In remote and hybrid work contexts, the integration of physical and digital environments is revolutionizing spatial experiences, collaboration, and interpersonal interactions. This study examines three fundamental spatial conditions: the physical environment, characterized by material and sensory attributes; the virtual environment, influenced by immersive technologies; and their fusion into hybrid environments where digital and physical components interact dynamically. The increasing number of AI tools in contemporary society, extensively utilized in both professional and personal spheres, has led to a varied landscape of developing technologies. For instance, ChatGPT has emerged as one of the most downloaded applications, a statistically substantiated fact that demonstrates the swift incorporation of language-based AI into daily life. It also underscores the function of large language models (LLMs) as meaningful bridges between concepts at reading emotional and behavioral signals via natural language. These models provide real-time modifications such as altering illumination, acoustics, or interface configurations, converting static settings into dynamic, emotionally receptive environments. We investigate the integration of language models into professional settings and their potential to enhance user experience by promoting focus, well-being, and engagement. The study investigates ethical concerns, including privacy, emotional tracking, and user agency, emphasizing the importance of inclusive and transparent design. This research formulates a framework for creating co-adaptive environments that merge technological innovation with human-centered experiences, offering a fresh viewpoint on responsive and supportive hybrid workspaces.

翻译：在远程与混合工作情境中，物理环境与数字环境的融合正在彻底改变空间体验、协作和人际互动。本研究考察三种基本空间条件：以物质和感官属性为特征的物理环境；受沉浸式技术影响的虚拟环境；以及数字与物理组件动态交互的混合环境。当代社会中日益增多的AI工具被广泛用于专业与个人领域，形成了多样化的技术发展格局。例如，ChatGPT已成为下载量最高的应用之一——这一统计验证的事实表明基于语言的人工智能正迅速融入日常生活。这也突显了大语言模型通过自然语言解读情感与行为信号，作为意念之间有意义桥梁的功能。这些模型能提供实时调整，如改变照明、声学或界面配置，将静态环境转化为动态、情感响应型空间。我们研究语言模型在专业工作中的集成及其通过促进专注力、健康感和参与度来增强用户体验的潜力。本研究探讨了包括隐私、情感追踪和用户自主权在内的伦理问题，强调包容性透明设计的重要性。本项研究构建了一个融合技术创新与人文体验的共适应环境框架，为响应式支持型混合工作空间提供了全新视角。