Transcribing text to audio.

Democratizing Information: Volunteer Transcribers Enable Access to Cultural Heritage Materials

Crowdsourced transcriptions are making historical documents more accessible for those who use screen readers
Photo of a person writing on a tablet with a stethoscope

Photo illustration by iStock/Maria Herd M.A. ’19

MD Today: Reliable ER Translations Might Be Job for Humans, AI Together (ft. Ge Gao)

UMD researchers are part of team tackling potentially dangerous source of health care errors