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：在人工智能中介通信（AIMC）快速发展的背景下，基于大语言模型（LLMs）的工具正逐渐成为人际沟通中不可或缺的组成部分。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，探究用户对这类工具能力的认知：1）在短期内支持人际沟通，以及2）可能带来的长期影响。研究结果表明，参与者对AIMC支持持积极态度，提到其优点包括提升沟通自信心、找到表达思想的精准语言、以及克服语言和文化障碍。然而，该研究也揭示了AIMC工具目前存在的局限性，如冗长、回应不自然及情感强度过度。这些缺点进一步加剧了用户对不真实性和可能过度依赖技术的担忧。此外，我们识别出由沟通风险（高或低）与关系动态（正式或非正式）界定的四个关键沟通空间，这些空间差异性地预测了用户对AIMC工具的态度。具体而言，参与者发现该工具更适用于正式关系中的沟通而非非正式关系，并在高风险沟通中比低风险沟通更为有益。