Task-oriented dialogue (TOD) systems have assisted users on many tasks, including ticket booking and service inquiries. While existing TOD systems have shown promising performance in serving customer needs, these systems mostly assume that users would interact with the dialogue agent politely. This assumption is unrealistic as impatient or frustrated customers may also interact with TOD systems impolitely. This paper aims to address this research gap by investigating impolite users' effects on TOD systems. Specifically, we constructed an impolite dialogue corpus and conducted extensive experiments to evaluate the state-of-the-art TOD systems on our impolite dialogue corpus. Our experimental results show that existing TOD systems are unable to handle impolite user utterances. We also present a data augmentation method to improve TOD performance in impolite dialogues. Nevertheless, handling impolite dialogues remains a very challenging research task. We hope by releasing the impolite dialogue corpus and establishing the benchmark evaluations, more researchers are encouraged to investigate this new challenging research task.

研究任务导向对话系统在应对不礼貌用户时的表现，作者构建了一个不礼貌的对话语料库，并进行了广泛的实验。结果表明，现有的TOD系统无法处理不礼貌的用户话语，但作者提出的数据增强方法改善了TOD在不礼貌对话中的表现，但仍然面临着很大的挑战。

当前的任务导向对话系统是否能够满足粗鲁用户？