@inproceedings{discovery1465319,
            year = {2015},
          editor = {O Brdiczka and P Chau and G Carenini and S Pan and PO Kristensson},
           title = {Managing Smartphone Interruptions through Adaptive Modes and Modulation of Notifications},
       booktitle = {IUI '15: Proceedings of the 20th International Conference on Intelligent User Interfaces},
          volume = {20},
           month = {March},
            note = {Copyright {\copyright} 2015 ACM.},
         address = {New York, NY, USA},
           pages = {296--299},
       publisher = {Association for Computing Machinery (ACM)},
          series = {International conference on Intelligent User Interfaces},
        abstract = {Smartphones are capable of alerting their users to different kinds of digital interruption using different modalities and with varying modulation. Smart notification is the capability of a smartphone for selecting the user's preferred kind of alert in particular situations using the full vocabulary of notification modalities and modulations. It therefore goes well beyond attempts to predict if or when to silence a ringing phone call. We demonstrate smart notification for messages received from a document retrieval system while the user is attending a meeting. The notification manager learns about their notification preferences from users' judgements about videos of meetings. It takes account of the relevance of the interruption to the meeting, whether the user is busy and the sensed location of the smartphone. Through repeated training, the notification manager learns to reliably predict the preferred notification modes for users and this learning continues to improve with use.},
             url = {https://doi.org/10.1145/2678025.2701390},
        keywords = {Adaptation; Smartphone notification; Interruption; Alert
modality; Machine learning},
          author = {Lopez-Tovar, H and Charalambous, A and Dowell, J}
}