Accessibility and Inclusive Design
Pioneering information technologies and solutions that are accessible and usable for people of all abilities.
Research Projects
REU Supplement: SCC-IRG Track 1: Inclusive Public Transit Toolkit to Assess Quality of Service Across Socioeconomic Status in Baltimore City
Principal Investigator(s): Vanessa Frias-Martinez Jessica Vitak Christopher Antoun
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Smart Cities and Connected Communities
Principal Investigator(s): Vanessa Frias-Martinez Jessica Vitak Christopher Antoun
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Smart Cities and Connected Communities
Campus Computation Center: Support, Enrichment & Computing Identity Development to Boost STEM Success
Principal Investigator(s): Katherine Izsak Ron Padrón Vedat G. Diker Bill Kules beth bonsignore
Funder: DoD-Navy
Research Areas: Accessibility and Inclusive Design > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): Katherine Izsak Ron Padrón Vedat G. Diker Bill Kules beth bonsignore
Funder: DoD-Navy
Research Areas: Accessibility and Inclusive Design > Human-Computer Interaction > Youth Experience, Learning, and Digital Practices
DASS: Learning Code(s): Community-Centered Design of Automated Content Moderation
Principal Investigator(s): Katie Shilton
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Social Networks, Online Communities, and Social Media
Principal Investigator(s): Katie Shilton
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Social Networks, Online Communities, and Social Media
Faculty
Staff
Recent News

Working in the Small Artifacts (SMART) Lab, Assistant Professor of computer science Huaishu Peng (left) and doctoral students Zining Zhang (center) and Jiasheng Li discuss technology that can assist sight-impaired people. Photo by Mike Morgan Photography. Photo via Maryland Today.
Maryland Today: Blind People Struggle With Nonverbal Cues. A UMD-Cornell AI Project Could Help.
INFO's Ge Gao is helping develop AI to assist blind professionals interpret nonverbal workplace cues
Photo licensed by Adobe Stock via InfiniteFlow
INFO Students Partner with Nonprofit to Overhaul Accessibility and Make a Bigger Impact
HCIM students gain real-world UX design experience working with the American Occupational Therapy Foundation on a website redesign
Sparsh Paliwal, HCIM '23