The growing prevalence of Large Language Models (LLMs) is reshaping online text-based communication; a transformation that is extensively studied as AI-mediated communication. However, much of the existing research remains bound by traditional communication models, where messages are created and transmitted directly between humans despite LLMs being able to play a more active role in transforming messages. In this work, we propose the Intersubjective Model of AI-mediated Communication, an alternative communication model that leverages LLM-based adaptive agents to augment human-human communication. Unlike traditional communication models that focus on the accurate transmission of information, the Intersubjective Model allows for communication to be designed in an adaptive and customizable way to create alternative interactions by dynamically shaping messages in real time and facilitating shared understanding between the human participants. In this paper, we have developed a prototype text chat system based on the Intersubjective Model to describe the potential of this model, as well as the design space it affords.

翻译：大型语言模型（LLM）的日益普及正在重塑基于文本的在线交流，这一转变被广泛研究为AI中介传播。然而，现有研究大多仍受限于传统传播模型——尽管LLM能够在信息转换中发挥更积极的作用，但此类模型中信息仍直接在人类之间创建与传递。本研究提出一种主体间性AI中介传播模型，该替代性传播模型利用基于LLM的自适应智能体来增强人-人交流。与聚焦信息准确传递的传统传播模型不同，主体间性模型允许以自适应、可定制的方式设计传播过程，通过实时动态塑造信息流并促进人类参与者之间的共同理解，从而创造新型交互形态。本文基于该模型开发了原型文本对话系统，以阐述该模型的潜力及其所提供的设计空间。