Progressive Feedback

Progressive Feedback is a methodological contribution within adaptive feedback systems that iteratively refines user performance through cumulative, context-sensitive input designed to advance learning or task execution in incremental stages.

16

Publications

760

Citations

55

Authors

29

Institutions

Publications per year

2017–2026

7

Authors

55

  1. SO
    Shinji Ogaki

    University of Nottingham, United Kingdom

    2 publications · 265 citations

    2

    h-index

  2. HW
    Henrik Wann Jensen

    University of California San Diego, United States

    2 publications · 265 citations

    2

    h-index

  3. TH
    Toshiya Hachisuka

    The University of Tokyo, Japan

    2 publications · 265 citations

    2

    h-index

  4. OS
    Olga Sorkine‐Hornung

    ETH Zurich, Switzerland

    1 publications · 23 citations

    1

    h-index

  5. HD
    Henry D. Anaya

    VA Greater Los Angeles Healthcare System, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 55

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 86 citations

    3

    h-index

  2. ACM Transactions on Graphics

    TOG · 2 publications · 320 citations

    2

    h-index

  3. Journal of Technology and Teacher Education

    1 publications · 36 citations

    1

    h-index

  4. Early Child Development and Care

    ECDC · 1 publications · 47 citations

    1

    h-index

  5. 1

    h-index

1–5