User-driven Generative Design

User-Driven Generative Design is a generative design paradigm within product form generation that systematically integrates user inputs, preferences, and behavioral data as primary constraints and drivers in the algorithmic synthesis of design alternatives, distinguishing it from topology- or performance-driven approaches by prioritizing human-centered criteria in the generative process.

16

Publications

952

Citations

57

Authors

24

Institutions

Publications per year

2017–2026

11

Authors

57

  1. YC
    Ying Cao

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 252 citations

    2

    h-index

  2. RW
    Rynson W. H. Lau

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 252 citations

    2

    h-index

  3. EG
    Erkan Günpınar

    Istanbul Technical University, Türkiye

    2 publications · 90 citations

    2

    h-index

  4. WL
    Wei Li

    University of Helsinki, Finland

    1 publications · 30 citations

    1

    h-index

  5. AS
    Ahmed Seffah

    Concordia University, Canada

    1 publications · 13 citations

    1

    h-index

1–5 of 57

Venues

  1. Journal of Mechanical Design

    2 publications · 69 citations

    2

    h-index

  2. ACM Transactions on Graphics

    TOG · 2 publications · 252 citations

    2

    h-index

  3. Model Driven Engineering Languages and Systems

    Conference · 1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. Ocean Engineering

    1 publications · 51 citations

    1

    h-index

1–5