Making Technologies Accessible for All
The TRACE RERC is a research and development center at the University of Maryland, College Park. It is part of the College of Information and is funded by NIDILRR (the National Institute on Disability, Independent Living, and Rehabilitation Research.
Our Mission
Our mission at the Trace Research and Development Center is to capitalize on the potential that technologies hold for people experiencing barriers due to disability, aging, or digital literacy, and to prevent emerging technologies from creating new barriers for these individuals. In doing this, we bring together disciplines such as information science, computer science, engineering, disability studies, law, and public policy. We engage in research, development, tech transfer, education, policy, and advocacy.
Our vision is a world that is accessible and usable by people of all ages and all abilities – each experiencing information and technologies in a way that they can understand and use.
What is TRACE Working on Right Now?
AI and Accessibility
Existing AI technologies are increasing in number faster than assistive technologies, which leaves some people with disabilities behind. How can we incorporate individuals with disabilities when forming datasets?
Technology and Older Adults
Our technology-focused society often leaves out people who are unable to learn skills such as opening a browser, emailing, etc. How do older adults feel about technology and the constant changes that are being made?
Accessible Kiosks
With a rise in touchscreen-based kiosks in public places, recreation of accessible kiosks is necessary, especially for individuals who need assistive technologies, such as screen readers, to read content. How can kiosks be designed to incorporate features for blind and low-vision users?
Technologies Developed By TRACE
Morphic
Morphic is an application that makes computers more accessible by providing accessibility and usability features (such as large text or color contrast) that can be used on any computer or device that has Morphic installed.
PEAT
Photosensitive Epilepsy is a condition in which a person is susceptible to seizures when exposed to content (such as videos, movies, and games) with specific features, like flashing lights or visual patterns. PEAT, or Photosensitive Epilepsy Analysis Tool, is a software program that can be used to scan content for sensitive material to help creators release content that can be enjoyed by all.
EZ Access
EZ Access is a set of interface enhancements that can make transaction machines and kiosks more accessible to people with disabilities, especially those who are Blind or Low Vision. It involves a tactile keypad with raised buttons that users can feel and press.
Learn About Our History
The Trace R&D Center was formed in 1971 by Gregg Vanderheiden. Since then, it has developed numerous technologies and tools that help people with varying abilities.
News
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Information Wayfinding of Screen Reader Users
The representations created in this study can help people understand the versatility of screen readers, and can inspire innovation and changes to these technologies for people with disabilities. UMD researchers J. Bern Jordan, Victoria Van Hyning, Mason A. Jones, Rachael Bradley Montgomery, Elizabeth Bottner, and Evan Tansil had the opportunity to present their research on… Continue Reading Information Wayfinding of Screen Reader Users
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Publication of TRACE Research on Photosensitive Epilepsy Guidelines
Being able to recognize when content can be harmful for individuals with photosensitive epilepsy can give people the opportunity to release content that is safe for all viewers. TRACE researchers Dr. Bern Jordan and Dr. Gregg Vanderheiden recently had their work on photosensitive epilepsy published in the ACM Transactions on Accessible Computing journal. Photosensitive epilepsy,… Continue Reading Publication of TRACE Research on Photosensitive Epilepsy Guidelines
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Exploring Videoconferencing for Older Adults with Cognitive Concerns
Understanding the opinions and thoughts of older adults when it comes to videoconferencing can lead to more inclusive designs for these populations. UMD researchers Ruipu Hu, Ge Gao, and Amanda Lazar had the opportunity to present their research on videoconferencing with older adults at the 2024 ASSETS conference (an accessibility and computing conference)! “While videoconferencing… Continue Reading Exploring Videoconferencing for Older Adults with Cognitive Concerns
