论文标题
超越通用机器翻译：需要特定上下文特定的实证研究来设计适当的用户信任
Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
论文作者
论文摘要
机器翻译（MT）有可能帮助人们克服语言障碍，并广泛用于高风险场景，例如在医院中。但是，为了可靠，安全地使用MT，用户需要了解何时信任MT输出以及如何评估通常不完美翻译结果的质量。在本文中，我们讨论了支持用户校准对MT系统的信任的研究方向。我们分享了一项实证研究的发现，在该研究中，我们与20位临床医生进行了半结构化访谈，以了解他们如何在语言障碍中与患者进行沟通，以及他们如何以及如何使用MT系统。根据我们的发现，我们主张有关如何在实践中使用MT系统的实证研究，以此作为解决用户和MT工具之间建立适当信任的挑战的重要第一步。
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such as in hospitals. However, in order to use MT reliably and safely, users need to understand when to trust MT outputs and how to assess the quality of often imperfect translation results. In this paper, we discuss research directions to support users to calibrate trust in MT systems. We share findings from an empirical study in which we conducted semi-structured interviews with 20 clinicians to understand how they communicate with patients across language barriers, and if and how they use MT systems. Based on our findings, we advocate for empirical research on how MT systems are used in practice as an important first step to addressing the challenges in building appropriate trust between users and MT tools.
