Affective Multimodal Interaction

Affective Multimodal Interaction is a scholarly framework that integrates multiple communication modalities—such as facial expressions, speech, gestures, and physiological signals—to detect, interpret, and respond to users' emotional states within human-computer interaction systems.

99

Publications

4.3K

Citations

308

Authors

138

Institutions

Publications per year

2017–2026

24

Authors

308

  1. CL
    Christine Lisetti

    Florida International University, United States

    3 publications · 246 citations

    3

    h-index

  2. CP
    Catherine Pélachaud

    Centre National de la Recherche Scientifique, France

    3 publications · 87 citations

    3

    h-index

  3. MP
    Maja Pantić

    Imperial College London, United Kingdom

    3 publications · 924 citations

    3

    h-index

  4. SN
    Shrikanth Narayanan

    University of Southern California, United States

    3 publications · 219 citations

    3

    h-index

  5. AK
    Athanasios Katsamanis

    University of Southern California, United States

    3 publications · 180 citations

    3

    h-index

1–5 of 308

Venues

  1. Multimedia Tools and Applications

    3 publications · 73 citations

    3

    h-index

  2. IEEE Transactions on Affective Computing

    TAC · 3 publications · 740 citations

    3

    h-index

  3. 2

    h-index

  4. International Journal of Synthetic Emotions

    IJSE · 1 publications · 12 citations

    1

    h-index

  5. CHEST Journal

    1 publications · 197 citations

    1

    h-index

1–5