The tendency of people to engage in similar, matching, or synchronized
behaviour when interacting is known as entrainment. Many studies examined
linguistic (syntactic and lexical structures) and paralinguistic (pitch,
intensity) entrainment, but less attention was given to finding the
relationship between them. In this study, we utilized state-of-the-art DNN
embeddings such as BERT and TRIpLet Loss network (TRILL) vectors to extract
features for measuring semantic and auditory similarities of turns within
dialogues in two comparable spoken corpora of two different languages. We found
people's tendency to entrain on semantic features more when compared to
auditory features. Additionally, we found that entrainment in semantic and
auditory linguistic features are positively correlated. The findings of this
study might assist in implementing the mechanism of entrainment in
human-machine interaction (HMI).

该研究利用 BERT 和 TRILL 向量等先进技术提取特征，测量两种不同语言对话中回合间的语义和听觉相似性，并发现人们更倾向于在语义特征上同调，此外，语义和听觉语言特征的同调程度呈正相关，该研究的发现有助于实施在人机交互中的同调机制。