Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios 文章

ArXiv CS.CL2026-06-05NEWSen作者: Giuseppe Attanasio, Beatrice Savoldi, Daniel Chechelnitsky, Matteo Negri, Marine Carpuat, Maarten Sap, Andr\'e F. T. Martins

摘要

arXiv:2606.06177v1 Announce Type: new Abstract: Speech translation (ST) is increasingly adopted in user applications, yet its evaluation largely focuses on decontextualized testbeds and holistic quality, rather than end users' communication needs. We introduce Ouvia, an evaluation framework for measuring user-perceived usability of speech translation outputs in real-world settings. Ouvia focuses on one-to-one communication: an English speaker needs to convey a request to a Portuguese speaker, and the message is automatically translated. Through a custom web app and multi-phase study design, we collect more than 1,750 such interactions in healthcare and everyday situations, mediated by four ST systems, involving speakers from three English dialects and two genders. We find that modern ST serves people only to a limited extent -- only around half of interactions are rated as usable -- with significant gaps in reported usability across demographic groups.