@inproceedings{jeknic-etal-2024-dialogue,
title = "A Dialogue Game for Eliciting Balanced Collaboration",
author = "Jeknic, Isidora and
Schlangen, David and
Koller, Alexander",
editor = "Kawahara, Tatsuya and
Demberg, Vera and
Ultes, Stefan and
Inoue, Koji and
Mehri, Shikib and
Howcroft, David and
Komatani, Kazunori",
booktitle = "Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = sep,
year = "2024",
address = "Kyoto, Japan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.sigdial-1.41",
pages = "477--489",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T A Dialogue Game for Eliciting Balanced Collaboration
%A Jeknic, Isidora
%A Schlangen, David
%A Koller, Alexander
%Y Kawahara, Tatsuya
%Y Demberg, Vera
%Y Ultes, Stefan
%Y Inoue, Koji
%Y Mehri, Shikib
%Y Howcroft, David
%Y Komatani, Kazunori
%S Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2024
%8 September
%I Association for Computational Linguistics
%C Kyoto, Japan
%F jeknic-etal-2024-dialogue
%X 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.
%U https://aclanthology.org/2024.sigdial-1.41
%P 477-489
Markdown (Informal)
[A Dialogue Game for Eliciting Balanced Collaboration](https://aclanthology.org/2024.sigdial-1.41) (Jeknic et al., SIGDIAL 2024)
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.