Cultural heritage exhibitions often struggle to sustain attention and support reflective engagement. Physical exhibitions rely on fixed interpretive aids that lack adaptability to individual backgrounds or curiosity, and their effectiveness depends heavily on a visitor's Personal Context, prior knowledge, and cultural literacy. Meanwhile, digital exhibitions prioritize convenience and accessibility but risk weakening the Physical and Social Contexts that define embodied cultural experience. WhiteTesseract addresses this gap by enabling in-situ interpretation through high-resolution XR and conversational AI. The system integrates spatial intelligence via artwork recognition to allow visitors to selectively reduce environmental distractions (via diminished reality) and engage in context-aware dialogue (via large language models). The goal is to preserve the richness of the physical and social environment while providing a flexible space for personal reflection, enhancing Personal Context without compromising physical authenticity. We deployed the system in a Claude Monet exhibition and conducted a controlled user study with 26 participants. Quantitative results showed that WhiteTesseract modulation significantly increased average viewing duration from 35.3 to 98.3 seconds (p < 0.001). Analysis of 529 visitor-AI interactions revealed that 60% extended beyond factual queries to include analytical, emotional, and comparative inquiries. These findings demonstrate how XR and AI can enrich the physical exhibition experience by supporting deeper, more personalized engagement without displacing the embodied value of cultural heritage. We discuss technical and social constraints for real-world deployment and limitations of our controlled setting.

翻译：文化遗产展览常面临难以维持观众注意力及支持反思性参与的问题。物理展览依赖固定的解读辅助工具，无法适应个体背景或好奇心，其效果很大程度上取决于参观者的个人语境、先验知识与文化素养。而数字展览虽强调便利性与可及性，却可能削弱定义具身文化体验的物理语境与社会语境。WhiteTesseract通过高分辨率XR与对话式AI实现原位解读，弥合了这一鸿沟。该系统整合基于艺术品识别的空间智能，使参观者能够有选择性地减少环境干扰（通过减弱现实技术），并参与语境感知的对话（通过大语言模型）。其目标是在保留物理与社会环境丰富性的同时，提供灵活的个人反思空间，在不损害真实性的前提下增强个人语境。我们在克劳德·莫奈展览中部署该系统，并开展了一项包含26名参与者的受控用户研究。定量结果显示，WhiteTesseract的调节显著将平均观看时长从35.3秒提升至98.3秒（p<0.001）。对529次参观者-AI交互的分析表明，其中60%超越了事实性查询，延伸至分析性、情感性与比较性询问。这些发现展示了XR与AI如何通过支持更深层、更具个性化的参与来丰富物理展览体验，同时不取代文化遗产的具身价值。我们讨论了系统在实际部署中的技术与社会约束，以及受控实验设置的局限性。