一种用于激发均衡协作的对话游戏
A Dialogue Game for Eliciting Balanced Collaboration
AI总结：
本研究提出一款双人2D物体放置对话游戏以激发均衡协作，实验证实均衡协作可提升任务表现，还构建了基于LLM的基准智能体，为人工系统协作研究提供新挑战与平台。
摘要：
协作是人类对话中不可或缺的组成部分。典型的任务导向对话游戏为参与者分配非对称角色，这限制了它们激发协作中自然的角色承担及其协商过程的能力。我们提出了一种新颖且简单的、有利于均衡协作的在线设置：一款双人2D物体放置游戏，玩家必须自行协商目标状态。我们通过实验证明，人类玩家展现出多样的角色分布，且均衡协作能提升任务表现。我们还提出了一个基于大语言模型（LLM）的基准智能体，证明了自动游玩我们的游戏对人工系统而言是一项有趣的挑战。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
