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Exploring data visualization accessibility / Ather Sharif.

Springer Nature - Springer Computer Science eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Sharif, Ather, author.
Series:
Computer Science Series
Language:
English
Subjects (All):
Information visualization.
User interfaces (Computer systems).
Human-computer interaction.
Computer graphics.
Physical Description:
1 online resource (xix, 273 pages) : illustrations, maps, charts
Edition:
1st ed.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
Data visualizations are increasingly used to communicate essential insights. However, these visualizations are inaccessible to screen-reader users, further exacerbating the digital divide. Evidence shows that creators have minimal knowledge about accessibility. To address these concerns, this book provides foundational and cutting-edge knowledge about visualization accessibility. Starting with a brief history of data visualizations and shedding light on the disenfranchisement caused by their inaccessibility, the author presents a detailed overview of the modalities used for visualization accessibility, highlighting their advantages and shortcomings. In addition, the book delves into various interaction mechanisms, exploring user agency and closing with future avenues to make visualizations equitably accessible. Overall, Exploring Data Visualization Accessibility enables students, researchers, and practitioners to learn more about this topic and employ best practices in creating visualizations that can benefit all.
Contents:
What to expect from this book?- Understanding screen-reader users’ experiences
Part 1: Common modalities
Alternative textual description
Sonifcation
Data tables
Part 2: Non-keyboard-based interaction mechanisms
Touch-based interaction
Verbal interaction
Part 3: Supporting visualization creators
Current experiences of creators
Solutions to enhance the experiences of visualization creators
Part 4: Future directions
Artifcial intelligence, large-language models, and new technologies
Equitable information extraction.
Notes:
Includes bibliographical references and index.
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-07186-0
9783032071866
OCLC:
1573147088

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