Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task

Deepthi Karkada, Ramesh Manuvinakurike, Maike Paetzel-Prüsmann, Kallirroi Georgila


Abstract
In this work, we study entrainment of users playing a creative reference resolution game with an autonomous dialogue system. The language understanding module in our dialogue system leverages annotated human-wizard conversational data, openly available knowledge graphs, and crowd-augmented data. Unlike previous entrainment work, our dialogue system does not attempt to make the human conversation partner adopt lexical items in their dialogue, but rather to adapt their descriptive strategy to one that is simpler to parse for our natural language understanding unit. By deploying this dialogue system through a crowd-sourced study, we show that users indeed entrain on a “strategy-level” without the change of strategy impinging on their creativity. Our work thus presents a promising future research direction for developing dialogue management systems that can strategically influence people’s descriptive strategy to ease the system’s language understanding in creative tasks.
Anthology ID:
2022.lrec-1.620
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
5768–5777
Language:
URL:
https://aclanthology.org/2022.lrec-1.620
DOI:
Bibkey:
Cite (ACL):
Deepthi Karkada, Ramesh Manuvinakurike, Maike Paetzel-Prüsmann, and Kallirroi Georgila. 2022. Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5768–5777, Marseille, France. European Language Resources Association.
Cite (Informal):
Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task (Karkada et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.620.pdf