Multimodal Conversation

Multimodal Conversation is a conversational interaction framework that integrates multiple modalities—such as speech, text, gesture, gaze, and visual elements—within a single cohesive exchange, thereby enabling richer, more natural user-system dialogue through complementary or simultaneous input and output channels.

759

Publications

38.3K

Citations

1.9K

Authors

566

Institutions

Publications per year

2017–2026

275

Authors

1.9K

  1. SO
    Sharon Oviatt

    Oregon Health & Science University, United States

    15 publications · 2.1K citations

    14

    h-index

  2. KW
    Kevin W. H. Tai

    University of Hong Kong, Hong Kong SAR China

    14 publications · 550 citations

    14

    h-index

  3. MJ
    Michael Johnston

    AT&T (United States), United States

    13 publications · 455 citations

    12

    h-index

  4. JC
    Justine Cassell

    Carnegie Mellon University, United States

    11 publications · 2.2K citations

    11

    h-index

  5. YN
    Yukiko Nakano

    Seikei University, Japan

    10 publications · 453 citations

    10

    h-index

1–5 of 1.9K

Venues

  1. Journal of Pragmatics

    15 publications · 1.8K citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 16 publications · 692 citations

    13

    h-index

  3. Classroom Discourse

    9 publications · 305 citations

    9

    h-index

  4. System

    8 publications · 301 citations

    8

    h-index

  5. Language and Education

    6 publications · 306 citations

    7

    h-index

1–5