研究普通人如何使用不完美的机器翻译，发现非双语者容易过度依赖却难识别错误。
Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations
- 在博物馆开展真人实验，观察用户对翻译错误的反应
- 非双语者因缺乏评估能力而过度依赖机器翻译
- 结果呼吁提升用户对翻译质量的辨别力与理解力
随着机器翻译（MT）日益普及，理解普通公众如何感知和依赖不完美翻译，对于将MT研究置于真实应用场景中至关重要。我们在一家公共博物馆开展了一项包含452名参与者的人类研究，探讨流畅性与准确度错误如何影响双语及非双语用户在日常使用中对MT的依赖程度。研究发现，非双语用户由于缺乏评估策略和替代方案，往往过度依赖机器翻译；但当他们亲身经历翻译错误的影响后，会重新审视未来对MT的使用态度。这凸显了发展机器翻译评估与自然语言处理解释技术的重要性，不仅在于提升翻译质量，更在于培养用户对机器翻译的认知素养。
原文摘要 · Abstract (English)
As Machine Translation (MT) becomes increasingly commonplace, understanding how the general public perceives and relies on imperfect MT is crucial for contextualizing MT research in real-world applications. We present a human study conducted in a public museum (n=452), investigating how fluency and adequacy errors impact bilingual and non-bilingual users' reliance on MT during casual use. Our findings reveal that non-bilingual users often over-rely on MT due to a lack of evaluation strategies and alternatives, while experiencing the impact of errors can prompt users to reassess future reliance. This highlights the need for MT evaluation and NLP explanation techniques to promote not only MT quality, but also MT literacy among its users.
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