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
759
Ewa Luger, Abigail Sellen · 2016 · 1.1K citations
Ten myths of multimodal interaction
Sharon Oviatt · Communications of the ACM · 1999 · 670 citations · Full text
Justine Cassell, Catherine Pélachaud, Norman I. Badler et al. · 1994 · 665 citations
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566
Massachusetts Institute of Technology
Cambridge, United States
14 h-index
28 publications
1.1K citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
13 h-index
53 publications
2.9K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
13 h-index
13 publications
387 citations
Microsoft (United States)
Redmond, United States
13 h-index
36 publications
2.2K citations

KTH Royal Institute of Technology
Stockholm, Sweden
13 h-index
32 publications
1.1K citations
University of Southern California
Los Angeles, United States
13 h-index
27 publications
1.5K citations

Tampere University
Tampere, Finland
12 h-index
25 publications
1.2K citations
University College London
London, United Kingdom
11 h-index
19 publications
792 citations
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15 publications · 1.8K citations
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Repository · 16 publications · 692 citations
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9 publications · 305 citations
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8 publications · 301 citations
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6 publications · 306 citations
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