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		<datafield tag="980" ind1=" " ind2=" ">
			<subfield code="a">CONF</subfield>
		</datafield>
		<datafield tag="970" ind1=" " ind2=" ">
			<subfield code="a">Jayagopi_ICMI-MLMI_2009/IDIAP</subfield>
		</datafield>
		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Discovering Group Nonverbal Conversational Patterns with Topics</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Jayagopi, Dinesh Babu</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Gatica-Perez, Daniel</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/papers/2009/Jayagopi_ICMI-MLMI_2009.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
		</datafield>
		<datafield tag="711" ind1="2" ind2=" ">
			<subfield code="a">Proceedings ICMI-MLMI</subfield>
		</datafield>
		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2009</subfield>
		</datafield>
		<datafield tag="771" ind1="2" ind2=" ">
			<subfield code="d">November 2009</subfield>
		</datafield>
		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">This paper addresses the problem of discovering conversa-
tional group dynamics from nonverbal cues extracted from
thin-slices of interaction. We first propose and analyze a
novel thin-slice interaction descriptor - a bag of group non-
verbal patterns - which robustly captures the turn-taking
behavior of the members of a group while integrating its
leaderâ€™s position. We then rely on probabilistic topic mod-
eling of the interaction descriptors which, in a fully unsu-
pervised way, is able to discover group interaction patterns
that resemble prototypical leadership styles proposed in so-
cial psychology. Our method, validated on the Augmented
Multi-Party Interaction (AMI) meeting corpus, facilitates
the retrieval of group conversational segments where seman-
tically meaningful group behaviours emerge, without the
need of any previous labeling.</subfield>
		</datafield>
	</record>
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