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Inter-ACT: an affective and contextually rich multimodal video corpus for studying interaction with robots
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Authors:
Ginevra Castellano
Queen Mary University of London, London, United Kingdom
Iolanda Leite
Instituto Superior Tecnico , Lisbon, Portugal
Andre Pereira
Instituto Superior Tecnico , Lisbon, Portugal
Carlos Martinho
Instituto Superior Tecnico , Lisbon, Portugal
Ana Paiva
Instituto Superior Tecnico , Lisbon, Portugal
Peter W. McOwan
Queen Mary University of London, London, United Kingdom
2010 Article
Short paper
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Published in:
· Proceeding
MM '10
Proceedings of the international conference on Multimedia
Pages 1031-1034
ACM
New York, NY
, USA
©2010
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ISBN: 978-1-60558-933-6
doi>
10.1145/1873951.1874142
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Tags:
affect recognition
algorithms
application-dependent design
context awareness
design
design methodology
human factors
human-robot interaction
multimodal video corpus
theory
user interfaces
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