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arxivcs.HC2026-07-09

HeadRoom: Lightweight, Edge-deployable Pipeline for Adaptive Notification Routing

Dinithi Dissanayake, Prasanth Sasikumar, Suranga Nanayakkara

Emerging wearables, such as smart glasses, can deliver notifications through multiple sensory channels, but there is still a limited understanding of how to choose the right channel at the right moment. We propose HeadRoom, a lightweight, edge-deployable pipeline that estimates the availability of visual and auditory channels in real time from egocentric video and audio. Our controlled user study (N=25) shows that, under high perceptual load, routing notifications to the more available channel reduces response time relative to routing them to the less available channel. This work opens up a new possibility for adaptive routing of notifications in wearable and immersive systems.

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