Yuning Liu
ABSTRACT
According to the Communication Accommodation Theory, speakers dynamically adjust their communication behaviors, converging to or diverging from their interlocutors in order to diminish or increase social distance, which is called entrainment. Most of the studies investigated the entrainment of the interlocutors in terms of linguistic and paralinguistic features respectively, but paid less attention to the (dis)entrainment relation between paralinguistic and linguistic ones. In this study, we employed BERT to extract the semantic similarities of turns within dialogues in service scenarios, and found the semantic entrainment. We also found that (dis)entrainments policies were adopted between acoustic-prosodic (paralinguistic) and linguistic (semantic) features. These findings will contribute to fully understanding the mechanism of entrainment in dialogue.
Supplemental Material
Available for Download
- P Boersma and D Weenink. 2019. Praat: doing phonetics by computer (6.1. 08)[Computer program].Google Scholar
- Michael P. Broderick, Andrew J. Anderson, Giovanni M. Di Liberto, Michael J. Crosse, and Edmund C. Lalor. 2018. Electrophysiological Correlates of Semantic Dissimilarity Reflect the Comprehension of Natural, Narrative Speech. Current Biology 28, 5 (2018), 803–809.e3. https://doi.org/10.1016/j.cub.2018.01.080Google ScholarCross Ref
- Estelle Campione and Jean Véronis. 2002. A large-scale multilingual study of pause duration. Speech Prosody 2002. Proceedings of the1st International Conference on Speech Prosody (2002), 199–202. http://www.isca-speech.org/archive/sp2002/sp02_199.htmlGoogle Scholar
- Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805(2018).Google Scholar
- Jens Edlund, Julia Bell Hirschberg, and Mattias Heldner. 2009. Pause and gap length in face-to-face interaction. (2009).Google Scholar
- Heather Friedberg, Diane Litman, and Susannah B F Paletz. 2012. LEXICAL ENTRAINMENT AND SUCCESS IN STUDENT ENGINEERING GROUPS Department of Computer Science and 2 Learning Research and Development Center University of Pittsburgh, Pittsburgh, PA 15260. (2012), 404–409.Google Scholar
- Ramiro H Gálvez, Lara Gauder, Jordi Luque, and Agustin Gravano. 2020. A unifying framework for modeling acoustic/prosodic entrainment: definition and evaluation on two large corpora. In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 215–224.Google Scholar
- Rivka Levitan, Štefan Beňuš, Agustín Gravano, and Julia Hirschberg. 2015. Acoustic-prosodic entrainment in Slovak, Spanish, English and Chinese: A cross-linguistic comparison. SIGDIAL 2015 - 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the ConferenceSeptember (2015), 325–334. https://doi.org/10.18653/v1/w15-4644Google ScholarCross Ref
- Aijun Li. 2018. Response Acts in Chinese Conversation: the Coding Scheme and Analysis. In 2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP). IEEE, 478–482.Google Scholar
- Juan Manuel Pérez, Ramiro H Gálvez, and Agustín Gravano. 2016. Disentrainment may be a Positive Thing: A Novel Measure of Unsigned Acoustic-Prosodic Synchrony, and its Relation to Speaker Engagement.. In INTERSPEECH. 1270–1274.Google Scholar
- Martin J. Pickering and Simon Garrod. 2004. Toward a mechanistic psychology of dialogue. Behavioral and Brain Sciences 27, 2 (2004), 169–190. https://doi.org/10.1017/s0140525x04000056Google ScholarCross Ref
- Uwe D. Reichel, Katalin Mády, and Jennifer Cole. 2018. Prosodic entrainment in dialog acts. arXiv (2018), 1–19. arxiv:1810.12646Google Scholar
- Andreas Weise and Rivka Levitan. 2018. Looking for structure in lexical and acoustic-prosodic entrainment behaviors. NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference 2(2018), 297–302. https://doi.org/10.18653/v1/n18-2048Google ScholarCross Ref
Recommendations
Building Rapport through Dynamic Models of Acoustic-Prosodic Entrainment
CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing SystemsAs dialogue systems become more prevalent in the form of personalized assistants, there is an increasingly important role for systems which can socially engage the user by influencing social factors like rapport. For example, learning companions enhance ...
Acoustic-Prosodic Entrainment and Rapport in Collaborative Learning Dialogues
MLA '14: Proceedings of the 2014 ACM workshop on Multimodal Learning Analytics Workshop and Grand ChallengeIn spoken dialogue analysis, the speech signal is a rich source of information. We explore in this paper how low level features of the speech signal, such as pitch, loudness, and speaking rate, can inform a model of student interaction in collaborative ...
Global Analysis of Entrainment in Dialogues
Advances in Speech and Language Technologies for Iberian LanguagesAbstractThis paper performs a global analysis of entrainment between dyads in map-task dialogues in European Portuguese (EP), including 48 dialogues, between 24 speakers. Our main goals focus on the acoustic-prosodic similarities between speakers, namely ...
Comments