@conference {143,
	title = {Discovering User Location Semantics using Mobile Notification Handling Behaviour},
	booktitle = {15th European Conference on Ambient Intelligence (AmI{\textquoteright}19)},
	year = {2019},
	note = {Best paper nomination},
	month = {11/2019},
	publisher = {Springer},
	organization = {Springer},
	address = {Rome, Italy},
	abstract = {We analyse data from a longitudinal study of 44participants, including notification handling, device state and location information. We demonstrate that it is possible to semantically label a user{\textquoteright}s location based on their notification handling behaviour, even when location coordinates are obfuscated so as not to precisely match known venue lo- cations. Privacy-preserving semantic labelling of a user{\textquoteright}s location can be useful for the contextually-relevant handling of interruptions and service delivery on mobile device},
	keywords = {Interruption management, Mobile notifications, Semantic location labelling},
	doi = {10.1007/978-3-030-34255-5_15},
	author = {Andreas Komninos and Ioulia Simou and Elton Frengkou and John Garofalakis}
}
@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}
}
