MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation

Fuente: arXiv
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Main Authors: Seo, JooYoung, Xia, Yilin, Lee, Bongshin, McCurry, Sean, Yam, Yu Jun
Format: Preprint
Published: 2024
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author Seo, JooYoung
Xia, Yilin
Lee, Bongshin
McCurry, Sean
Yam, Yu Jun
author_facet Seo, JooYoung
Xia, Yilin
Lee, Bongshin
McCurry, Sean
Yam, Yu Jun
contents This paper investigates new data exploration experiences that enable blind users to interact with statistical data visualizations$-$bar plots, heat maps, box plots, and scatter plots$-$leveraging multimodal data representations. In addition to sonification and textual descriptions that are commonly employed by existing accessible visualizations, our MAIDR (multimodal access and interactive data representation) system incorporates two additional modalities (braille and review) that offer complementary benefits. It also provides blind users with the autonomy and control to interactively access and understand data visualizations. In a user study involving 11 blind participants, we found the MAIDR system facilitated the accurate interpretation of statistical visualizations. Participants exhibited a range of strategies in combining multiple modalities, influenced by their past interactions and experiences with data visualizations. This work accentuates the overlooked potential of combining refreshable tactile representation with other modalities and elevates the discussion on the importance of user autonomy when designing accessible data visualizations.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00717
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation
Seo, JooYoung
Xia, Yilin
Lee, Bongshin
McCurry, Sean
Yam, Yu Jun
Human-Computer Interaction
Graphics
This paper investigates new data exploration experiences that enable blind users to interact with statistical data visualizations$-$bar plots, heat maps, box plots, and scatter plots$-$leveraging multimodal data representations. In addition to sonification and textual descriptions that are commonly employed by existing accessible visualizations, our MAIDR (multimodal access and interactive data representation) system incorporates two additional modalities (braille and review) that offer complementary benefits. It also provides blind users with the autonomy and control to interactively access and understand data visualizations. In a user study involving 11 blind participants, we found the MAIDR system facilitated the accurate interpretation of statistical visualizations. Participants exhibited a range of strategies in combining multiple modalities, influenced by their past interactions and experiences with data visualizations. This work accentuates the overlooked potential of combining refreshable tactile representation with other modalities and elevates the discussion on the importance of user autonomy when designing accessible data visualizations.
title MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation
topic Human-Computer Interaction
Graphics
url https://arxiv.org/abs/2403.00717