Attention-aware Systems

Attention-Aware Systems is a computational framework that, as a subclass of context-aware systems, specifically monitors and interprets human attentional states and behaviors to dynamically adapt system responses in human-cyber-physical interactions.

237

Publications

16.9K

Citations

901

Authors

305

Institutions

Publications per year

2017–2026

164

Authors

901

  1. AB
    Andreas Bulling

    Max Planck Institute for Informatics, Germany

    4 publications · 169 citations

    4

    h-index

  2. RV
    Roel Vertegaal

    Queen's University, Canada

    4 publications · 174 citations

    4

    h-index

  3. BP
    Benjamin Poppinga

    Oldenburger Institut für Informatik, Germany

    3 publications · 44 citations

    3

    h-index

  4. JS
    Jeffrey S. Shell

    Queen's University, Canada

    3 publications · 137 citations

    3

    h-index

  5. CR
    Claudia Roda

    American University of Paris, France

    3 publications · 210 citations

    3

    h-index

1–5 of 901

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 997 citations

    13

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 537 citations

    8

    h-index

  3. Neurocomputing

    6 publications · 270 citations

    6

    h-index

  4. Computers in Human Behavior

    5 publications · 853 citations

    5

    h-index

  5. Pattern Recognition

    5 publications · 167 citations

    5

    h-index

1–5