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For next generation human computer interaction (HCI), it is crucial to assess the affective state of a user. However, this respective user state is – even for human annotators – only indirectly inferable using background information and the observation of the interaction’s progression as well as the social signals produced by the interlocutors. In this paper, coincidences of directly observable patterns...
We present a system for detecting leadership and group cohesion in multiparty dialogs and broadcast conversations in English and Mandarin. We systematically investigate the impact of features and designs of the prediction systems, the relationships between features and their individual significance in logistic regressions, and the contributions of feature groupings as predictors for leader and group...
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