Interactive Generative Art

Interactive Generative Art is a form of generative art in which algorithmically produced visual, auditory, or multimodal outputs are dynamically shaped by real-time user input or environmental data, distinguishing it from non-interactive generative systems through its bidirectional feedback loop between human agency and autonomous creative processes.

9

Publications

247

Citations

19

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

19

  1. AD
    Alan Dorin

    Monash University, Australia

    2 publications · 73 citations

    2

    h-index

  2. TK
    Taras Kowaliw

    Concordia University, Canada

    2 publications · 73 citations

    2

    h-index

  3. JM
    Jon McCormack

    Monash University, Australia

    2 publications · 73 citations

    2

    h-index

  4. SD
    Stephen DiVerdi

    Adobe Systems (United States), United States

    1 publications · 79 citations

    1

    h-index

  5. AC
    Adrián Carballal

    Universidade da Coruña, Spain

    1 publications · 19 citations

    1

    h-index

1–5 of 19

Venues

  1. Computers in entertainment

    CIE · 1 publications · 11 citations

    1

    h-index

  2. Color Research & Application

    1 publications · 14 citations

    1

    h-index

  3. IEEE Transactions on Evolutionary Computation

    1 publications · 59 citations

    1

    h-index

  4. Digital Creativity

    1 publications · 23 citations

    1

    h-index

  5. Leonardo

    1 publications · 12 citations

    1

    h-index

1–5