@conference {120,
	title = {Predicting User Responsiveness to Smartphone Notifications for Edge Computing},
	booktitle = {2018 European Conference on Ambient Intelligence (AmI-18)},
	year = {2018},
	note = {Best paper award},
	month = {10/2018},
	publisher = {Springer},
	organization = {Springer},
	address = {Larnaca, Cyprus},
	abstract = {Edge computing requires the addressing of several challenges in terms of privacy, complexity, bandwidth and battery life. While in the past attempts have been made to predict users{\textquoteright} responsiveness to smartphone notifications, we show that this is possible with a minimal number of just three features synthesized from non-sensor based data. Our approach demonstrates that it is possible to classify user attentiveness to notifications with good accuracy, and predict response time to any type of notification within a margin of 1 minute, without the need for personalized modelling.},
	keywords = {Attentivity, Notifications, Responsiveness, Smartphones},
	doi = {10.1007/978-3-030-03062-9_1},
	author = {Andreas Komninos and Elton Frengkou and John Garofalakis}
}
