Paper Info
Title
Mindful interruptions: a lightweight system for managing interruptibility on wearables.
Abstract
We present the design, development, and evaluation of a personalised, privacy-aware and multi-modal wearable-only system to model interruptibility. Our system runs as a background service of a wearable OS and operates on two key techniques: i) online learning to recognise interruptible situation at a personal scale and ii) runtime inference of opportune moments for an interruption. The former is realised by a set of fast and efficient algorithms to automatically discover and learn interruptible situations as a function of meaningful places, and physical and conversational activities with active user engagement. The latter is substantiated with a multi-phased context sensing mechanics to identify moments which are then utilised to delivery notifications and interactive contents at the right moment. Early experimental evaluation of our system shows a sharp 46% increase in the response rate of notifications in wearable settings at the expense of negligible 6.3% resource cost.
Year
DOI
Venue
2018
10.1145/3211960.3211974
MobiSys '18: The 16th Annual International Conference on Mobile Systems, Applications, and Services Munich Germany June, 2018
DocType
ISBN
Citations 
Conference
978-1-4503-5842-2
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Claudio Forlivesi115510.07
Utku Günay Acer2749.53
Marc Van den Broeck3245.69
Fahim Kawsar490980.24