Personalized Access Technologies

Personalized Access Technologies is a class of assistive computing systems that adapt interface, input, or output modalities to individual user capabilities and preferences, distinguished by their use of user-specific modeling and dynamic customization to enable equitable access to digital environments.

23

Publications

679

Citations

75

Authors

28

Institutions

Publications per year

2017–2026

4

Authors

75

  1. VL
    Vicki L. Hanson

    University of Dundee, United Kingdom

    3 publications · 101 citations

    3

    h-index

  2. PB
    Peter Brusilovsky

    University of Pittsburgh, United States

    2 publications · 77 citations

    2

    h-index

  3. MY
    Michael Yudelson

    University of Pittsburgh, United States

    2 publications · 77 citations

    2

    h-index

  4. LG
    Luis Gravano

    Columbia University, United States

    2 publications · 83 citations

    2

    h-index

  5. YY
    Y Yiwen Wang

    1 publications · 48 citations

    1

    h-index

1–5 of 75

Venues

  1. IEEE Signal Processing Magazine

    1 publications · 23 citations

    1

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Multimedia

    1 publications · 56 citations

    1

    h-index

  4. Personal and Ubiquitous Computing

    1 publications · 17 citations

    1

    h-index

  5. TU/e Research Portal (Eindhoven University of Technology)

    Repository · 1 publications · 23 citations

    1

    h-index

1–5