Concepedia

Data Table Accessibility

Data Table Accessibility is a methodological framework designed to ensure that tabular data presentations are perceivable, operable, and understandable by users with diverse abilities, particularly through structured semantic markup, responsive design, and assistive technology compatibility, within the domain of web-based information systems.

1

Publications

25

Citations

4

Authors

1

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

4

  1. CJ
    Crescentia Jung

    Cornell University, United States

    1 publications · 25 citations

    1

    h-index

  2. YW
    Yanan Wang

    Northwest A&F University, China

    1 publications · 25 citations

    1

    h-index

  3. YK
    Yea‐Seul Kim

    University of Washington, United States

    1 publications · 25 citations

    1

    h-index

  4. RW
    Ruobin Wang

    Huazhong University of Science and Technology, China

    1 publications · 25 citations

    1

    h-index

1–4 of 4

Institutions

1

  1. University of Wisconsin–Madison

    Madison, United States

    1 h-index

    4 publications

    100 citations

1–1 of 1

Venues

  1. CHI Conference on Human Factors in Computing Systems

    Conference · 1 publications · 25 citations

    1

    h-index

1–1