Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistant
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 40 of its 80 references that are in the map. First posted on arXiv 24 Jan 2026.
Builds on
40 of 80 references.
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28 more
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Citing papers per year: 2026: 1.
1 paper.
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