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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.08202 |
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| _version_ | 1866918028497649664 |
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| author | Jeknić, Isidora Schlangen, David Koller, Alexander |
| author_facet | Jeknić, Isidora Schlangen, David Koller, Alexander |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_08202 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Dialogue Game for Eliciting Balanced Collaboration Jeknić, Isidora Schlangen, David Koller, Alexander Computation and Language 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. |
| title | A Dialogue Game for Eliciting Balanced Collaboration |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2406.08202 |