HeadRoom: Lightweight, Edge-deployable Pipeline for Adaptive Notification Routing
For wearable and immersive system users, this work enables real-time adaptive notification routing to reduce response times under high perceptual load.
HeadRoom is a lightweight, edge-deployable pipeline that estimates visual and auditory channel availability from egocentric video and audio, enabling adaptive notification routing. In a user study (N=25), routing to the more available channel under high perceptual load reduced response time compared to the less available channel.
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.