Accessibility Error Detection

Accessibility Error Detection is a systematic method within web accessibility research that identifies deviations from established accessibility standards or guidelines in digital content, distinguishing itself by focusing on the automated or semi-automated recognition of specific conformance failures affecting users with disabilities.

22

Publications

467

Citations

67

Authors

36

Institutions

Publications per year

2017–2026

9

Authors

67

  1. CP
    Costin Pribeanu

    National Institute for Research and Development in Informatics - ICI Bucharest, Romania

    2 publications · 43 citations

    2

    h-index

  2. SH
    Soon-Goo Hong

    Dong-A University, South Korea

    2 publications · 56 citations

    2

    h-index

  3. SL
    Stephanie Ludi

    University of North Texas, United States

    1 publications · 27 citations

    2

    h-index

  4. WA
    Wajdi Aljedaani

    University of North Texas, United States

    1 publications · 27 citations

    2

    h-index

  5. PK
    Pairin Katerattanakul

    Western Michigan University, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 67

Venues

  1. IEEE Access

    1 publications · 29 citations

    1

    h-index

  2. International Journal of Knowledge and Web Intelligence

    IJKWI · 1 publications · 11 citations

    1

    h-index

  3. 1

    h-index

  4. Informatica Economica

    1 publications · 30 citations

    1

    h-index

  5. Journal of Special Education Technology

    JSET · 1 publications · 15 citations

    1

    h-index

1–5