Enabling Accessible Charts Through Interactive Natural Language Interface for People with Visual Impairments

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dc.contributor.advisorPrince, Enamul Hoque
dc.contributor.authorAlam, Md Zubair Ibne
dc.date.accessioned2023-03-28T21:16:36Z
dc.date.available2023-03-28T21:16:36Z
dc.date.copyright2022-11-18
dc.date.issued2023-03-28
dc.date.updated2023-03-28T21:16:35Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractWeb-based data visualizations have become very popular for exploring data and communicating insights. Newspapers, journals, and reports regularly publish visualizations to tell compelling stories with data. Unfortunately, most visualizations are inaccessible to readers with visual impairments. For many charts on the web, there are no accompanying alternative (alt) texts, and even if such texts exist they do not adequately describe important insights from charts. To address the problem, we first interviewed 15 blind users to understand their challenges and requirements for reading data visualizations. Based on the insights from these interviews, we developed \seechart, an interactive tool that automatically deconstructs charts from web pages and then converts them to accessible visualizations for blind people by enabling them to hear the chart summary as well as to interact through data points using the keyboard. Our evaluation with 14 blind participants suggests the efficacy of SeeChart in understanding key insights from charts and fulfilling their information needs while reducing their required time and cognitive burden.
dc.identifier.urihttp://hdl.handle.net/10315/40987
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subjectInformation technology
dc.subjectWeb studies
dc.subject.keywordsAccessibility
dc.subject.keywordsAccessible interface
dc.subject.keywordsInterface design
dc.subject.keywordsHuman-computer interaction
dc.subject.keywordsNatural language generation
dc.subject.keywordsData visualization
dc.titleEnabling Accessible Charts Through Interactive Natural Language Interface for People with Visual Impairments
dc.typeElectronic Thesis or Dissertation

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