Spoken dialogue systems have transformed human-machine interaction by providing real-time responses to queries. However, misunderstandings between the user and system persist. This study explores the significance of interactional language in dialogue repair between virtual assistants and users by analyzing interactions with Google Assistant and Siri, focusing on their utilization and response to the other-initiated repair strategy "huh?" prevalent in human-human interaction. Findings reveal several assistant-generated strategies but an inability to replicate human-like repair strategies such as "huh?". English and Spanish user acceptability surveys show differences in users' repair strategy preferences and assistant usage, with both similarities and disparities among the two surveyed languages. These results shed light on inequalities between interactional language in human-human interaction and human-machine interaction, underscoring the need for further research on the impact of interactional language in human-machine interaction in English and beyond.

翻译：口语对话系统通过实时响应用户查询，彻底改变了人机交互方式。然而，用户与系统之间的误解依然存在。本研究通过分析用户与谷歌助手及Siri的交互过程，重点探究虚拟助手如何运用并回应人类互动中常见的“他启修复策略”——“嗯？”，以此揭示互动语言在虚拟助手与用户间对话修复中的重要性。研究发现，助手虽能生成多种修复策略，但无法复制诸如“嗯？”这类类人修复策略。针对英语和西班牙语用户的接受度调查显示，用户在修复策略偏好及助手使用习惯上存在异同，且两种语言调查结果既有相似性也存在差异。这些发现揭示了人机互动与人机交互中互动语言的不对等性，突显了进一步研究互动语言对英语及其他语言人机交互影响的必要性。