Assistive Input Technologies

Assistive Input Technologies is a singular academic concept referring to a specialized class of input modalities designed to augment or substitute traditional human–computer interaction methods, distinguished by their purpose of enabling access to computing systems for individuals with sensory, motor, or cognitive impairments through adaptive interfaces, alternative control mechanisms, or context-aware responsiveness.

111

Publications

4.6K

Citations

372

Authors

169

Institutions

Publications per year

2017–2026

26

Authors

372

  1. NN
    Nirbhay N. Singh

    University of Bari Aldo Moro, Italy

    4 publications · 91 citations

    4

    h-index

  2. GE
    Giulio E. Lancioni

    University of Bari Aldo Moro, Italy

    4 publications · 91 citations

    4

    h-index

  3. IS
    I. Scott MacKenzie

    York University, Canada

    4 publications · 152 citations

    4

    h-index

  4. CS
    Ching‐Hsiang Shih

    National Dong Hwa University, Taiwan

    5 publications · 72 citations

    4

    h-index

  5. MF
    Mark F. O’Reilly

    The University of Texas at Austin, United States

    4 publications · 91 citations

    4

    h-index

1–5 of 372

Venues

  1. 6

    h-index

  2. Assistive Technology

    5 publications · 78 citations

    5

    h-index

  3. Procedia Computer Science

    4 publications · 124 citations

    4

    h-index

  4. Research in Developmental Disabilities

    4 publications · 51 citations

    4

    h-index

  5. Augmentative and Alternative Communication

    AAC · 3 publications · 117 citations

    3

    h-index

1–5