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Making data visualization more accessible for blind and low-vision individuals

Researchers have developed prototypes of data visualizations that enable blind and low-vision people who use screen readers to more easily explore information and gain deeper insights about chart data. They plan to turn these prototypes into a software tool that could help designers make data visualizations accessible and navigable. ....

Katharina Reinecke , Crystal Lee , Jacob Wobbrock , Arvind Satyanarayan , Amy Bower , Jiwoong Jang , Jonathan Zong , Daniel Hajas , Alan Lundgard , Summer Research Program , University College London , Artificial Intelligence Laboratory , Carnegie Mellon University , Paulg Allen School Of Computer Science , Department Of Physical Oceanography , National Science Foundation , Visualization Group , Woods Hole Oceanographic Institution , Global Disability Innovation Hub , Computer Science , Research Program , Eurographics Conference , Father Sharif , Physical Oceanography , National Science , Lind And Low Vision ,

Making data visualization more accessible for blind and low-vision individuals

Making data visualization more accessible for blind and low-vision individuals
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Katharina Reinecke , Crystal Lee , Jacob Wobbrock , Arvind Satyanarayan , Amy Bower , Jiwoong Jang , Jonathan Zong , Daniel Hajas , Alan Lundgard , Summer Research Program , University College London , Artificial Intelligence Laboratory , Carnegie Mellon University , Paulg Allen School Of Computer Science , Department Of Physical Oceanography , National Science Foundation , Visualization Group , Woods Hole Oceanographic Institution , Global Disability Innovation Hub , Computer Science , Research Program , Father Sharif , Physical Oceanography , National Science ,

Making data visualizations more accessible

MIT researchers conducted a study with blind and sighted readers to determine the most useful descriptive alternative text to include with a chart. They developed a four-level framework that can be used to evaluate the effectiveness of a chart caption, whether it is generated by a human author or a machine learning algorithm. ....

Arvind Satyanarayan , Meredith Ringel Morris , Alan Lundgard , Centers For Disease , Artificial Intelligence Laboratory , Ai Research , National Science Foundation , Institute Of Electrical , Google Research , Visualization Group , Disease Control , Computer Science , Electronics Engineers Visualization Conference , National Science ,