Many people are now engaged in remote conversations for a wide variety of scenes such as interviewing, counseling, and consulting, but there is a limited number of skilled experts. We propose a novel framework of parallel conversations with semi-autonomous avatars, where one operator collaborates with several remote robots or agents simultaneously. The autonomous dialogue system mostly manages the conversation, but switches to the human operator when necessary. This framework circumvents the requirement for autonomous systems to be completely perfect. Instead, we need to detect dialogue breakdown or disengagement. We present a prototype of this framework for attentive listening.

现在很多人都在针对面试、辅导、咨询等各种各样的场景进行远程对话，但熟练的专家数量有限。我们提出了一种与半自主化身并行对话的新框架，其中一个操作员同时与多个远程机器人或代理协作。自主对话系统主要管理对话，但在必要时切换到人工操作员。该框架规避了对自治系统完全完美的要求。相反，我们需要检测对话中断或脱离。我们提出了这个专心聆听框架的原型。