Title
Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance.
Abstract
Linguistic coordination is a well-established phenomenon in spoken conversations and often associated with positive social behaviors and outcomes. While there have been many attempts to measure lexical coordination or entrainment in literature, only a few have explored coordination in syntactic or semantic space. In this work, we attempt to combine these different aspects of coordination into a single measure by leveraging distances in a neural word representation space. In particular, we adopt the recently proposed Word Moveru0027s Distance with word2vec embeddings and extend it to measure the dissimilarity in language used in multiple consecutive speaker turns. To validate our approach, we apply this measure for two case studies in the clinical psychology domain. We find that our proposed measure is correlated with the therapistu0027s empathy towards their patient in Motivational Interviewing and with affective behaviors in Couples Therapy. In both case studies, our proposed metric exhibits higher correlation than previously proposed measures. When applied to the couples with relationship improvement, we also notice a significant decrease in the proposed measure over the course of therapy, indicating higher linguistic coordination.
Year
DOI
Venue
2019
10.21437/interspeech.2019-1900
Conference of the International Speech Communication Association
DocType
Volume
Citations 
Journal
abs/1904.06002
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
M. D. Nasir1586.14
Sandeep Nallan Chakravarthula294.19
Brian R. Baucom315216.36
David Atkins45512.28
Georgiou Panayiotis542855.79
Narayanan Shrikanth65558439.23