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|a Dong, Wen
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|a Massachusetts Institute of Technology. Media Laboratory
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|a Lepri, Bruno
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|a Kim, Taemie Jung
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|a Pianesi, Fabio
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|a Pentland, Alex
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|a Modeling conversational dynamics and performance in a Social Dilemma task
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|b IEEE,
|c 2021-11-24T18:52:40Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/137884.2
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|a In this paper, we describe a novel approach, based on Markov jump processes, to model group interaction dynamics and group performance. In particular, we estimate conversational events such as turn taking, backchannels, turntransitions at the micro-level (1 minute windows) and then we bridge the micro-level behavior and the macro-level performance. We test this approach with a cooperative game dataset and we verified the relevance of micro-level interaction dynamics in determining a good group performance (e.g. higher speaking turns rate and backchannels rate and lower turns competition rate). © 2012 IEEE.
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|a Article
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|t 10.1109/isccsp.2012.6217775
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