Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction
Guillaume Dubuisson Duplessis, Chloé Clavel, Frédéric Landragin
Abstract
This work aims at characterising verbal alignment processes for improving virtual agent communicative capabilities. We propose computationally inexpensive measures of verbal alignment based on expression repetition in dyadic textual dialogues. Using these measures, we present a contrastive study between Human-Human and Human-Agent dialogues on a negotiation task. We exhibit quantitative differences in the strength and orientation of verbal alignment showing the ability of our approach to characterise important aspects of verbal alignment.- Anthology ID:
- W17-5510
- Volume:
- Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
- Month:
- August
- Year:
- 2017
- Address:
- Saarbrücken, Germany
- Editors:
- Kristiina Jokinen, Manfred Stede, David DeVault, Annie Louis
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 71–81
- Language:
- URL:
- https://aclanthology.org/W17-5510
- DOI:
- 10.18653/v1/W17-5510
- Cite (ACL):
- Guillaume Dubuisson Duplessis, Chloé Clavel, and Frédéric Landragin. 2017. Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 71–81, Saarbrücken, Germany. Association for Computational Linguistics.
- Cite (Informal):
- Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction (Dubuisson Duplessis et al., SIGDIAL 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W17-5510.pdf
- Code
- GuillaumeDD/dialign