Adaptive Notifications

Adaptive Notifications is a context-aware notification delivery system that dynamically adjusts the timing, content, modality, and intrusiveness of alerts based on real-time user states, preferences, and environmental conditions to optimize interaction efficiency and minimize disruption.

24

Publications

1.1K

Citations

85

Authors

33

Institutions

Publications per year

2017–2026

11

Authors

85

  1. HT
    Hideyuki Tokuda

    Keio University Shonan Fujisawa, Japan

    4 publications · 160 citations

    4

    h-index

  2. TO
    T. Okoshi

    The University of Tokyo, Japan

    4 publications · 160 citations

    4

    h-index

  3. KT
    Kota Tsubouchi

    The University of Tokyo, Japan

    3 publications · 117 citations

    3

    h-index

  4. FE
    Fabián E. Bustamante

    Northwestern University, United States

    2 publications · 44 citations

    2

    h-index

  5. PW
    Patrick Widener

    Georgia Institute of Technology, United States

    2 publications · 44 citations

    2

    h-index

1–5 of 85

Venues

  1. Pervasive and Mobile Computing

    2 publications · 63 citations

    2

    h-index

  2. IEEE Transactions on Learning Technologies

    1 publications · 102 citations

    1

    h-index

  3. Applied Sciences

    1 publications · 47 citations

    1

    h-index

  4. Journal of Medical Systems

    1 publications · 36 citations

    1

    h-index

  5. ACM Transactions on Computer-Human Interaction

    TOCHI · 1 publications · 299 citations

    1

    h-index

1–5