Computational modelling of structural priming in dialogue
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Towards personality-based user adaptation: psychologically informed stylistic language generation
User Modeling and User-Adapted Interaction
Entrainment in speech preceding backchannels
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
An unsupervised dynamic Bayesian network approach to measuring speech style accommodation
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates
Computer Speech and Language
Acoustic-prosodic entrainment and social behavior
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Estimating adaptation of dialogue partners with different verbal intelligence
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Influence relation estimation based on lexical entrainment in conversation
Speech Communication
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Cognitive theories of dialogue hold that entrainment, the automatic alignment between dialogue partners at many levels of linguistic representation, is key to facilitating both production and comprehension in dialogue. In this paper we examine novel types of entrainment in two corpora---Switchboard and the Columbia Games corpus. We examine entrainment in use of high-frequency words (the most common words in the corpus), and its association with dialogue naturalness and flow, as well as with task success. Our results show that such entrainment is predictive of the perceived naturalness of dialogues and is significantly correlated with task success; in overall interaction flow, higher degrees of entrainment are associated with more overlaps and fewer interruptions.