@InProceedings{perezrosas-EtAl:2017:Long,
  author    = {P\'{e}rez-Rosas, Ver\'{o}nica  and  Mihalcea, Rada  and  Resnicow, Kenneth  and  Singh, Satinder  and  An, Lawrence},
  title     = {Understanding and Predicting Empathic Behavior in Counseling Therapy},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {1426--1435},
  abstract  = {Counselor empathy is associated with better outcomes in psychology and
	behavioral counseling. In this paper, we explore several aspects pertaining to
	counseling interaction dynamics and their relation to counselor empathy during
	motivational interviewing encounters. Particularly, we analyze aspects such as
	participants' engagement, participants' verbal and nonverbal accommodation, as
	well as topics being discussed during the conversation, with the final goal of
	identifying linguistic and acoustic markers of counselor empathy. We also show
	how we can use these findings alongside other raw linguistic and acoustic
	features to  build accurate counselor empathy classifiers with accuracies of up
	to 80%.},
  url       = {http://aclweb.org/anthology/P17-1131}
}