Collaborative Human-machine Writing

Collaborative Human-Machine Writing is an academic construct in the field of human-computer interaction that denotes a genre of writing in which human authorship and machine-generated text production dynamically co-occur, interactively shaping the compositional process through reciprocal contributions.

27

Publications

1.6K

Citations

76

Authors

31

Institutions

Publications per year

2017–2026

15

Authors

76

  1. JT
    Jaime Teevan

    Microsoft (United States), United States

    2 publications · 81 citations

    2

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  2. JP
    Jeffrey P. Bigham

    Carnegie Mellon University, United States

    2 publications · 81 citations

    2

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  3. AG
    Anhong Guo

    Carnegie Mellon University, United States

    2 publications · 81 citations

    2

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  4. AT
    Alexandra To

    Carnegie Mellon University, United States

    2 publications · 81 citations

    2

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  5. JC
    Jason Chan

    University of Minnesota, United States

    2 publications · 171 citations

    2

    h-index

1–5 of 76

Venues

  1. 2

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  2. CHI Conference on Human Factors in Computing Systems

    Conference · 1 publications · 321 citations

    1

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  3. Journal of Engineering Design

    1 publications · 30 citations

    1

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  4. Technical Communication

    1 publications · 34 citations

    1

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  5. Expert Systems with Applications

    1 publications · 14 citations

    1

    h-index

1–5