Multimodal Feedback Generation
Multimodal Feedback Generation is a method for automatically producing instructional feedback that integrates and aligns information from multiple modalities—such as text, speech, gesture, or visual data—distinguished from unimodal approaches by its capacity to synthesize heterogeneous input sources into coherent, contextually grounded responses.
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1.2K
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168
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2017–2026
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Xavier Ochôa, Federico Domínguez, Bruno Guamán et al. · 2018 · 74 citations
SignTutor: An Interactive System for Sign Language Tutoring
Oya Aran, Lale Akarun, Bülent Sankur et al. · IEEE Multimedia · 2009 · 71 citations
A gesture-driven multimodal interactive dance system
Gang Qian, Feng Guo, Todd Ingalls et al. · 2005 · 68 citations
Arts, Performing Arts, Improvisation +16
Christophe Ramstein, Odile Martial, Aude Dufresne et al. · 1996 · 52 citations
Computing, Visualization, Drawing +16
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Korea University
Seoul, South Korea
3 h-index
7 publications
203 citations

University of Ljubljana
Ljubljana, Slovenia
2 h-index
4 publications
54 citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
3 publications
68 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
2 publications
26 citations

University of Glasgow
Glasgow, United Kingdom
2 h-index
4 publications
50 citations

Pennsylvania State University
State College, United States
2 h-index
6 publications
156 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
3 publications
92 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
48 citations
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Repository · 2 publications · 37 citations
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1 publications · 13 citations
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1 publications · 21 citations
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IJRM · 1 publications · 36 citations
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Repository · 1 publications · 22 citations
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