{"ID":6267020,"CreatedAt":"2026-07-10T01:11:38.759438437Z","UpdatedAt":"2026-07-12T03:28:36.982449166Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.08083","arxiv_id":"2607.08083","title":"HeadRoom: Lightweight, Edge-deployable Pipeline for Adaptive Notification Routing","abstract":"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.","short_abstract":"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 c...","url_abs":"https://arxiv.org/abs/2607.08083","url_pdf":"https://arxiv.org/pdf/2607.08083v1","authors":"[\"Dinithi Dissanayake\",\"Prasanth Sasikumar\",\"Suranga Nanayakkara\"]","published":"2026-07-09T03:32:38Z","proceeding":"cs.HC","tasks":"[\"cs.HC\"]","methods":"[]","has_code":false}