Human-computer Coevolution

Human-Computer Coevolution is a theoretical framework within the field of human-computer interaction that describes the reciprocal, adaptive development and mutual shaping of human behaviors, cognitive processes, and computational systems over time through continuous interaction and feedback loops.

46

Publications

1.9K

Citations

82

Authors

45

Institutions

Publications per year

2017–2026

9

Authors

82

  1. BM
    Bruce Mazlish

    Massachusetts Institute of Technology, United States

    3 publications · 165 citations

    3

    h-index

  2. AJ
    Adriano Joaquim de Oliveira Cruz

    2 publications · 77 citations

    2

    h-index

  3. JG
    Jonathan Grudin

    Microsoft (United States), United States

    2 publications · 119 citations

    2

    h-index

  4. GN
    Greg Newman

    Colorado State University, United States

    2 publications · 32 citations

    2

    h-index

  5. LS
    Lee Sproull

    Carnegie Mellon University, United States

    2 publications · 298 citations

    2

    h-index

1–5 of 82

Venues

  1. Human Computation

    HC · 2 publications · 32 citations

    2

    h-index

  2. Choice Reviews Online

    CRO · 2 publications · 64 citations

    2

    h-index

  3. Journal of Personality and Social Psychology

    2 publications · 298 citations

    2

    h-index

  4. Futures

    1 publications · 35 citations

    1

    h-index

  5. 1

    h-index

1–5