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• Understanding and Reducing the Challenges Faced by Creators of Accessible Online Data Visualizations

  Ather Sharif, Joo Gyeong Kim, Jessie Zijia Xu, Jacob O. Wobbrock · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24)

  This paper investigates the challenges visualization creators face in making online data visualizations accessible to screen-reader users and develops interventions to address these challenges. Data visualizations (charts, graphs, maps, dashboards) are increasingly prevalent on…

  data visualization · screen readers · web accessibility · sonification · blind and low vision

• MAIDR Meets AI: Exploring Multimodal LLM-Based Data Visualization Interpretation by and with Blind and Low-Vision Users

  JooYoung Seo, Sanchita S. Kamath, Aziz Zeidieh, Saairam Venkatesh, Sean McCurry · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind and low-vision (BLV) users interact with large language models to interpret data visualizations, building on the authors' previously developed MAIDR (Multimodal Access and Interactive Data Representation) framework. MAIDR already provides…

  blind and low vision · data visualization · large language models · generative AI · sonification

• Understanding Low Vision Graphical Perception of Bar Charts

  Yash Prakash, Akshay Kolgar Nayak, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how low-vision users who rely on screen magnifiers perceive and interact with bar charts, addressing a significant gap in data visualization accessibility research. While studies on chart perception have extensively examined sighted users and some have…

  low vision · data visualization · bar charts · screen magnifier · graphical perception

• ChartA11y: Designing Accessible Touch Experiences of Visualizations with Blind Smartphone Users

  Zhuohao Zhang, John R. Thompson, Aditi Shah, Manish Agrawal, Alper Sarikaya, Jacob O. Wobbrock, Edward Cutrell, Bongshin Lee · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

  This paper presents ChartA11y, an iOS mobile application that makes 2-D data visualizations accessible to blind and low-vision (BLV) smartphone users through multimodal touch interactions. Developed through an iterative participatory design process involving 13 co-design…

  data visualization · blind and low vision · touchscreen accessibility · sonification · multimodal interaction

• Beyond Sight: Empowering Visually Impaired Users with Audible Graphs

  Wajdi Aljedaani, Uday Kiran Chimpiri, Durgasantosh Gaddam, Vaseem Ahammed Shaik, Yaswitha Karasala, Marcelo M. Eler · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This technical note presents a tool designed to make data visualizations accessible to people with visual impairments by converting them into audible and textual representations. The tool addresses a significant gap: while data visualization is central to modern information…

  data visualization · visual impairments · sonification · screen readers · optical character recognition

• IMAGE: An Open-Source, Extensible Framework for Deploying Accessible Audio and Haptic Renderings of Web Graphics

  Juliette Regimbal, Jeffrey R. Blum, Cyan Kuo, Jeremy R. Cooperstock · 2024 · ACM Transactions on Accessible Computing

  This paper introduces IMAGE (Internet Multimodal Access to Graphical Exploration), an open-source software framework designed to help accessibility practitioners create and deploy audio and haptic representations of web graphics. The authors address a critical problem in…

  web graphics · sonification · haptic feedback · multimodal interaction · open source

• Health Data Visualization Literacy Skills of Young Adults with Down Syndrome and the Barriers to Inference-making

  Rachel Wood, Jinjuan Heidi Feng, Jonathan Lazar · 2024 · ACM Transactions on Accessible Computing

  This exploratory study is the first to examine how young adults with Down Syndrome read and interpret health data visualizations (HDVs). The researchers conducted semi-structured interviews with ten participants (ages 16-29) as they viewed six different health visualizations…

  Down Syndrome · data visualization · health informatics · graphicacy · cognitive accessibility

7 results.