Memento用AR助手主动回忆用户日常兴趣，结合时空与行为上下文智能提醒。
Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistant
- 通过记录语音查询与时空活动上下文，构建长期记忆
- 在相似场景下主动推送相关更新信息，实现无缝交互
- 适合需要持续上下文感知的日常AR应用开发者
我们提出Memento，一种会话式AR助手，能永久捕捉用户的口头查询及其时空位置和活动背景。通过存储这些“记忆”，Memento发现用户反复兴趣与触发情境之间的关联。当检测到相似或相同的时空活动时，Memento会主动回忆用户兴趣，并以AR形式提供最新回应，自然融入日常流程。与以往工作不同，Memento中的每次交互并非瞬时事件，而是一系列具有连贯长期视角的互动，贴合用户更广泛的多模态（视觉、空间、时间与身体）上下文。我们通过多样化沉浸式应用经验用户的反馈进行了初步评估，探索了主动式上下文感知AR助手在日常生活中的价值。本文分享了设计此类主动、上下文感知系统所面临的发现与挑战。
原文摘要 · Abstract (English)
We introduce Memento, a conversational AR assistant that permanently captures and memorizes user's verbal queries alongside their spatiotemporal and activity contexts. By storing these "memories," Memento discovers connections between users' recurring interests and the contexts that trigger them. Upon detection of similar or identical spatiotemporal activity, Memento proactively recalls user interests and delivers up-to-date responses through AR, seamlessly integrating AR experience into their daily routine. Unlike prior work, each interaction in Memento is not a transient event, but a connected series of interactions with coherent long--term perspective, tailored to the user's broader multimodal (visual, spatial, temporal, and embodied) context. We conduct a preliminary evaluation through user feedbacks with participants of diverse expertise in immersive apps, and explore the value of proactive context-aware AR assistant in everyday settings. We share our findings and challenges in designing a proactive, context-aware AR system.
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