Understanding smartphone notifications’ user interactions and content importance
We present the results of our experiment aimed to comprehensively understand the combination of 1) how smartphone users interact with their notifications, […]
Energy-efficient prediction of smartphone unlocking
We investigate the predictability of the next unlock event on smartphones, using machine learning and smartphone contextual data. In a 2-week field […]
On detecting online radicalization using natural language processing
This paper suggests a new approach for radicalization detection using natural language processing techniques. Although, intuitively speaking, detection of radicalization from only […]
Assisted Medication Management in Elderly Care Using Miniaturised Near-Infrared Spectroscopy
Near-infrared spectroscopy (NIRS) measures the light reflected from objects to infer highly detailed information about their molecular composition. Traditionally, NIRS has been […]