Adaptive Difficulty Training

Adaptive Difficulty Training is a rehabilitation methodology within virtual reality that dynamically adjusts task complexity in real time based on user performance to maintain an optimal challenge level for motor or cognitive skill acquisition.

25

Publications

877

Citations

91

Authors

48

Institutions

Publications per year

2017–2026

16

Authors

91

  1. JD
    Jan David Smeddinck

    University of Bremen, Germany

    2 publications · 46 citations

    2

    h-index

  2. JR
    Johanna Renny Octavia

    Parahyangan Catholic University, Indonesia

    2 publications · 39 citations

    2

    h-index

  3. AB
    Alex Bahar‐Fuchs

    The University of Melbourne, Australia

    2 publications · 134 citations

    2

    h-index

  4. KC
    Karin Coninx

    Hasselt University, Belgium

    2 publications · 39 citations

    2

    h-index

  5. AG
    Abdelkader Gouaïch

    Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France

    1 publications · 13 citations

    1

    h-index

1–5 of 91

Venues

  1. Military Psychology

    2 publications · 35 citations

    2

    h-index

  2. BMC Neurology

    1 publications · 19 citations

    1

    h-index

  3. 1

    h-index

  4. Brain Sciences

    1 publications · 22 citations

    1

    h-index

  5. 2021 IEEE Conference on Games (CoG)

    Conference · 1 publications · 14 citations

    1

    h-index

1–5