As a part of their participation in AccessComputing, the Information Systems Department at UMBC:
- has a representative on AccessComputing phone calls;
- participates in an AccessComputing Community of Practice;
- participated in an AccessComputing Capacity-Building Institute;
- will participate in some future training, Capacity-Building Institute, or other AccessComputing Activity;
- makes their department more accessible and more welcoming to students with disabilities;
- collects data about students with disabilities at their institution;
- works to improve accessibility of their website and publications;
- has hosted interns funded by AccessComputing;
- will build a closer relationship between faculty and disability support services and make mainstream students become more aware of issues that students with disabilities face; and
- plans to partner with institutions that serve large populations of students with disabilities to build community, work together on accessibility research, and exchange best practices.
University of Maryland, Baltimore County AccessComputing Team Members
Amy Hurst is an assistant professor in the Information Systems Department at UMBC. She studies automatically adaptive systems and builds tools to empower individuals to "Do It Yourself" and build their own accessibility solutions.
Denise Perdue is the coordinator for Student Support Services at UMBC.
Lisa Anthony is a post-doctoral research associate in the Information Systems Department at UMBC. Her research interests include understanding how children can make use of advanced interaction techniques, with a special emphasis on pen and gesture interaction for desktop and mobile applications in education, healthcare, and serious games.
Ravi Kuber is an assistant professor of Information Systems at UMBC. His research helps the blind and older adult communities overcome barriers faced when interacting with existing technologies, through the design of haptic and multimodal interfaces.
Shaun Kane is an assistant professor in the Information Systems Department at UMBC. His research examines technologies that automatically adapt to existing human behaviors based on unobtrusive detection of human actions.