Multimodal Accessibility Modeling
Multimodal Accessibility Modeling is a computational framework that integrates and analyzes multiple sensory modalities—such as visual, auditory, and textual data—to quantify and enhance the accessibility of information for diverse users, particularly those with disabilities, by systematically modeling the interactions between modalities and user-specific access requirements.
14
Publications
683
Citations
51
Authors
24
Institutions
Publications per year
2017–2026
8
Parents
14
Accessible Visualization: Design Space, Opportunities, and Challenges
Nam Wook Kim, S. C. Joyner, Amalia Riegelhuth et al. · Computer Graphics Forum · 2021 · 130 citations
Huilin Liang, Qi Yan, Yujia Yan et al. · Sustainable Cities and Society · 2023 · 85 citations
Lingbo Liu, Hanchen Yu, Jie Zhao et al. · ISPRS International Journal of Geo-Information · 2022 · 54 citations · Full text
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Wuhan University
Wuhan, China
1 h-index
5 publications
270 citations

Nanjing Forestry University
Nanjing, China
1 h-index
4 publications
340 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
4 publications
60 citations
ETH Zurich
Zurich, Switzerland
1 h-index
2 publications
90 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
130 citations
Nanjing Audit University
Nanjing, China
1 h-index
1 publications
58 citations
Center for Policy Analysis
San Francisco, United States
1 h-index
2 publications
108 citations
Nagoya University
Nagoya, Japan
1 h-index
4 publications
48 citations
1–8 of 24
2 publications · 275 citations
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1 publications · 12 citations
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1 publications · 130 citations
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1 publications · 58 citations
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1 publications · 21 citations
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