Interactive Fiction Generation

Interactive Fiction Generation is a computational method that synthesizes narrative text in response to user input, distinguished from other generative writing approaches by its emphasis on dynamic, branching storylines and player agency within an interactive storytelling environment.

17

Publications

483

Citations

51

Authors

23

Institutions

Publications per year

2017–2026

9

Authors

51

  1. NM
    Nick Montfort

    Massachusetts Institute of Technology, United States

    2 publications · 73 citations

    2

    h-index

  2. MM
    Michael Mateas

    University of California, Santa Cruz, United States

    1 publications · 14 citations

    1

    h-index

  3. DK
    Dan Klein

    University of California, Berkeley, United States

    1 publications · 24 citations

    1

    h-index

  4. YS
    Yuqian Sun

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 21 citations

    1

    h-index

  5. ZX
    Zhenxin Xiao

    Xi'an Jiaotong University, China

    1 publications · 10 citations

    1

    h-index

1–5 of 51

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  2. Journal of Gaming & Virtual Worlds

    JGVW · 1 publications · 24 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Journal of Aesthetics and Art Criticism

    1 publications · 12 citations

    1

    h-index

1–5