JiWoong Jang

MIT Department: Electrical Engineering and Computer Science
Faculty Mentor: Prof. Arvind Satyanarayan
Undergraduate Institution: Carnegie Mellon University
Research Poster


My name is JiWoong Jang, though I often go by Joon, and I’m originally from Seoul, South Korea. I’m currently a rising senior at Carnegie Mellon University, majoring in Artificial Intelligence, and minoring in Human-Computer Interaction.

My research interests are strongly motivated by my impairments in mobility, vision, and hearing and lie at the intersection of accessibility, disability studies, and machine learning. In the near future, I hope to pursue a Ph.D. exploring effective modalities of conveying real-time information (visual, haptics, auditory, etc.) in contexts involving individuals with disabilities.

2021 Abstract

Towards Richer Experiences with Accessible Data Visualizations

JiWoong Jang1, Arvind Satyanarayan2
1School of Computer Science, Carnegie Mellon University
2Department of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology

Though they are increasingly viewed as a critical component in all manner of modern Web-based discourse, today’s data visualizations are often inaccessible to blind/low-vision users, despite the proliferation of web standards and accommodating technology like screen-readers. Current best practices of providing Accessible Rich Internet Application (ARIA)/alt-descriptions and interleaved data tables have not shown to provide experiences sufficiently comparable to those of sighted users. This project, and future work evolving from it, seeks to advance current understanding about possible forms accessible data visualizations can take on the Web, such that screen-reader users can meaningfully and effectively navigate and comprehend the semantics encoded in the visualization. Towards this goal, we propose a formalized design space for data visualizations accessible for screen-reader users, one informed by the intersection of interaction design, disability studies, and visualization task taxonomy literature. In this design space, spanned by information abstraction, data structuring, navigation, and sensory output modalities, we provide a partial exploration with prototypes developed through a participatory design process. The results from this project offer preliminary recommendations for developers of web accessibility standards, screen-readers, and visualization authoring tools on providing support for the creation of usable and accessible data visualizations, ones capable of providing rich experiences for blind/low-vision users.