Human-in-the-loop Workflow Control

Human-in-the-Loop Workflow Control is a workflow orchestration paradigm that integrates human decision-making as a first-class control element within automated execution pipelines, distinguishing itself from fully automated or exception-handling models by systematically embedding human judgment at predefined, critical decision points to guide, validate, or adapt workflow progression.

5

Publications

333

Citations

12

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

12

  1. PD
    Peng Dai

    Google (United States), United States

    2 publications · 153 citations

    2

    h-index

  2. DS
    Daniel S. Weld

    University of Washington, United States

    2 publications · 153 citations

    2

    h-index

  3. MM
    Mausam Mausam

    University of Washington, United States

    2 publications · 153 citations

    2

    h-index

  4. TH
    Thomas Herrmann

    Ruhr University Bochum, Germany

    1 publications · 145 citations

    1

    h-index

  5. AL
    Andrew L. Janke

    The University of Queensland, Australia

    1 publications · 20 citations

    1

    h-index

1–5 of 12

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 125 citations

    1

    h-index

  2. CHI Conference on Human Factors in Computing Systems

    Conference · 1 publications · 15 citations

    1

    h-index

  3. AI & Society

    1 publications · 145 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

  5. Nature Communications

    1 publications · 12 citations

1–5