关注普通用户在机器翻译中的体验，推动技术更贴近普通人需求。
Translation in the Hands of Many:Centering Lay Users in Machine Translation Interactions
- 聚焦非专业用户使用机器翻译的互动模式。
- 指出可用性、信任感和语言素养是核心影响因素。
- 适合研究人机交互与普惠AI的学者参考。
社会与技术因素的交汇使语言技术演变为面向公众的用户应用，机器翻译（MT）已成为全球通用工具，跨语言服务现由多语言大语言模型（LLMs）驱动的对话系统支持。广泛可及性使大量无语言或技术背景的普通用户使用MT，但这类用户的实际需求、使用体验及与多语言系统的互动仍缺乏深入理解。本文通过梳理MT用户画像演变，重点分析非专家群体在大语言模型兴起背景下的使用行为变化。基于跨学科研究，提出可用性、信任感和语言素养三大关键维度，强调需以此为导向实现以用户为中心的机器翻译发展。
原文摘要 · Abstract (English)
Converging societal and technical factors have transformed language technologies into user-facing applications used by the general public across languages. Machine Translation (MT) has become a global tool, with cross-lingual services now also supported by dialogue systems powered by multilingual Large Language Models (LLMs). Widespread accessibility has extended MT's reach to a vast base of lay users, many with little to no expertise in the languages or the technology itself. And yet, the understanding of MT consumed by such a diverse group of users -- their needs, experiences, and interactions with multilingual systems -- remains limited. In our position paper, we first trace the evolution of MT user profiles, focusing on non-experts and how their engagement with technology may shift with the rise of LLMs. Building on an interdisciplinary body of work, we identify three factors -- usability, trust, and literacy -- that are central to shaping user interactions and must be addressed to align MT with user needs. By examining these dimensions, we provide insights to guide the progress of more user-centered MT.
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