In the rapidly evolving landscape of AI-mediated communication (AIMC), tools powered by Large Language Models (LLMs) are becoming integral to interpersonal communication. Employing a mixed-methods approach, we conducted a one-week diary and interview study to explore users' perceptions of these tools' ability to: 1) support interpersonal communication in the short-term, and 2) lead to potential long-term effects. Our findings indicate that participants view AIMC support favorably, citing benefits such as increased communication confidence, and finding precise language to express their thoughts, navigating linguistic and cultural barriers. However, the study also uncovers current limitations of AIMC tools, including verbosity, unnatural responses, and excessive emotional intensity. These shortcomings are further exacerbated by user concerns about inauthenticity and potential overreliance on the technology. Furthermore, we identified four key communication spaces delineated by communication stakes (high or low) and relationship dynamics (formal or informal) that differentially predict users' attitudes toward AIMC tools. Specifically, participants found the tool is more suitable for communicating in formal relationships than informal ones and more beneficial in high-stakes than low-stakes communication.

翻译：在人工智能中介沟通（AIMC）快速发展的背景下，基于大型语言模型（LLMs）的工具正成为人际沟通中不可或缺的组成部分。通过采用混合研究方法，我们开展了一项为期一周的日记与访谈研究，以探究用户对这些工具能力的感知：1）短期支持人际沟通；2）可能产生的长期影响。研究结果显示，参与者对AIMC支持持积极态度，认为其具有提升沟通自信、帮助找到精准表达思想的语言以及跨越语言文化障碍等优势。然而，研究也揭示了AIMC工具当前存在的局限性，包括冗长、回复不自然以及情绪强度过高等问题。这些缺陷进一步加剧了用户对不真实性和潜在技术过度依赖的担忧。此外，我们识别出由沟通利害关系（高/低）和关系动态（正式/非正式）界定的四个关键沟通空间，这些空间能差异化地预测用户对AIMC工具的态度。具体而言，参与者认为该工具更适合正式关系而非非正式关系中的沟通，在高利害关系情境中比低利害关系情境中更具优势。