%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{Hung_IEEETRANS.ONMULTIMEDIA_2010,
         author = {Hung, Hayley and Gatica-Perez, Daniel},
       keywords = {cohesion, group interaction, social psychology},
       projects = {Idiap, AMIDA},
          month = oct,
          title = {Estimating Cohesion in Small Groups Using Audio-Visual Nonverbal Behavior},
        journal = {IEEE Trans. on Multimedia, Special Issue on Multimodal Affective Interaction},
         volume = {12},
         number = {6},
           year = {2010},
          pages = {563 - 575},
       crossref = {Hung_Idiap-RR-12-2010},
       abstract = {Cohesiveness in teams is an essential part of ensuring
the smooth running of task-oriented groups. Research
in social psychology and management has shown that good
cohesion in groups can be correlated with team effectiveness
or productivity so automatically estimating group cohesion for
team training can be a useful tool. This paper addresses the
problem of analyzing group behavior within the context of
cohesion. 4 hours of audio-visual group meeting data was used
for collecting annotations on the cohesiveness of 4-participant
teams. We propose a series of audio and video features, which
are inspired by findings in the social sciences literature. Our
study is validated on as set of 61 2-minute meeting segments
which showed high agreement amongst human annotators who
were asked to identify meetings which have high or low cohesion.},
            pdf = {https://publications.idiap.ch/attachments/papers/2011/Hung_IEEETRANS.ONMULTIMEDIA_2010.pdf}
}



crossreferenced publications: 
@TECHREPORT{Hung_Idiap-RR-12-2010,
         author = {Hung, Hayley and Gatica-Perez, Daniel},
       projects = {Idiap, IM2, AMIDA},
          month = {6},
          title = {Estimating Cohesion in Small Groups using Audio-Visual Nonverbal Behavior},
           type = {Idiap-RR},
         number = {Idiap-RR-12-2010},
           year = {2010},
    institution = {Idiap},
       abstract = {Cohesiveness in teams is an essential part of ensuring
the smooth running of task-oriented groups. Research
in social psychology and management has shown that good
cohesion in groups can be correlated with team effectiveness
or productivity so automatically estimating group cohesion for
team training can be a useful tool. This paper addresses the
problem of analyzing group behavior within the context of
cohesion. 4 hours of audio-visual group meeting data was used
for collecting annotations on the cohesiveness of 4-participant
teams. We propose a series of audio and video features, which
are inspired by findings in the social sciences literature. Our
study is validated on as set of 61 2-minute meeting segments
which showed high agreement amongst human annotators who
were asked to identify meetings which have high or low cohesion.},
            pdf = {https://publications.idiap.ch/attachments/reports/2010/Hung_Idiap-RR-12-2010.pdf}
}