Adaptive Narrative Systems

Adaptive Narrative Systems is a computational framework in interactive narrative design that dynamically modulates story structure, content, or progression in response to user input or contextual changes through embedded adaptation mechanisms such as player modeling, real-time decision trees, or machine learning algorithms.

35

Publications

1.4K

Citations

73

Authors

26

Institutions

Publications per year

2017–2026

2

Variants

Adaptive Interactive Narratives

Authors

73

  1. MR
    Mark Riedl

    Georgia Institute of Technology, United States

    4 publications · 316 citations

    4

    h-index

  2. ML
    Marcia L. Spetch

    University of Alberta, Canada

    3 publications · 223 citations

    3

    h-index

  3. JR
    Jonathan Rowe

    North Carolina State University, United States

    3 publications · 97 citations

    3

    h-index

  4. HB
    Heather Barber

    University of York, United Kingdom

    3 publications · 78 citations

    3

    h-index

  5. DK
    Daniel Kudenko⋆

    University of York, United Kingdom

    3 publications · 78 citations

    3

    h-index

1–5 of 73

Venues

  1. 8

    h-index

  2. New Review of Hypermedia and Multimedia

    1 publications · 13 citations

    1

    h-index

  3. Applied Artificial Intelligence

    AAI · 1 publications · 61 citations

    1

    h-index

  4. The British Journal of Criminology

    1 publications · 23 citations

    1

    h-index

  5. IEEE Multimedia

    1 publications · 16 citations

    1

    h-index

1–5