@article {157,
	title = {Where am I? Predicting user location semantics from engagement with smartphone notifications},
	journal = {Journal of Ambient Intelligence and Humanized Computing},
	year = {2020},
	month = {11/2020},
	publisher = {Springer},
	abstract = {Location semantics are important for the delivery of context-aware ubiquitous services to users, such as the contextually-relevant handling of interruptions on mobile devices. For such purposes, user coordinates can be used to query global venue databases, to get back the likely venue (and its categories) where the user is located. This potentially compromises user privacy, allowing service providers to track users. We analyse data from a longitudinal study of 44 participants (university students and staff in Patras, Greece), including notification handling, device state and location information. Using semantic labels from the Google Places API as ground truth, 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 locations. On the other hand, the reliability of this ground truth is questioned through a crowdsourcing exercise. We demonstrate that Places API data can only be reliably used for some venue categories, and recommend best practices for using such data to establish ground truth in location context aware services.},
	keywords = {Interruption management, Location Services, Mobile notifications, Semantic location labelling},
	issn = {1868-5145},
	doi = {10.1007/s12652-020-02680-x},
	url = {https://doi.org/10.1007/s12652-020-02680-x},
	author = {Andreas Komninos and Ioulia Simou and Frengkou, Antonis-Elton and Gkorgkolis, Nikolaos and John Garofalakis}
}
@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}
}
