Abstract
Collaboration is an integral part of human dialogue. Typical task-oriented dialogue games assign asymmetric roles to the participants, which limits their ability to elicit naturalistic role-taking in collaboration and its negotiation. We present a novel and simple online setup that favors balanced collaboration: a two-player 2D object placement game in which the players must negotiate the goal state themselves. We show empirically that human players exhibit a variety of role distributions, and that balanced collaboration improves task performance. We also present an LLM-based baseline agent which demonstrates that automatic playing of our game is an interesting challenge for artificial systems.- Anthology ID:
- 2024.sigdial-1.41
- Volume:
- Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Month:
- September
- Year:
- 2024
- Address:
- Kyoto, Japan
- Editors:
- Tatsuya Kawahara, Vera Demberg, Stefan Ultes, Koji Inoue, Shikib Mehri, David Howcroft, Kazunori Komatani
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 477–489
- Language:
- URL:
- https://aclanthology.org/2024.sigdial-1.41
- DOI:
- 10.18653/v1/2024.sigdial-1.41
- Cite (ACL):
- Isidora Jeknic, David Schlangen, and Alexander Koller. 2024. A Dialogue Game for Eliciting Balanced Collaboration. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 477–489, Kyoto, Japan. Association for Computational Linguistics.
- Cite (Informal):
- A Dialogue Game for Eliciting Balanced Collaboration (Jeknic et al., SIGDIAL 2024)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2024.sigdial-1.41.pdf