Today, conversational systems are expected to handle conversations in multi-party settings, especially within Socially Assistive Robots (SARs). However, practical usability remains difficult as there are additional challenges to overcome, such as speaker recognition, addressee recognition, and complex turn-taking. In this paper, we present our work on a multi-party conversational system, which invites two users to play a trivia quiz game. The system detects users' agreement or disagreement on a final answer and responds accordingly. Our evaluation includes both performance and user assessment results, with a focus on detecting user agreement. Our annotated transcripts and the code for the proposed system have been released open-source on GitHub.

翻译：当前，对话系统需要在多组环境中处理对话，尤其是社交辅助机器人场景。然而，由于存在说话者识别、听者识别以及复杂的话轮转换等额外挑战，实际可用性仍然困难。本文介绍了我们关于多组对话系统的工作，该系统邀请两位用户参与问答游戏。系统可检测用户对最终答案的同意或分歧，并据此回应。我们的评估包括性能评估与用户评估结果，重点关注用户共识检测。相关标注语料及系统代码已在GitHub上开源发布。