Learning Interfaces

Learning Interfaces is an adaptive user interface system that autonomously improves its interaction strategies over time through the integration of machine learning techniques to model user behavior, preferences, and performance within a given task environment.

132

Publications

9.1K

Citations

419

Authors

175

Institutions

Publications per year

2017–2026

48

Authors

419

  1. AS
    Aaron Steinfeld

    Carnegie Mellon University, United States

    3 publications · 103 citations

    3

    h-index

  2. LH
    L.A. Hermens

    Washington State University, United States

    3 publications · 147 citations

    3

    h-index

  3. PE
    Peter Edwards

    University of Aberdeen, United Kingdom

    3 publications · 128 citations

    3

    h-index

  4. TR
    Terry R. Payne

    University of Southampton, United Kingdom

    3 publications · 128 citations

    3

    h-index

  5. MT
    Minh Tue Vo

    Carnegie Mellon University, United States

    2 publications · 105 citations

    2

    h-index

1–5 of 419

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 2.2K citations

    5

    h-index

  2. Applied Artificial Intelligence

    AAI · 3 publications · 147 citations

    3

    h-index

  3. 3

    h-index

  4. Applied Sciences

    2 publications · 55 citations

    2

    h-index

  5. IEEE Intelligent Systems

    2 publications · 410 citations

    2

    h-index

1–5