skip to Main Content

Coronavirus Information for the UC San Diego Community

Our leaders are working closely with federal and state officials to ensure your ongoing safety at the university. Stay up to date with the latest developments. View Details

Danielle Bragg

 

Wednesday, January 17, 2018 at 4:00 p.m.
CSE 1202 on the UCSD campus

Abstract:

Building Accessible Information Systems: A Data-Driven Approach

Computer scientists have made progress on many problems in information access: curating large datasets, developing machine learning techniques, building extensive networks, and designing interfaces to navigate various media. However, many of these solutions do not work well for people with disabilities, who total a billion worldwide (and nearly one in five in the US). For example, visual graphics and small text may exclude people with visual impairments, and text-based resources like search engines and text editors may not fully support people using unwritten sign languages.

In this talk, I will present three systems that expand and enrich access to information: 1) ASL-Search, an American Sign Language (ASL) dictionary trained on data from volunteer ASL students, 2) Smartfonts and Livefonts, scripts that reimagine the alphabet’s appearance to improve legibility for low-vision readers, and 3) ASL-Live, the first animated reading/writing system for ASL. These systems employ quantitative methods, using large-scale data collected through existing and novel crowdsourcing platforms to solve data scarcity problems and explore design spaces. They also involve people with disabilities in the solution process, to better understand and address accessibility problems.

Bio:

Danielle Bragg is a PhD candidate in Computer Science & Engineering at the University of Washington, advised by Richard Ladner. Her research focuses on building systems that improve access to information by leveraging modern computing capabilities in innovative ways. Her research interests combine human-computer interaction, accessibility, and applied machine learning. Her diverse past projects span computer music, data visualization, computational biology, applied mathematics, and network protocols. Before starting her PhD, she received her AB in Applied Mathematics from Harvard University.

Wednesday, January 17, 2018 at 4:00 p.m.
CSE 1202 on the UCSD campus
https://goo.gl/PJiRhJ (Google Map Link)

Read Next

Stride: Design-Centric Career Fair

January 15th, 2019 at 12 P.M. - 4:00 P.M.
PC East Ballroom

Dan Cosley (Cornell University)

October 10, 2013
Understanding Ourselves Through Our Online Behavior

Brian Goldfarb (UC San Diego)

May 14, 2014
Design with Care
Atkinson Hall 4004
Back To Top