Generative Environment Design

Generative Environment Design is a systematic methodology within immersive environment research that employs algorithmic and data-driven techniques to autonomously synthesize or evolve virtual environments, distinguishing itself through its capacity to dynamically generate spatial, interactive, and experiential structures based on parametric, learned, or procedural rules rather than static, hand-authored designs.

9

Publications

482

Citations

27

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

27

  1. AT
    Anthony Tang

    University of Calgary, Canada

    2 publications · 45 citations

    2

    h-index

  2. JL
    Jiannan Li

    University of Toronto, Canada

    2 publications · 45 citations

    2

    h-index

  3. SA
    Setareh Aghel Manesh

    University of New Brunswick, Canada

    2 publications · 45 citations

    2

    h-index

  4. SB
    Scott Bateman

    University of New Brunswick, Canada

    2 publications · 45 citations

    2

    h-index

  5. YO
    Yuki Onishi

    University of Calgary, Canada

    2 publications · 45 citations

    2

    h-index

1–5 of 27

Venues

  1. 1

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 1 publications · 302 citations

    1

    h-index

  3. Automation in Construction

    1 publications · 33 citations

    1

    h-index

  4. Technology|Architecture + Design

    TAD · 1 publications · 19 citations

    1

    h-index

  5. Designing Interactive Systems Conference

    Conference · 1 publications · 32 citations

    1

    h-index

1–5