CONF gatica:mfi:2006/IDIAP Analyzing Group Interactions in Conversations: a Review Gatica-Perez, Daniel EXTERNAL https://publications.idiap.ch/attachments/papers/2006/gatica-mfi-2006.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/gatica:rr06-63 Related documents IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI) 2006 IDIAP-RR 06-63 \noindent Multiparty face-to-face conversations in professional and social settings represent an emerging research domain for which automatic activity-based analysis is relevant for scientific and practical reasons. The activity patterns emerging from groups engaged in conversations are intrinsically multimodal and thus constitute interesting target problems for multistream and multisensor fusion techniques. In this paper, a summarized review of the literature on automatic analysis of group activities in face-to-face conversational settings is presented. A basic categorization of group activities is proposed based on their typical temporal scale, and existing works are then discussed for various types of activities and trends including addressing, turn taking, interest, and dominance. REPORT gatica:rr06-63/IDIAP Analyzing Group Interactions in Conversations: a Review Gatica-Perez, Daniel EXTERNAL https://publications.idiap.ch/attachments/reports/2006/gatica-idiap-rr-06-63.pdf PUBLIC Idiap-RR-63-2006 2006 IDIAP Published in Proc. IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI,',','), Special Session on Multisensor Fusion for Human-Activity Analysis, invited paper, Heidelberg, Sep. 2006. \noindent Multiparty face-to-face conversations in professional and social settings represent an emerging research domain for which automatic activity-based analysis is relevant for scientific and practical reasons. The activity patterns emerging from groups engaged in conversations are intrinsically multimodal and thus constitute interesting target problems for multistream and multisensor fusion techniques. In this paper, a summarized review of the literature on automatic analysis of group activities in face-to-face conversational settings is presented. A basic categorization of group activities is proposed based on their typical temporal scale, and existing works are then discussed for various types of activities and trends including addressing, turn taking, interest, and dominance.