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 [BibTeX] [Marc21]
Predicting Remote Versus Collocated Group Interactions using Nonverbal Cues
Type of publication: Conference paper
Citation: Sanchez-Cortes_ICMI-MLMI_2009
Booktitle: Proc. Int. Conf. on Multimodal Interfaces, Workshop on Multimodal Sensor-Based Systems and Mobile Phones for Social Computing,
Year: 2009
Month: 11
Location: Cambridge
ISBN: 978-1-60558-694-6
DOI: http://doi.acm.org/10.1145/1641389.1641392
Abstract: This paper addresses two problems: Firstly, the problem of classifying remote and collocated small-group working meet- ings, and secondly, the problem of identifying the remote participant, using in both cases nonverbal behavioral cues. Such classifiers can be used to improve the design of remote collaboration technologies to make remote interactions as ef- fective as possible to collocated interactions. We hypothesize that the difference in the dynamics between collocated and remote meetings is significant and measurable using speech activity based nonverbal cues. Our results on a publicly available dataset - the Augmented Multi-Party Interaction with Distance Access (AMIDA) corpus - show that such an approach is promising, although more controlled settings and more data are needed to explore the addressed prob- lems further.
Keywords: Characterizing small groups, Nonverbal behavior, Remote meetings
Projects Idiap
Authors Sanchez-Cortes, Dairazalia
Jayagopi, Dinesh Babu
Gatica-Perez, Daniel
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