论文标题
口语对话策略着重于与Android机器人的不对称通信
Spoken Dialogue Strategy Focusing on Asymmetric Communication with Android Robots
论文作者
论文摘要
人类很容易意识到Android机器人（AR）的行为和话语中的微小差异，从而将AR视为非人类，而ARS将我们视为人类。因此，ARS和人类之间存在不对称的沟通。在2022年对话机器人竞赛的系统中，这种不对称性是我们对话策略的相当大研究目标。例如，在AR的话语中使用了实验中使用了诸如与个人事务有关的问题和有力的协议请求之类的棘手短语。我们假设这些AR短语将有合理的成功机会，尽管人类可能会犹豫使用这些短语。此外，在进行五分钟的对话中，我们的AR角色（例如声音和句子表达式）从机械型变为人类类型，以假装为客户量身定制。本文介绍了由我们的团队DSML-TDU开发的AR的特征。
Humans are easily conscious of small differences in an android robot's (AR's) behaviors and utterances, resulting in treating the AR as not-human, while ARs treat us as humans. Thus, there exists asymmetric communication between ARs and humans. In our system at Dialogue Robot Competition 2022, this asymmetry was a considerable research target in our dialogue strategy. For example, tricky phrases such as questions related to personal matters and forceful requests for agreement were experimentally used in AR's utterances. We assumed that these AR phrases would have a reasonable chance of success, although humans would likely hesitate to use the phrases. Additionally, during a five-minute dialogue, our AR's character, such as its voice tones and sentence expressions, changed from mechanical to human-like type in order to pretend to tailor to customers. The characteristics of the AR developed by our team, DSML-TDU, are introduced in this paper.
