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Grand Challenges

Grand Challenge 2

How do we design technology to be accessible at its inception — not as an add-on?

In 2023, more than one million people in Washington state — nearly 14% of the population — had a disability. While disability is part of so many individuals’ lived experiences, the majority of technology design addresses accessibility as an afterthought, if it addresses it at all.

For example, many AI systems generate code and media that is inaccessible or biased, yet data about disability and accessibility is lacking; most mobile apps and websites are inaccessible, yet accessibility verification and repair is neither well understood nor supported by modern tools; and repairing this puts a high legal and cost burden on all of the organizations adopting such technologies. Allen School researchers are pursuing “accessibility first” to ensure all technologies and related educational experiences reflect the vast array of human experiences and preferences — which ultimately benefits everyone.


Faculty Meeting the Challenge

Professor Emeritus


Accessibility; Human-Computer Interaction

Professor


Accessibility; Human-Centered AI; Human-Computer Interaction; Ubiquitous Computing, Sensing & Embedded Systems

Associate Professor


Computing Education Research; Fabrication; Human-Centered AI; Human-Computer Interaction

Professor


Accessibility; Ethics & Fairness; Fabrication; Human-Computer Interaction; Ubiquitous Computing, Sensing & Embedded Systems

Professor


Accessibility; Augmented, Virtual & Mixed Reality; Human-Computer Interaction; Ubiquitous Computing, Sensing & Embedded Systems


Collaborators & Partner Institutions


Selected Projects

CREATE awarded $4.6M for research on AI risks, opportunities for people with disabilities

This grant investigates bias, privacy, and security risks when GAI is used …

A11yBoard: Making digital artboards accessible to blind and low-vision users

Zhuohao (Jerry) Zhang, Jacob O. Wobbrock…

Jod: Examining Design and Implementation of a Videoconferencing Platform for Mixed Hearing Groups

Anant Mittal, Meghna Gupta, Roshni Poddar, Tarini Naik, Seethalakshmi Kuppuraj…

Teaching Accessible Computing

Alannah Oleson, Amy J. Ko, Richard E. Ladner…

Notably Inaccessible — Data Driven Understanding of Data Science Notebook (In)Accessibility

Venkatesh Potluri, Sudheesh Singanamalla, Nussara Tieanklin, Jennifer Mankoff…

Toward Language Justice: Exploring Multilingual Captioning for Accessibility

Aashaka Desai, Rahaf Alharbi, Stacy Hsueh, Richard E. Ladner, Jennifer Mankoff…