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

Authors

51

  1. JR
    Julien Radoux

    UCLouvain, Belgium

    1 publications · 21 citations

    1

    h-index

  2. IK
    Ivan Kopeček

    Masaryk University, Czechia

    1 publications · 17 citations

    1

    h-index

  3. YH
    Yi Huang

    University of Illinois Urbana-Champaign, United States

    1 publications · 58 citations

    1

    h-index

  4. ML
    Moyin Li

    University of Illinois Chicago, United States

    1 publications · 12 citations

    1

    h-index

  5. HL
    Hong Liu

    Tianjin University, China

    1 publications · 15 citations

    1

    h-index

1–5 of 51

Venues

  1. Sustainable Cities and Society

    2 publications · 275 citations

    2

    h-index

  2. Sustainability

    1 publications · 12 citations

    1

    h-index

  3. Computer Graphics Forum

    1 publications · 130 citations

    1

    h-index

  4. Urban forestry & urban greening

    1 publications · 58 citations

    1

    h-index

  5. 1

    h-index

1–5