Human-ai Interaction

Human-AI Interaction is an academic concept within interface design that denotes the study and design of interactive systems in which humans and artificial intelligence collaborate, distinguished by the bidirectional communicative and adaptive processes that mediate human understanding, control, and trust in AI behaviors.

1.3K

Publications

84.5K

Citations

3.8K

Authors

1.2K

Institutions

Publications per year

2017–2026

1.1K

Authors

3.8K

  1. NJ
    Nathan J. McNeese

    Clemson University, United States

    9 publications · 417 citations

    12

    h-index

  2. CF
    Christopher Flathmann

    Clemson University, United States

    7 publications · 308 citations

    10

    h-index

  3. BS
    Ben Shneiderman

    University of Maryland, College Park, United States

    9 publications · 2.2K citations

    9

    h-index

  4. BG
    Beau G. Schelble

    Clemson University, United States

    6 publications · 271 citations

    9

    h-index

  5. JD
    Justin D. Weisz

    IBM (United States), United States

    6 publications · 218 citations

    8

    h-index

1–5 of 3.8K

Venues

  1. arXiv (Cornell University)

    Repository · 51 publications · 3.9K citations

    23

    h-index

  2. 22

    h-index

  3. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 21 publications · 1.4K citations

    22

    h-index

  4. Computers in Human Behavior

    17 publications · 3.4K citations

    18

    h-index

  5. Frontiers in Psychology

    14 publications · 777 citations

    15

    h-index

1–5