Affective State Inference

Affective State Inference is a computational process that identifies and interprets human emotional states from multimodal behavioral cues within the context of human-robot interaction, distinguishing itself by its reliance on indirect, observable signals to deduce internal affective conditions.

368

Publications

19.6K

Citations

1K

Authors

402

Institutions

Publications per year

2017–2026

142

Authors

1K

  1. NS
    Nilanjan Sarkar

    Vanderbilt University, United States

    16 publications · 1.5K citations

    15

    h-index

  2. AP
    Ana Paiva

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    11 publications · 866 citations

    11

    h-index

  3. IL
    Iolanda Leite

    KTH Royal Institute of Technology, Sweden

    9 publications · 789 citations

    9

    h-index

  4. CL
    Changchun Liu

    Vanderbilt University, United States

    8 publications · 921 citations

    8

    h-index

  5. AP
    André Pereira

    KTH Royal Institute of Technology, Sweden

    8 publications · 741 citations

    8

    h-index

1–5 of 1K

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 6 publications · 349 citations

    7

    h-index

  2. International Journal of Social Robotics

    5 publications · 176 citations

    6

    h-index

  3. PLoS ONE

    5 publications · 119 citations

    5

    h-index

  4. Computers in Human Behavior

    3 publications · 67 citations

    4

    h-index

  5. Cognitive Systems Research

    4 publications · 231 citations

    4

    h-index

1–5