Adaptive Explanations

Adaptive Explanations is a computational framework that dynamically tailors explanatory content and complexity to the user’s expertise level, cognitive context, and feedback through iterative refinement grounded in interpretability principles.

149

Publications

11.5K

Citations

361

Authors

217

Institutions

Publications per year

2017–2026

23

Authors

361

  1. QV
    Q. Vera Liao

    Microsoft (Canada), Canada

    2 publications · 275 citations

    2

    h-index

  2. JB
    Johan Billen

    KU Leuven, Belgium

    2 publications · 77 citations

    2

    h-index

  3. CD
    Casey Dugan

    IBM (United States), United States

    2 publications · 275 citations

    2

    h-index

  4. CW
    Christer Wiklund

    Stockholm University, Sweden

    2 publications · 124 citations

    2

    h-index

  5. YZ
    Yunfeng Zhang

    Shandong University of Finance and Economics, China

    2 publications · 275 citations

    2

    h-index

1–5 of 361

Venues

  1. The American Naturalist

    AN · 8 publications · 2.6K citations

    8

    h-index

  2. PLoS ONE

    6 publications · 229 citations

    6

    h-index

  3. Ethology

    5 publications · 132 citations

    5

    h-index

  4. Oikos

    4 publications · 351 citations

    4

    h-index

  5. Scientific Reports

    3 publications · 66 citations

    3

    h-index

1–5