Title
Conversation analysis at work: detection of conflict in competitive discussions through semi-automatic turn-organization analysis.
Abstract
This study proposes a semi-automatic approach aimed at detecting conflict in conversations. The approach is based on statistical techniques capable of identifying turn-organization regularities associated with conflict. The only manual step of the process is the segmentation of the conversations into turns (time intervals during which only one person talks) and overlapping speech segments (time intervals during which several persons talk at the same time). The rest of the process takes place automatically and the results show that conflictual exchanges can be detected with Precision and Recall around 70% (the experiments have been performed over 6 h of political debates). The approach brings two main benefits: the first is the possibility of analyzing potentially large amounts of conversational data with a limited effort, the second is that the model parameters provide indications on what turn-regularities are most likely to account for the presence of conflict.
Year
DOI
Venue
2012
10.1007/s10339-011-0417-9
Cognitive processing
Keywords
Field
DocType
Social signal processing, Generative score space, Conflict detection turn-organization
Social psychology,Conflict (Psychology),Segmentation,Precision and recall,Psychology,Cognitive psychology,Conversation analysis,Nonverbal communication,Politics
Journal
Volume
Issue
ISSN
13 Suppl 2
Supplement-2
1612-4790
Citations 
PageRank 
References 
7
0.45
13
Authors
4
Name
Order
Citations
PageRank
Anna Pesarin1393.82
M. Cristani21928109.03
Vittorio Murino33277207.20
Alessandro Vinciarelli41682104.77