ABSTRACT

Two studies investigated the influence of conversational role on phonetic imitation toward human and voice-AI interlocutors. In a Word List Task, the giver instructed the receiver on which of two lists to place a word; this dialogue task is similar to simple spoken interactions users have with voice-AI systems. In a Map Task, participants completed a fill-in-the-blank worksheet with the interlocutors, a more complex interactive task. Participants completed the task twice with both interlocutors, once as giver-of-information and once as receiver-of-information. Phonetic alignment was assessed through similarity rating, analysed using mixed effects logistic regressions. In the Word List Task, participants aligned to a greater extent toward the human interlocutor only. In the Map Task, participants as giver only aligned more toward the human interlocutor. Results indicate that phonetic alignment is mediated by the type of interlocutor and that the influence of conversational role varies across tasks and interlocutors.

摘要

两项研究调查了对话角色对人类和语音 AI 对话者的语音模仿的影响。在单词列表任务中，提供者指示接收者在两个列表中的哪个列表中放置一个单词；这个对话任务类似于用户与语音人工智能系统的简单口语交互。在地图任务中，参与者与对话者一起完成填空工作表，这是一项更复杂的交互任务。参与者与两位对话者完成了两次任务，一次作为信息的提供者，一次作为信息的接收者。语音对齐通过相似性评级进行评估，并使用混合效应逻辑回归进行分析。在单词列表任务中，参与者在更大程度上只与人类对话者保持一致。在地图任务中，参与者作为给予者只会更多地与人类对话者保持一致。结果表明语音对齐是由对话者的类型介导的，对话角色的影响因任务和对话者而异。