arXiv cs.CL· Giuseppe Attanasio, Beatrice Savoldi, Daniel Chechelnitsky, Matteo Negri, Marine Carpuat, Maarten Sap, Andr\'e F. T. Martins·· 3 天前AI 评分27
Ouvia：面向真实沟通场景的语音翻译可用性评估框架
Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios
AI 导读
研究团队提出 Ouvia，一个以用户为中心、衡量真实场景语音翻译可用性的评估框架，通过定制 Web 应用收集了 1,750 余次英译葡一对一沟通交互，覆盖医疗与日常场景、四套 ST 系统、三种英语口音和两种性别。结果显示仅约一半交互被评为可用，且不同人群间可用性差距显著；在各类质量指标中，基于 QA 的评估对真实可用性的预测能力明显强于标准方法。
正文 · 原文
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. Moreover, among quality metrics, we find that QA-based evaluation is a substantially stronger predictor of real-world usability than standard approaches. Together, these findings stress the importance of situated, user-centered evaluation frameworks that go beyond holistic quality scores and attend to who the technology serves---and how well.
| Comments: | Code and data at this https URL -- Accepted at EMNLP 2026 |
| Subjects: | Computation and Language (cs.CL); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2606.06177 [cs.CL] |
| (or arXiv:2606.06177v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2606.06177 arXiv-issued DOI via DataCite |
Submission history
From: Giuseppe Attanasio [view email]
[v1]
Thu, 4 Jun 2026 13:52:21 UTC (221 KB)
[v2]
Wed, 14 Oct 2026 16:56:04 UTC (229 KB)
来源：arXiv cs.CL · arxiv.org