HeadRoom：适用于自适应通知路由的轻量级边缘可部署管道
HeadRoom: Lightweight, Edge-deployable Pipeline for Adaptive Notification Routing
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中文总结 AI 辅助
针对新兴可穿戴设备通知路由问题，提出轻量级边缘可部署管道HeadRoom，通过自我中心视频和音频实时估计通道可用性，用户研究表明高负载下该方法能减少通知响应时间，为可穿戴和沉浸式系统通知自适应路由提供新可能。
中文摘要 AI 辅助
新兴可穿戴设备，如智能眼镜，可通过多种感官通道发送通知，但对于如何在合适时刻选择正确通道的理解仍有限。我们提出了HeadRoom，这是一个轻量级、边缘可部署的管道，可从自我中心视频和音频实时估计视觉和听觉通道的可用性。我们的用户控制研究（N = 25）表明，在高感知负载下，将通知路由到可用性更高的通道相比于路由到可用性较低的通道可减少响应时间。这项工作为可穿戴和沉浸式系统中通知的自适应路由开辟了新的可能性。
英文摘要
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.
