Blind User Support

Blind User Support is a methodological framework within augmented reality research that enables the inclusion of individuals with visual impairments by integrating non-visual modalities and accessible interaction techniques to compensate for the absence of visual input.

361

Publications

12.8K

Citations

1K

Authors

335

Institutions

Publications per year

2017–2026

152

Authors

1K

  1. JP
    Jeffrey P. Bigham

    Carnegie Mellon University, United States

    10 publications · 1K citations

    10

    h-index

  2. SK
    Shaun K. Kane

    University of Colorado Boulder, United States

    8 publications · 1.1K citations

    8

    h-index

  3. UO
    Uran Oh

    Ewha Womans University, South Korea

    8 publications · 234 citations

    8

    h-index

  4. BL
    Barbara Leporini

    Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy

    7 publications · 221 citations

    7

    h-index

  5. SA
    Shiri Azenkot

    Cornell University, United States

    7 publications · 522 citations

    7

    h-index

1–5 of 1K

Venues

  1. 9

    h-index

  2. Universal Access in the Information Society

    8 publications · 150 citations

    8

    h-index

  3. Journal of Visual Impairment & Blindness

    JVIB · 6 publications · 189 citations

    6

    h-index

  4. Sensors

    5 publications · 159 citations

    5

    h-index

  5. ACM Transactions on Accessible Computing

    TACCESS · 4 publications · 157 citations

    4

    h-index

1–5