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		<datafield tag="980" ind1=" " ind2=" ">
			<subfield code="a">CONF</subfield>
		</datafield>
		<datafield tag="970" ind1=" " ind2=" ">
			<subfield code="a">Bogdan_ICASSP,TAIWAN,2009_2009/IDIAP</subfield>
		</datafield>
		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">YOU ARE FIRED! NONVERBAL ROLE ANALYSIS IN COMPETITIVE MEETINGS</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Bogdan, Raducanu</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">J., Vitria</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Gatica-Perez, Daniel</subfield>
		</datafield>
		<datafield tag="711" ind1="2" ind2=" ">
			<subfield code="a">Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP,',','),
 Taiwan.</subfield>
		</datafield>
		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2009</subfield>
		</datafield>
		<datafield tag="771" ind1="2" ind2=" ">
			<subfield code="d">April 2009</subfield>
		</datafield>
		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">This paper addresses the problem of social interaction analysis in competitive
meetings, using nonverbal cues. For our study, we made use of â€The
Apprenticeâ€ reality TV show, which features a competition for a real, highly
paid corporate job. Our analysis is centered around two tasks regarding a
personâ€™s role in a meeting: predicting the person with the highest status and
predicting the fired candidates. The current study was carried out using nonverbal
audio cues. Results obtained from the analysis of a full season of the
show, representing around 90 minutes of audio data, are very promising (up
to 85.7% of accuracy in the first case and up to 92.8% in the second case).
Our approach is based only on the nonverbal interaction dynamics during the
meeting without relying on the spoken words.</subfield>
		</datafield>
	</record>
</collection>