Intelligent writing assistants powered by large language models (LLMs) are more popular today than ever before, but their further widespread adoption is precluded by sub-optimal performance. In this position paper, we argue that a major reason for this sub-optimal performance and adoption is a singular focus on the information content of language while ignoring its social aspects. We analyze the different dimensions of these social factors in the context of writing assistants and propose their incorporation into building smarter, more effective, and truly personalized writing assistants that would enrich the user experience and contribute to increased user adoption.

翻译：由大型语言模型（LLMs）驱动的智能写作助手如今比以往任何时候都更受欢迎，但其进一步广泛采用因性能欠佳而受阻。在这篇立场论文中，我们认为这种性能欠佳与采用不足的一个主要原因是过度关注语言的信息内容，而忽视了其社会层面。我们分析了写作助手场景下这些社会因素的不同维度，并提出将其融入构建更智能、更高效且真正个性化的写作助手，以丰富用户体验，并促进用户采用率的提升。