Artificial influence: the impact of perceived AI versus human interlocutors on syntactic priming in speech
摘要
When speakers are exposed to a particular syntactic construction, it can prime them to use similar structures in their own speech. Previous studies have demonstrated that this syntactic priming effect is influenced by a multitude of linguistic, cognitive, and social factors. The current study evaluated the impact of perceived AI interlocutors on syntactic priming. We conducted an experiment where naïve participants played a picture-description and -matching game. In this dialogue task, participants believed that they were interacting with either a human or an AI-powered chatbot. In fact, in both cases the unseen “interlocutor” was a trained research assistant delivering pre-scripted utterances. The results showed that participants were less likely to repeat the syntactic structure of their interlocutors when they perceived them as AI agents, as opposed to humans. These findings suggest that individuals may show varying degrees of communicative accommodation in grammatical choices across different interactional contexts.