Workshops: AccessViz: 3rd Workshop on Accessible Data Visualization
Organizers: Brianna Wimer, Pramod Chundury, Frank Elavsky, Stacy Hsueh, Keke Wu, Ji Hwan Park, Mona Alzahrani, Shuqi He, Md Abu Bakar Siddique, Gene S-H Kim, Naimul Hoque, Danielle Albers Szafir, Dominik Moritz
Data visualization is widely applied in fields such as data science, machine learning, healthcare, business, and education. Nevertheless, visual representations may create barriers for individuals with sensory, motor, cognitive, or neurological disabilities. Consequently, the accessibility and visualization research communities have increasingly prioritized the development of accessible data visualizations. Research efforts encompass user studies with people with disabilities to identify access barriers, the formulation of theoretical frameworks, and the creation of technical solutions, including autogenerated textual descriptions, sonification, and tactile or physical artifacts. Despite increased attention, these perspectives remain fragmented across venues and subcommunities, which limits sustained interdisciplinary dialogue. In response to the increasing interest and ongoing challenges at this intersection, the in-person Accessible Data Visualization (AccessViz) workshop aims to convene researchers, practitioners, and members of the disability community to foster collaboration, share innovative findings, and shape the future of accessible data visualization research at IEEE VIS. The workshop is expected to stimulate new contributions and support the development of a sustained research agenda focused on accessibility in visualization at IEEE VIS.