研究人员开发了Ouvia，一个基于用户在真实场景中感知可用性来评估语音翻译（ST）系统的新框架。一项涉及英葡语者之间超过1750次交互的研究发现，当前的ST系统仅在约一半的情况下可用，且在不同人口统计群体之间存在显著差异。该框架强调了进行情境化、以用户为中心的评估的必要性，这些评估超越了标准的质量指标，以更好地理解ST技术如何服务于不同的用户。 AI
影响 强调了对AI翻译工具进行以用户为中心评估的必要性，表明当前系统可能无法满足多样化的真实通信需求。
排序理由 该集群包含一篇详细介绍新研究框架和研究结果的学术论文。
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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 evaluatio…
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 usabili…
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 usabili…