Feb. 9, 2024, 5:47 a.m. | Matthew Galbraith

cs.CL updates on arXiv.org arxiv.org

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 …

analysis assistant assistants cs.cl cs.hc cs.ro dialogue google google assistant human human-machine interaction interactions language machine real-time responses significance siri spoken study systems virtual virtual assistants voice voice assistants

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